<h3 id="isPasted">The Sphera Simulator: Revolutionizing Drone Pilot Training Through Realistic Virtual Environments</h3><p>As the demand for skilled drone pilots continues to rise, so does the need for comprehensive, cost-effective, and technologically advanced training solutions. Traditional training methods, which often require real-world hardware, carry risks, high costs, and environmental impacts. Enter the <strong>Sphera Simulation</strong>—a groundbreaking platform that not only addresses these challenges but also redefines the standards of drone pilot training.</p><p>Sphera’s ability to create hyper-realistic environments, underpinned by its meticulous replication of physical laws and dynamic conditions, positions it as a premier solution for training drone pilots. This article delves into why Sphera is the ideal training tool for drone pilots, highlighting its benefits in cost reduction, skill development, environmental sustainability, and technological supremacy.</p><hr><h3>Breaking the Cost Barrier: A Financial Game-Changer</h3><p>Drone pilot training is traditionally expensive. From fuel and operational costs to potential damage during flight training, the financial burden can be substantial. Furthermore, scaling up training programs for large teams often leads to skyrocketing expenses, making it impractical for many organizations.</p><p>Sphera eliminates these barriers. By shifting training into a fully digital environment, costs associated with equipment wear-and-tear, maintenance, and replacement are minimized. Organizations can train pilots on intricate maneuvers, emergency protocols, and mission-specific tasks without deploying actual drones. This risk-free setting not only saves money but also ensures that expensive equipment remains operationally ready for critical missions.</p><p>Additionally, the scalability of the Sphera platform allows organizations to train multiple pilots simultaneously, offering significant financial and logistical advantages. Training costs per pilot are reduced drastically, enabling institutions to allocate resources to other operational priorities.<br><br><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1735200584605-%D7%AA%D7%9E%D7%95%D7%A0%D7%94+%D7%A9%D7%9C+WhatsApp%E2%80%8F+2024-12-26+%D7%91%D7%A9%D7%A2%D7%94+09.57.35_2771e78d.jpg" style="width: 100%px;" class="fr-fic fr-dib"></p><hr><h3>Realism Redefined: A Digital Twin for Immersive Training</h3><p>What truly sets Sphera apart is its <strong>unmatched realism</strong>. The platform leverages cutting-edge technology to create an exact digital twin of the real world, replicating everything from terrain intricacies to atmospheric conditions.</p><h4>1. <strong>Precise Physical Laws</strong></h4><p>Unlike many existing simulators that fail to emulate real-world physics accurately, Sphera’s simulation engine is built with precision at its core. Factors such as wind resistance, aerodynamic behavior, gravitational effects, and turbulence are calculated and applied in real-time. This ensures that pilots experience a virtual environment indistinguishable from reality.</p><h4>2. <strong>Dynamic Environmental Conditions</strong></h4><p>Sphera allows pilots to train in varied scenarios, including low-light conditions, strong winds, heavy rain, or even maritime environments where drones need to land on moving platforms. The ability to simulate these challenges provides pilots with essential experience and confidence, reducing errors in real-life operations.</p><h4>3. <strong>Tailored Training Modules</strong></h4><p>Thanks to its adaptability, the Sphera platform can be customized to mimic mission-specific environments. From urban landscapes to dense forests, the digital twin capability ensures pilots are prepared for their unique operational contexts.</p><hr><h3>Technological Excellence: Addressing Historical Challenges in Simulation</h3><p>One of the most significant limitations of traditional simulators has been their inability to replicate physical conditions with sufficient accuracy. Research in the field of simulation technology has highlighted recurring issues, such as:</p><ul><li>Simplified physics models that fail to account for real-world complexities.</li><li>Inability to dynamically adapt to changing environmental factors.</li><li>Poor rendering quality, which diminishes the immersive experience.</li></ul><p>Studies such as those published in the <strong>Journal of Simulation Technology and Applications</strong> have documented how these limitations lead to a gap between simulated training and actual performance.</p><p>Sphera overcomes these challenges with its advanced algorithms, high-fidelity rendering, and customizable modules. By bridging the gap between simulation and reality, it ensures that pilots are not only trained but are mission-ready.</p><hr><h3>Environmental Sustainability: Training Without a Carbon Footprint</h3><p>In addition to cost savings and realism, Sphera’s digital approach aligns with global sustainability goals. Traditional drone training contributes to environmental pollution through fuel consumption and potential damage to ecosystems during crashes or test flights.</p><p>By conducting training entirely in the virtual realm, Sphera eliminates these environmental impacts. Pilots can rehearse complex maneuvers, run diagnostic simulations, and explore challenging conditions—all without a single flight in the physical world. This reduction in carbon emissions makes Sphera a tool not only for advancing technology but also for preserving the planet.<br><br><br><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1735199446178-Sphera+by+Robotican+-+Weather+change+control.jpg" style="width: 100%px;" class="fr-fic fr-dib"></p><hr><h3>The Ultimate Practice Tool for Teams</h3><p>Sphera’s value extends beyond individual training. It serves as an unparalleled resource for entire drone teams, enabling synchronized training for coordinated missions.</p><p>For instance, a team of pilots working on a search-and-rescue mission can train together in a shared virtual environment, practicing communication, navigation, and task execution in real time. The platform’s modular design ensures that teams can simulate and refine complex collaborative workflows without risking human lives or equipment.</p><p>Furthermore, Sphera’s continuous availability means training can be conducted at any time, removing constraints related to weather, location, or time zones. This flexibility is especially critical for organizations operating on tight schedules or in remote areas.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1735200626205-%D7%AA%D7%9E%D7%95%D7%A0%D7%94+%D7%A9%D7%9C+WhatsApp%E2%80%8F+2024-12-26+%D7%91%D7%A9%D7%A2%D7%94+10.03.35_11b4922c.jpg" style="width: 100%px;" class="fr-fic fr-dib"></p><hr><h3>A Platform That Redefines Excellence</h3><p>Sphera’s success as a simulation tool lies in its ability to combine technological sophistication with practical application. Its user-friendly interface, compatibility with industry-standard tools, and robust customer support further enhance its appeal as a comprehensive solution for drone pilot training.</p><h4>A Comparison with Legacy Simulators</h4><p>Unlike legacy systems, which often require extensive hardware setups and deliver subpar visual and physical fidelity, Sphera offers a streamlined experience that is accessible yet powerful. Its photorealistic rendering, combined with precise physics modeling, ensures a seamless transition from virtual training to real-world application.</p><hr><h3>Conclusion: Empowering the Future of Drone Operations</h3><p>The Sphera Simulation is more than just a training tool—it is a transformative platform that empowers drone pilots and organizations to achieve excellence. By reducing costs, enhancing training quality, and supporting sustainability, it sets a new standard for the industry.</p><p>For organizations looking to optimize their training programs, Sphera offers the perfect combination of realism, efficiency, and innovation. Its ability to create a digital twin of the real world ensures that pilots are prepared for the challenges of tomorrow, making it an essential asset in any drone pilot’s toolkit.&nbsp;<br><br>The Sphera Simulation stands apart as a fully in-house creation by Robotican, reflecting the company’s dedication to precision and innovation. Every component of the simulator, from its advanced physics engine to its photorealistic rendering capabilities, has been meticulously developed within the company to ensure seamless integration and performance. Currently, the simulator is in its final stages of development, with a strong focus on UX/UI design to enhance user accessibility and satisfaction. Despite being in these final stages, Sphera has already gained recognition and adoption by leading drone companies worldwide, solidifying its reputation as a transformative tool in the industry. For more information about Robotican and its cutting-edge solutions, visit <a rel="noopener" target="_new" href="https://www.robotican.net" id="isPasted">Robotican’s&nbsp;official&nbsp;website</a>.</p><p>Sphera is the future of drone training is not only brighter but also smarter and greener.</p>

Redefining Drone Training with Cutting-Edge Virtual Realism and Unmatched Efficiency

Sphera Simulation as a drone pilot simulator: Revolutionizing Drone Pilot Training Through Realistic Virtual Environments

<h3 data-pm-slice="1 1 []" id="isPasted">The Sphera Simulation: A Supreme Tool in Drone and Robotics Development</h3><h4>Revolutionizing Testing, Modeling, and Optimization in Complex Engineering Environments</h4><p>The Sphera Simulation stands as a revolutionary platform in the field of drone and robotics development, delivering unmatched capabilities for modeling, testing, and optimization. Unlike conventional simulation systems, which often suffer from limited customization or generic dynamics, Sphera integrates advanced photorealistic visualization, precise physical modeling, and highly adaptable sensor configurations. These features empower engineers to craft high-fidelity digital twins that mirror the intricate behaviors of real-world systems, thus minimizing reliance on costly and time-intensive hardware trials.</p><p><strong>Unparalleled Algorithm Development and Efficiency</strong></p><p>Sphera transcends standard simulation platforms by providing a robust and versatile environment for algorithm development. Developed by Dr. Yam Geva, who holds a PhD in Mechanical Engineering, and Omri Eitan, an accomplished software engineer, Sphera facilitates the rapid iteration of advanced algorithms. Compared to traditional testing frameworks, which often require significant hardware deployment or field trials, Sphera accelerates the transition from conceptual design to operational implementation. This streamlined workflow not only reduces development timelines but also significantly mitigates financial and operational risks, setting Sphera apart as a premier tool for algorithm refinement.</p><p>While other alternative systems offer basic functionalities, they lack the depth of customization and photorealistic capabilities that define Sphera. For example, Sphera’s ability to simulate intricate environmental conditions, such as sea motion, wind dynamics, and variable visibility, ensures that it meets the rigorous demands of cutting-edge drone navigation and control algorithms. These features render Sphera particularly advantageous for developers seeking precision and reliability in complex scenarios.<br><br><br><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1734329607553-Sphera+by+Robotican+-+Weather+change+control.jpg" style="width: 100%px;" class="fr-fic fr-dib"><br></p><p><strong>Enhanced Presentation and Stakeholder Engagement</strong></p><p>Beyond its technical prowess, Sphera is an invaluable asset for external engagement. The platform’s capacity to generate photorealistic simulations and elaborate operational scenarios allows organizations to present their technologies with clarity and impact. Stakeholders, including clients, investors, and collaborators, can experience a visually immersive demonstration of system performance under real-world conditions. This level of engagement not only builds trust but also fosters deeper collaboration and alignment on project objectives. Compared to generic simulation tools, Sphera’s advanced visualization capabilities significantly elevate the quality of stakeholder presentations.<br><br><br><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1734329323628-photo_9_2024-10-14_17-04-54.jpg" style="width: 100%px;" class="fr-fic fr-dib"><br></p><p><strong>Daily Integration in Advanced Workflows</strong></p><p>The Sphera simulation platform has become an indispensable tool in daily engineering workflows. Its exceptional image quality and dynamic fidelity provide unparalleled input for image-processing algorithms, ensuring high accuracy in system evaluation. Unlike conventional platforms, Sphera’s seamless integration with widely used development tools, such as Visual Studio (VS), enables engineers of all experience levels to adopt it with ease. Furthermore, Robotican’s dedicated technical support enhances the platform’s reliability, ensuring uninterrupted operations in demanding applications.</p><p><strong>Adaptability for Specialized Requirements</strong></p><p>Sphera’s flexibility is another key factor that distinguishes it from competing platforms. When unique operational needs arise, such as those encountered by DroneLander, the Sphera framework can be tailored to meet specific requirements. Robotican’s responsive and professional support ensures that the platform evolves alongside user innovations. This adaptability underscores Sphera’s commitment to serving as a versatile and forward-looking tool for diverse engineering challenges.<br><br><br><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1734329359319-%D7%9B%D7%9C%D7%91+%D7%A1%D7%A4%D7%A8%D7%94+-+frame+at+0m14s.jpg" style="width: 100%px;" class="fr-fic fr-dib"><br><br></p><p><strong>Advanced Environmental Modeling for Complex Scenarios</strong></p><p>One of Sphera’s most critical strengths lies in its ability to simulate complex environmental conditions with exceptional accuracy. By incorporating dynamic factors such as sea motion, wind effects, and lighting variability, the platform enables thorough testing of image-processing and navigation algorithms under highly realistic scenarios. This capability is particularly valuable for missions involving drone landings on maritime platforms, where environmental unpredictability poses significant challenges. Compared to other simulation tools, Sphera’s comprehensive environmental modeling provides an unmatched level of realism, reducing the likelihood of costly errors during physical testing.</p><p>Moreover, Sphera’s continuous availability ensures that it remains an integral component of daily development workflows. Whether used for minute-by-minute testing or long-term project evaluations, the platform delivers consistent performance, enabling engineers to refine their designs without disruption.</p><p><strong>Conclusion</strong></p><p>The Sphera Simulation is a transformative tool that sets a new standard for drone and robotics development. By offering a fully customizable and photorealistic environment for testing, it empowers organizations to innovate with unprecedented efficiency and confidence. In comparison to other systems, Sphera’s advanced modeling capabilities, adaptability, and robust support infrastructure firmly establish it as the supreme solution for addressing the complexities of modern engineering challenges. For any organization seeking to push the boundaries of technology, Sphera is not merely a tool but a catalyst for innovation.</p>

Revolutionizing Testing, Modeling, and Optimization in Complex Engineering Environments

The Sphera Simulation: A Supreme Tool in Drone and Robotics Development

<p dir="ltr" id="isPasted">If someone advises you to “know your limits,” they’re likely suggesting you do things like exercise in moderation. To a robot, though, the motto represents learning constraints, or limitations of a specific task within the machine’s environment, to do chores safely and correctly.</p><p dir="ltr">For instance, imagine asking a robot to clean your kitchen when it doesn’t understand the physics of its surroundings. How can the machine generate a practical multistep plan to ensure the room is spotless? Large language models (LLMs) can get them close, but if the model is only trained on text, it’s likely to miss out on key specifics about the robot’s physical constraints, like how far it can reach or whether there are nearby obstacles to avoid. Stick to LLMs alone, and you’re likely to end up cleaning pasta stains out of your floorboards.</p><p dir="ltr">To guide robots in executing these open-ended tasks, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) used vision models to see what’s near the machine and model its constraints. The team’s strategy involves an LLM sketching up a plan that’s checked in a simulator to ensure it’s safe and realistic. If that sequence of actions is infeasible, the language model will generate a new plan, until it arrives at one that the robot can execute.</p><p dir="ltr">This trial-and-error method, which the researchers call “Planning for Robots via Code for Continuous Constraint Satisfaction” (PRoC3S), tests long-horizon plans to ensure they satisfy all constraints, and enables a robot to perform such diverse tasks as writing individual letters, drawing a star, and sorting and placing blocks in different positions. In the future, PRoC3S could help robots complete more intricate chores in dynamic environments like houses, where they may be prompted to do a general chore composed of many steps (like “make me breakfast”).</p><p dir="ltr">“LLMs and classical robotics systems like task and motion planners can’t execute these kinds of tasks on their own, but together, their synergy makes open-ended problem-solving possible,” says PhD student Nishanth Kumar SM ’24, co-lead author of a new paper about PRoC3S. “We’re creating a simulation on-the-fly of what’s around the robot and trying out many possible action plans. Vision models help us create a very realistic digital world that enables the robot to reason about feasible actions for each step of a long-horizon plan.”</p><p dir="ltr">The team’s work was presented this past month in a paper shown at the Conference on Robot Learning (CoRL) in Munich, Germany.</p><p dir="ltr"><span contenteditable="false" draggable="true" class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable"><iframe width="640" height="360" src="https://www.youtube.com/embed/hBq0EeFSsPo?&amp;wmode=opaque&amp;rel=0&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe></span><em>Teaching a robot its limits for open-ended chores. MIT CSAIL</em></p><p dir="ltr" id="isPasted">The researchers’ method uses an LLM pre-trained on text from across the internet. Before asking PRoC3S to do a task, the team provided their language model with a sample task (like drawing a square) that’s related to the target one (drawing a star). The sample task includes a description of the activity, a long-horizon plan, and relevant details about the robot’s environment.</p><p dir="ltr">But how did these plans fare in practice? In simulations, PRoC3S successfully drew stars and letters eight out of 10 times each. It also could stack digital blocks in pyramids and lines, and place items with accuracy, like fruits on a plate. Across each of these digital demos, the CSAIL method completed the requested task more consistently than comparable approaches like <a href="https://arxiv.org/pdf/2403.11552">“LLM3”</a> and&nbsp;<a href="https://arxiv.org/pdf/2209.07753">“Code as Policies”</a>.<br><br>The CSAIL engineers next brought their approach to the real world. Their method developed and executed plans on a robotic arm, teaching it to put blocks in straight lines. PRoC3S also enabled the machine to place blue and red blocks into matching bowls and move all objects near the center of a table.</p><p dir="ltr">Kumar and co-lead author Aidan Curtis SM ’23, who’s also a PhD student working in CSAIL, say these findings indicate how an LLM can develop safer plans that humans can trust to work in practice. The researchers envision a home robot that can be given a more general request (like “bring me some chips”) and reliably figure out the specific steps needed to execute it. PRoC3S could help a robot test out plans in an identical digital environment to find a working course of action — and more importantly, bring you a tasty snack.</p><p dir="ltr">For future work, the researchers aim to improve results using a more advanced physics simulator and to expand to more elaborate longer-horizon tasks via more scalable data-search techniques. Moreover, they plan to apply PRoC3S to mobile robots such as a quadruped for tasks that include walking and scanning surroundings.</p><p dir="ltr">“Using foundation models like ChatGPT to control robot actions can lead to unsafe or incorrect behaviors due to hallucinations,” says The AI Institute researcher Eric Rosen, who isn’t involved in the research. “PRoC3S tackles this issue by leveraging foundation models for high-level task guidance, while employing AI techniques that explicitly reason about the world to ensure verifiably safe and correct actions. This combination of planning-based and data-driven approaches may be key to developing robots capable of understanding and reliably performing a broader range of tasks than currently possible.”</p><p dir="ltr">Kumar and Curtis’ co-authors are also CSAIL affiliates: MIT undergraduate researcher Jing Cao and MIT Department of Electrical Engineering and Computer Science professors Leslie Pack Kaelbling and Tomás Lozano-Pérez. Their work was supported, in part, by the National Science Foundation, the Air Force Office of Scientific Research, the Office of Naval Research, the Army Research Office, MIT Quest for Intelligence, and The AI Institute.</p>

PhD students Aidan Curtis (left) and Nishanth Kumar. To help robots execute open-ended tasks safely, the researchers used vision models to see what’s near the machine and model its constraints. Their “PRoC3S” strategy has an LLM sketch up an action plan that’s checked in a simulator to ensure it will work in the real world. Credits: Mike Grimmett/MIT CSAIL

The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests.

Teaching a robot its limits, to complete open-ended tasks safely

<p dir="ltr" id="isPasted">Even the smallest design flaw or mold imperfection can lead to big quality issues in injection molding—warping, sink marks, or weak structural integrity. High-quality parts require more than just a well-thought-out design; they demand a proactive approach to ensure manufacturability. This is where Mold Flow Analysis (MFA) steps in, providing critical insights to refine designs, reduce defects, and pave the way for efficient production.</p><h2 dir="ltr">What Is Mold Flow Analysis?</h2><p dir="ltr">Mold Flow Analysis is a simulation technique that predicts the flow of molten material within a mold cavity during injection molding. Using advanced software tools, it evaluates critical parameters such as flow patterns, cooling efficiency, pressure distribution, and potential defects like warping or sink marks. This process helps engineers optimize designs and material selection, significantly reducing the need for physical prototypes and minimizing risks during production.</p><h2 dir="ltr">When Should Mold Flow Analysis Be Used?</h2><p dir="ltr">For projects requiring precision or complex geometries, Mold Flow Analysis is highly recommended. It provides crucial insights to ensure the design is manufacturable, minimizes defects, and helps save time and costs in the long run. By identifying potential issues early, it reduces trial-and-error cycles, ensuring smoother production and better-quality parts.</p><h2 dir="ltr">How Mold Flow Analysis Supports Design for Manufacturability (DFM)</h2><p dir="ltr">Mold Flow Analysis plays a pivotal role in optimizing the design and manufacturing process by addressing potential challenges early. Here are keyways MFA contributes to&nbsp;Design for Manufacturability (DFM):</p><ul><li dir="ltr"><h3>Refining Gate Placement</h3></li></ul><p dir="ltr">Proper gate placement is critical for ensuring a smooth and consistent material flow within the mold. By simulating different gate positions, MFA identifies the optimal placement to minimize weld lines, air traps, and other flow-related defects. This not only improves part quality but also enhances the structural integrity and appearance of the final product. For example, poor gate placement can lead to uneven filling, which may weaken specific areas of the part or result in visible imperfections.</p><ul><li dir="ltr" style="font-weight: bold;"><p dir="ltr"><strong>Balancing Material Distribution</strong></p></li></ul><p dir="ltr">Mold Flow Analysis evaluates how material fills the mold cavity, identifying regions where uneven distribution might occur. If one section fills faster than another, it can lead to defects like overpacking or underfilling. MFA allows engineers to adjust runner and gate designs to balance the flow, ensuring the material is distributed evenly throughout the cavity. This step is essential for achieving consistent wall thickness, preventing sink marks, and reducing the risk of part failure under stress.</p><ul><li dir="ltr" style="font-weight: bold;"><p dir="ltr"><strong>Improving Cooling Strategies</strong></p></li></ul><p dir="ltr">The cooling phase is one of the most critical stages in injection molding, as uneven cooling can lead to warping or dimensional inaccuracies. MFA simulates cooling patterns, helping engineers design efficient cooling channels that ensure uniform temperature distribution. By reducing cooling-related defects, MFA not only enhances part quality but also shortens the overall cycle time, improving production efficiency and lowering costs.</p><ul><li dir="ltr" style="font-weight: bold;"><p dir="ltr"><strong>Predicting Shrinkage and Warpage</strong></p></li></ul><p dir="ltr">Different materials shrink at different rates during cooling, which can distort the final part dimensions. Mold Flow Analysis predicts these shrinkage patterns and highlights areas where warpage might occur. By accounting for these factors in the design phase, engineers can make necessary adjustments, such as altering the mold dimensions or modifying material choices, to ensure parts meet exact specifications.</p><ul><li dir="ltr" style="font-weight: bold;"><p dir="ltr"><strong>Reducing Cycle Times</strong></p></li></ul><p dir="ltr">By analyzing filling, packing, and cooling phases, MFA provides insights into optimizing the entire molding process. For instance, it can identify opportunities to speed up material flow without causing defects or to streamline cooling times by improving channel designs. These optimizations not only increase production speed but also lower manufacturing costs, making the process more efficient.</p><p dir="ltr">By incorporating Mold Flow Analysis early in the design process, manufacturers can significantly enhance the manufacturability of their parts, ensuring smoother production, higher quality, and fewer delays caused by defects or design inefficiencies. This proactive approach is a key driver of successful injection molding projects.</p><h2 dir="ltr">RPWORLD: Comprehensive Injection Molding Solutions</h2><p dir="ltr">At RPWORLD, we go beyond Mold Flow Analysis to offer a full range of injection molding services tailored to your needs:</p><ul><li dir="ltr"><p dir="ltr"><strong>Lead Times as Fast as 7 Days:&nbsp;</strong>Delivering production-ready parts quickly to accelerate your product to market.</p></li><li dir="ltr"><p dir="ltr"><strong>100+ Material Options:&nbsp;</strong>From engineering-grade plastics to specialized materials such as medical-grade materials, food-grade materials and more, we provide flexibility to meet diverse application requirements.</p></li><li dir="ltr"><p dir="ltr"><strong>In-House Mold Design &amp; Fabrication:&nbsp;</strong>Expertly designed molds to match your project specifications, reducing lead times and improving precision.</p></li><li dir="ltr"><p dir="ltr"><strong>Rigorous Quality Assurance:&nbsp;</strong>Advanced inspection tools combining with stringent quality controls ensure every part meets exact specifications, from first article inspection to final quality checks.</p></li><li dir="ltr"><p dir="ltr"><strong>Extensive Finishing Options:&nbsp;</strong>Choose from surface finishing, painting, texturing, and more to achieve the perfect part appearance and functionality.</p></li></ul><hr><h3 dir="ltr">Ready to Optimize Your Injection Molding Project?</h3><p>With over 20 years of experience, RPWORLD delivers customized manufacturing solutions from prototyping and production, helping you achieve consistent high-quality parts within fastest time, launching products to markets soon.<a href="https://www.rpworld.com/en/get-a-quote/">&nbsp;Contact Us</a> for a free consultation and discover how our advanced injection molding services, including Mold Flow Analysis, can bring your designs to life!</p>

Mold Flow Analysis is a simulation technique that predicts the flow of molten material within a mold cavity during injection molding.

Unlocking Quality in Injection Molding: The Role of Mold Flow Analysis

In this episode, we explore a groundbreaking neurotechnology that boosts memory without the need for invasive surgery potentially helping people all over the world struggling with spatial memory.

Podcast: Non-invasive Memory Booster

<p id="isPasted">This article was discussed in our <a href="https://www.wevolver.com/profile/the.next.byte" rel="noopener noreferrer">Next Byte podcast</a>.&nbsp;</p><p><span contenteditable="false" draggable="true" class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable"><iframe height="200px" width="100%" frameborder="no" scrolling="no" seamless="" src="https://player.simplecast.com/6b08d0cb-2606-44e8-be73-1dd17a7d2839?dark=false" class="fr-draggable" data-gtm-yt-inspected-24="true" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe></span><br></p><p>The full article will continue below.</p><hr><p><br></p><p><span contenteditable="false" draggable="true" class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable"><iframe width="640" height="360" src="https://www.youtube.com/embed/k7oJjazQAe4?&amp;wmode=opaque&amp;rel=0&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-gtm-yt-inspected-24="true" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"><span class="fr-mk" style="display: none;">&nbsp;</span></iframe></span></p><p>As we age, it becomes more difficult to remember where things are—whether it’s recalling where we left the keys or where we parked the car. This spatial memory deteriorates further with the onset of dementia, a condition that someone in the world develops every three seconds, according to Alzheimer’s Disease International.</p><p><span class="fr-img-caption fr-fic fr-dib" style="width: 833px;"><span class="fr-img-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzMxMDI1MjMwNTYyLTI5YzA1YzhlLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 100%px;" class="fr-fic fr-dib"><span class="fr-inner">© Alzheimer’s Disease International</span></span></span></p><blockquote><p id="isPasted">We are addressing a serious concern for those affected by dementia.</p><footer>- Friedhelm Hummel</footer></blockquote><p id="isPasted">Researchers at two EPFL labs have joined forces to give a boost to spatial memory by creating a unique experimental setup that combines non-invasive deep-brain stimulation, virtual reality training, and fMRI imaging—all housed within Campus Biotech in Geneva. Published in Science Advances, the study demonstrates that targeted, painless electric impusles to the hippocampus and adjacent structures, a deep brain region implied in memory and spatial navigation, can improve the brain’s ability to recall locations and navigate more effectively.</p><p>“By finding ways to improve spatial memory without surgery or medication, we are addressing a serious concern for a large and growing population: the elderly, as well as brain trauma patients and those affected by dementia,” says Friedhelm Hummel, head of the <a href="https://www.epfl.ch/labs/hummel-lab/">Hummel Lab</a>.</p><p>The study is the result of a collaboration between the Hummel Lab and Olaf Blanke’s Laboratory of Cognitive Neuroscience (<a href="https://www.epfl.ch/labs/lnco/">LCNO</a>), both at EPFL’s Neuro X institute. By combining Hummel’s expertise in non-invasive brain stimulation with Blanke’s cognitive research of spatial navigation in virtual reality environments, the researchers developed a unique neuro-technological setup.</p><h2><strong>A one-of-a-kind combination of neuro-technologies</strong></h2><p>The experiment begins with researchers placing four harmless electrodes on the heads of healthy individuals to stimulate the hippocampus and adjacent structures. This non-invasive technique, <a href="https://actu.epfl.ch/news/non-invasive-deep-brain-stimulation-enhances-motor/">called transcranial temporal interference electric stimulation</a> (tTIS), sends targeted pulses without causing any discomfort for the participant.</p><blockquote><p>This leads us to believe that by stimulating the hippocampus, we temporarily increased brain plasticity.</p><footer>Elena Beanato</footer></blockquote><p>Next, volunteers are immersed in a virtual world using VR goggles. <a href="https://infoscience.epfl.ch/server/api/core/bitstreams/3f433490-92a4-461e-be04-fc02dea934b0/content">Building on previous research</a> by co-first-author Hyuk-June Moon, the scientists task the participants with navigating through a series of locations and remembering key landmarks. This immersive virtual setting allows researchers to precisely measure how well participants can recall and navigate spatial information whilst receiving tTIS.</p><p><span class="fr-img-caption fr-fic fr-dib" style="width: 833px;"><span class="fr-img-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzMxMDI1Mjc2NjI5LTkyYmZiNzhiLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 100%px;" class="fr-fic fr-dib"><span class="fr-inner">Full experimental setup at Campus Biotech, combining non-invasive brain stimulation, virtual reality and fMRI. © 2024 EPFL</span></span></span></p><p id="isPasted">“When stimulation was applied, we observed a clear improvement of the participants’ recall time—the time it took to start moving toward where they remembered the object to be,” says Elena Beanato, the other first author of the study. “This leads us to believe that by stimulating the hippocampus, we temporarily increased brain plasticity, which, when combined with training in a virtual environment, leads to better spatial navigation.”</p><p>The entire experiment was conducted within an fMRI scanner. This provided researchers with real-time images of brain activity, allowing them to monitor how the hippocampus and surrounding regions responded to tTIS during the spatial navigation tasks. The fMRI data revealed changes in neural activity associated with the observed behavioral changes, specifically in the regions responsible for memory and navigation, giving the researchers deeper insight into how non-invasive stimulation modulates brain function.</p><p>This integration of advanced technologies at EPFL's Neuro X Institute, makes Campus Biotech one of the few places where all three experimental techniques can be combined in a single study.</p><blockquote><p>“In the long term, we envision using this approach to develop targeted therapies for patients suffering from cognitive impairments.</p><footer>- Olaf Blanke</footer></blockquote><p>“The alliance of tTIS, virtual reality, and fMRI offers a highly controlled and innovative approach to studying the brain’s response to stimulation and its impact on cognitive functions,” adds Olaf Blanke. “In the long term, we envision using this approach to develop targeted therapies for patients suffering from cognitive impairments, offering a non-invasive way to enhance memory and spatial abilities.”</p><hr><p><strong id="isPasted">References</strong></p><p>Beanato, E., Moon, H.-J., Windel, F., Vassiliadis, P., Wessel, M. J., Popa, T., Menoud, P., Neufeld, E., De Falco, E., Gauthier, B., Steiner, M., Blanke, O., &amp; Hummel, F. C. (2024). Noninvasive modulation of the hippocampal-entorhinal complex during spatial navigation in humans. Science Advances. DOI: <a href="https://doi.org/10.1126/sciadv.ado4103" target="_blank" rel="noopener">10.1126/sciadv.ado4103</a></p>

EPFL researchers have combined virtual reality, non-invasive brain stimulation and advanced brain imaging techniques to improve spatial navigation in healthy participants. The study is a first step in addressing dementia in an aging population without medication or surgery.

Neurotechnology boosts memory without surgery

<p data-block-key="7idkv" id="isPasted"><strong>For humans throughout history, the sky has evoked thoughts of a vast emptiness, of a great vacant dome punctuated during the day by the sun, and at night by numerous tiny spots of light (and, periodically, by the moon). As we have ventured into space, both physically, with spacecraft, and optically, with a range of telescopic technologies, we now know that there is quite a lot of stuff up there.</strong></p><p data-block-key="7idkv"><span contenteditable="false" draggable="true" class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable"><iframe width="640" height="360" src="https://www.youtube.com/embed/MPXj6pBBrD0?&amp;wmode=opaque&amp;rel=0&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe></span><em>Simulations at Caltech model a new way for autonomous spacecraft to avoid collisions. This technology holds promise for autonomous vehicles on Earth as well as in space. Credit: James Ragan</em></p><p data-block-key="9l7gu">This discovery has profound implications for the aerospace industry. Imagine, for example, a multibillion-dollar autonomous spacecraft that has been carefully designed and engineered for years is launched into space with precision calculations only to lose one of its thrusters and go sailing into an asteroid.</p><p data-block-key="8vsjq">Historically, engineers have dealt with the possibility of equipment failure on board spacecraft in two main ways: First, by having a "safe mode" in which the spacecraft can do the least amount of damage to itself while scientists on the ground look at the data, make a diagnosis, and develop a solution; and second, by equipping autonomous vehicles with redundant systems. These allow a spacecraft to, for example, shut off a malfunctioning thruster and start using backup thrusters.</p><p data-block-key="928uf">However, dangerous situations may crop up in space with little warning and insufficient time for space-to-ground communications. And though redundant systems have been quite effective, they add to the expense and heft of autonomous spacecraft.</p><p data-block-key="29vpk">This is why experiments are being conducted in the laboratory of Soon-Jo Chung, Bren Professor of Control and Dynamical Systems and senior research scientist at JPL, which Caltech manages for NASA, to streamline emergency features on autonomous vehicles such that they can diagnose and safely respond to encounters with other objects in real time. With new algorithms on board, spacecraft can test their own equipment and predict which future actions are most likely to keep them operating safely.</p><p data-block-key="boege">As one of the supervisors for this project, Fred Hadaegh, research professor in aerospace at Caltech and former JPL chief technologist, explains: "Having redundant systems is not always practical. It means the spacecraft has to be bigger, heavier, and more expensive than it would be otherwise. So, the idea here is that when a spacecraft encounters a problem, it can figure out what's not working and correct or adapt to that specific fault."</p><p data-block-key="8l4es">Chung's lab houses, among other things, an advanced multispacecraft dynamics simulator facility. "The simulator occupies a large room with a really flat floor," explains James Ragan, a PhD student in the Graduate Aerospace Laboratories of the California Institute of Technology (GALCIT) and lead author of this paper. "The model spacecraft uses air bearings so that it moves across the floor with near zero friction. At rest, it seems to be floating, and if you push it in one direction, it will keep going until it hits something, which is what space dynamics are like."</p><p data-block-key="967n7">Ragan has programmed the robotic spacecraft simulator with what he and his co-authors call s-FEAST: Safe Fault Estimation via Active Sensing Tree Search. "Our s-FEAST algorithm rapidly 'dreams' about numerous possible futures that could result from actions it takes now," Ragan says. "Because the system is noisy, these futures are uncertain. There are multiple possible outcomes, which leads to a tree of possible branching futures. Each branch represents one possible way the future might happen, based on things the spacecraft controls—the test actions it selects—and also things it doesn't, such as observations coming from faulty sensors."</p><p data-block-key="3kuec">Chung adds: "What is innovative about our s-FEAST method is that we systematically solve the chicken and egg problem of estimating vehicle states, such as positions and velocities, and inferring failures or degradations, which are intrinsically coupled to one another."</p><p data-block-key="6255v">When the spacecraft detects unexpected data, it turns to the s-FEAST algorithm, which runs test actions "similar to how you might carefully test your muscles when you feel an unexpected pain, and you want to figure out just what hurts and how to avoid actions that might further injure you," Ragan explains.</p><p data-block-key="5f1hc">s-FEAST simultaneously spins out a range of possible futures and from those selects the course of action that appears most likely to diagnose what went wrong and also to avoid danger. In the case of this model, danger amounts to a collision course with an asteroid.</p><p data-block-key="5f1hc"><span contenteditable="false" draggable="true" class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable"><iframe width="640" height="360" src="https://www.youtube.com/embed/aJ04dlgaP0o?&amp;wmode=opaque&amp;rel=0&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe></span></p><p data-block-key="c42k3" id="isPasted">"The key idea here is that s-FEAST isn't replacing all spacecraft operations. It's your emergency response," Ragan says. "The spacecraft receives an internal signal that something is wrong, so s-FEAST takes over all the spacecraft's computing power to quickly assess what's going on and take remedial action. Once the danger is pinpointed and addressed, s-FEAST hands control back to the spacecraft's ordinary computing environment."</p><p data-block-key="21bts">s-FEAST can also be used proactively. Say an autonomous spacecraft is about to take on a particularly risky or mission-critical action; s-FEAST can run a testing cycle to ensure that all systems are working properly before this action.</p><p data-block-key="i938">Chung and his co-authors envision that the proposed method will establish a new way of making expensive space exploration safer and more cost effective. "Space systems make autonomous operations necessary since we cannot grab and fix spacecraft and Mars helicopters operating in a world far away from us," Chung says. "Space is our ultimate ‘proving ground' for any autonomy research we do for Earth-based vehicle systems."</p><p data-block-key="2h1jc">Not surprisingly, the s-FEAST algorithm that worked on the spacecraft simulator was adapted by the team to work on a ground track vehicle as well. Both experiments were successful, so s-FEAST technology holds great promise for autonomous vehicles on Earth as well as in space.</p><p data-block-key="9nhap">"<a href="https://www.science.org/doi/10.1126/scirobotics.adn4722" target="_blank">Online Tree-based Planning for Active Spacecraft Fault Estimation and Collision Avoidance</a>" is published in&nbsp;<em>Science Robotics</em> as an online feature article. A preliminary version of this paper received the&nbsp;<a href="https://www.eas.caltech.edu/news/jimmy-ragan-and-benjamin-rivi%C3%A8re-receive-2023-aiaa-guidance-navigation-and-control-best-graduate-student-paper-award" target="_blank">2023 American Institute of Aeronautics and Astronautics (AIAA) Guidance, Navigation, and Control Best Graduate Student Paper Award</a>. Co-authors are Ragan, Caltech postdoc Benjamin Rivière (PhD '24), Hadaegh, and Chung. This work is funded by the Aerospace Corporation, JPL, the Defense Advanced Research Projects Agency Learning Introspective Control program, and the Technology Innovation Institute.</p>

Simulations at Caltech model a new way for autonomous spacecraft to avoid collisions. This technology holds promise for autonomous vehicles on Earth as well as in space.

A New Approach to Autonomous Vehicle Safety

<p id="isPasted">A view into how nanoscale building blocks can rearrange into different organized structures on command is now possible with an approach that combines an electron microscope, a small sample holder with microscopic channels, and computer simulations, according to a new study by researchers at the University of Michigan and Indiana University.</p><p>The approach could eventually enable smart materials and coatings that can switch between different optical, mechanical and electronic properties.</p><p>“One of my favorite examples of this phenomenon in nature is in chameleons,” said <a href="https://che.engin.umich.edu/people/dwyer-tobias/" target="_blank" rel="noreferrer noopener">Tobias Dwyer</a>, U-M doctoral student in chemical engineering and co-first author of the study published in Nature Chemical Engineering. “Chameleons change color by altering the spacing between nanocrystals in their skin. The dream is to design a dynamic and multifunctional system that can be as good as some of the examples that we see in biology.”</p><p>The imaging technique lets researchers watch how nanoparticles react to changes in their environment in real time, offering an unprecedented window into their assembly behavior.</p><p><span class="fr-img-caption fr-fic fr-dib" style="width: 832px;"><span class="fr-img-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzI1MzIxMzE4NjkzLWZsb3ctY2VsbC5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 100%px;" class="fr-fic fr-dib"><span class="fr-inner">An illustration of an imaging technique that allows researchers to watch how nanoparticles respond to changes in their environment in real time. The blue lines represent the beam of an electron microscope as it impacts gold nanoblocks suspended in liquid in a small sample holder device called a liquid flow cell. Image credit: Ella Maru Studio.</span></span></span></p><p id="isPasted">In the study, the Indiana team first suspended nanoparticles, a class of materials smaller than the average bacteria cell, in tiny channels of liquid on a microfluidic flow cell. This type of device allowed the researchers to flush different kinds of fluid into the cell on the fly while they viewed the mixture under their electron microscope. The researchers learned that the instrument gave the nanoparticles—which normally are attracted to each other—just enough electrostatic repulsion to push them apart and allow them to assemble into ordered arrangements.</p><p>The nanoparticles, which are cubes made of gold, either perfectly aligned their faces in a tidy cluster or formed a more messy arrangement. The final arrangement of the material depended on the properties of the liquid the blocks were suspended in, and flushing new liquids into the flow cell caused the nanoblocks to switch between the two arrangements.</p><p>The experiment was a proof of concept for how to steer nanoparticles into desired structures. Nanoparticles are too small to manually manipulate, but the approach could help engineers learn to reconfigure other nanoparticles by changing their environment.</p><p>“You might have been able to move the particles into new liquids before, but you wouldn’t have been able to watch how they respond to their new environment in real-time,” said <a href="https://www.chem.indiana.edu/faculty/xingchen-ye/" target="_blank">Xingchen Ye</a>, IU associate professor of chemistry who developed the experimental technique and is the study’s lead corresponding author.</p><p>“We can use this tool to image many types of nanoscale objects, like chains of molecules, viruses, lipids and composite particles. Pharmaceutical companies could use this technique to learn how viruses interact with cells in different conditions, which could impact drug development.”</p><p><span class="fr-img-caption fr-fic fr-dib" style="width: 832px;"><span class="fr-img-wrap"><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1725321753505-ezgif-6-b9c5db5d11.gif" style="width: 100%px;" class="fr-fic fr-dib"><span class="fr-inner">A view through an electron microscope of gold nanoparticles reconfiguring themselves in response to researchers changing the liquid the gold nanoparticles are suspended in—either butanol or a mix of octane and butanol. The black and white image on the left is unedited. At right, the gold nanoparticles are color-coded by their orientation. Initially floating in butanol, they’re arranged in a skewed crystal with more unfilled space in its center. Green and orange particles are mixed with blue particles. After researchers change the liquid to a mixture of butanol and octane, the squares’ faces align more closely together and more of the squares in the center of the crystal turn blue and green, representing a more ordered arrangement. Animation credit: Tobias Dwyer, Glotzer Lab, University of Michigan.</span></span></span></p><p id="isPasted">An electron microscope isn’t necessary to activate the particles in practical morphable materials, the researchers said. Changes in light and pH could also serve that purpose.</p><p>But to extend the technique to different kinds of nanoparticles, the researchers will need to know how to change their liquids and microscope settings to arrange the particles. Computer simulations run by the U-M team open the door to that future work by identifying the forces that caused the particles to interact and assemble.</p><p>“We think we now have a good enough understanding of all the physics at play to predict what would happen if we use particles of a different shape or material,” said&nbsp;<a href="https://che.engin.umich.edu/people/moore-timothy/" target="_blank" rel="noreferrer noopener">Tim Moore</a>, U-M assistant research scientist of chemical engineering and co-first author of the study. He designed the computer simulations together with Dwyer and&nbsp;<a href="https://che.engin.umich.edu/people/glotzer-sharon/" target="_blank" rel="noreferrer noopener">Sharon Glotzer</a>, the Anthony C. Lembke Department Chair of Chemical Engineering at U-M and a corresponding author of the study.</p><p>“The combination of experiments and simulations is exciting because we now have a platform to design, predict, make and observe in real time new, morphable materials together with our IU partners,” said Glotzer, who is also the John Werner Cahn Distinguished University Professor and Stuart W. Churchill Collegiate Professor of Chemical Engineering.</p>

It’s a step toward smart coatings that change color—or other properties—on the fly.

Morphable materials: Researchers coax nanoparticles to reconfigure themselves

<p id="isPasted">The German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) has made significant progress in developing turbines for efficient and climate-compatible aircraft engines in collaboration with Rolls-Royce Deutschland. Researchers have deployed a trick carried over from many modern aircraft wings: attaching 'winglets' to the tips of the turbine blades to increase engine efficiency. Winglets and other technologies are already being used in the latest Rolls-Royce engines from the Pearl range and have significantly reduced fuel consumption.</p><p>Researchers at the <a href="https://www.dlr.de/en/at" target="_blank">DLR Institute of Propulsion Technology</a> in <a href="https://www.dlr.de/en/dlr/locations-and-offices/goettingen" target="_blank">Göttingen</a> worked with Rolls-Royce Deutschland to investigate a new type of two-stage high-pressure turbine. At the Göttingen institute's <a href="https://www.dlr.de/en/at/research-transfer/research-infrastructure/turbine-test-beds/next-generation-turbine" target="_blank">Next-Generation Turbine Test Facility (NG-Turb)</a>, which offers infrastructure unrivalled in Europe, the researchers were able to validate turbine computer simulations from Rolls-Royce. In a turbojet engine, the turbine is positioned after the combustion chamber, from where the emerging exhaust gas jet causes the turbine blades to rotate. The NG-Turb test bed replicates this set up, putting turbines through their paces under real-world engine conditions.</p><p><span class="fr-img-caption fr-fic fr-dib" style="width: 790px;"><span class="fr-img-wrap"><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1722783344279-image-400-a2810991432fbb2b39ff2a064e2c6158.png" style="width: 100%px;" class="fr-fic fr-dib"><span class="fr-inner">Turbine blades with winglets Detail of the turbine blades with new winglets at the tips. Credit: DLR (CC BY-NC-ND 3.0)</span></span></span></p><h2>Turbine inlet temperature crucial</h2><p>The initial measurements on the NG-Turb test stand, conducted as part of the German government's aviation research programme (the LuFo HittTurb project), initially focused on the efficiency of the turbine. As the operating point of turbines varies during take-off, cruising flight and landing, determining the relationship between efficiency and the speed and pressure ratio of the turbine was crucial. "This turbine serves as a demonstrator for various technologies that are to be used in the real engine, including winglets on the rotor blades," says Andreas Pahs, Project Manager of the DLR Institute of Propulsion Technology's Göttingen site. Applying winglets to the blade tips significantly changes the geometry of the blade and hence the flow around it, giving rise to improvements in both turbine and overall engine efficiency.</p><p>"We have also carried out detailed flow field measurements," Pahs continues. "We analysed pressure, temperature, flow angle and Mach number using sensors developed in-house here at the institute." The findings were incorporated into the development of Rolls-Royce's Pearl engine range, which powers ultra-long-haul business jets.</p><h2>Current focus on combustion chamber–turbine interaction</h2><p>In addition to the new turbine design, the researchers were interested in the influence of the combustion chamber outlet flow on aerodynamics, efficiency and temperature. Given the extreme operating temperatures that turbine materials are subject to, a crucial development task is to identify hot spots early on and target them for cooling by applying cooling air to the turbine blade surface.</p><p>In the follow-up project, which was recently completed as part of the EU research programme Clean Sky 2 (an EU Transition project), the scientific research focused on the interaction between the combustion chamber and the turbine. For this purpose, a combustion chamber simulator was developed and installed in front of the turbine on the NG-Turb test stand. The simulator generates flow fields with properties comparable to those from the combustion of conventional fuels and which correspond to the exit profile of a real Rolls-Royce engine combustion chamber.</p><p>A better understanding of the temperature distribution at the transition from the combustion chamber to the turbine is key to generating new technology concepts. "Our task is to precisely measure the thermal load within the turbine in order to make the cooling of the turbine blades more efficient," explains DLR Institute of Propulsion Technology project manager Anna-Samira Söhngen. Using targeted, optimised cooling saves on cooling air and further improves overall engine efficiency.</p><p><span class="fr-img-caption fr-fic fr-dib" style="width: 790px;"><span class="fr-img-wrap"><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1722783390887-image-1600-4c05b05d70b4ca8c3a7d5dcd897a4297.jpeg" style="width: 790px;" class="fr-fic fr-dib"><span class="fr-inner">Test facility for future turbines Investigations are conducted at the NG-Turb test facility to research more efficient and climate-compatible turbines for future aircraft and power stations. Credit: DLR (CC BY-NC-ND 3.0)</span></span></span></p><h2>Europe's only hydrogen-ready turbine test bench</h2><p>The NG-Turb test stand works in a closed circuit with dry air as the flow medium. The stand includes air temperature and pressure regulation, allowing the researchers to set the key parameters of Mach and Reynolds number independently. The system also has an air dryer and a separate air-cooling compressor that diverts flow from the system and supplies it to the turbine for cooling air simulation. The test stand also now includes heat exchangers to lower the temperature of the cooling air and thus allow another parameter, the main-flow to cooling-air temperature ratio, to be set as realistically as possible.</p><p>DLR receives financial support from the German Federal Ministry for Economic Affairs and Climate Action (BMWK) to prepare its ground test rigs, including the NG-Turb in Göttingen, for the investigation of climate-compatible fuel and propulsion technologies in aviation (the UpLift project). The focus of the project is on the potential use of hydrogen in engines, the impact of which is also set to be the subject of future investigations in turbine research. The funding is part of the BMWK aviation research programme LuFo Klima, the central government funding instrument supporting the aviation industry on its path to becoming carbon neutral.</p><h2>Other projects</h2><p>Another research focus is currently 'hot streak tracking', where researchers measure temperature streaks and their flow through the turbine.</p><hr><h2>Related links</h2><ul><li><a href="https://www.rolls-royce.com/country-sites/northamerica.aspx" target="_blank" rel="noopener noreferrer">Rolls-Royce website</a></li><li><a href="https://www.rolls-royce.com/products-and-services/civil-aerospace/business-aviation/pearl-10x.aspx" target="_blank" rel="noopener noreferrer">The newest member of the Rolls-Royce Pearl engine family</a></li></ul>

The DLR turbine test facility 'NG-Turb' Future high-performance turbines are being investigated at the Next-Generation Turbine Test Facility (NG-Turb) at the DLR Institute of Propulsion Technology in Göttingen. Credit: DLR (CC BY-NC-ND 3.0)

DLR and Rolls-Royce Deutschland are developing more climate-compatible aircraft engines.

DLR and Rolls-Royce Deutschland develop more climate-compatible aircraft engines

<section id="isPasted"><p>Staying up-to-date with the latest electronics engineering trends, design insights, and project innovations is crucial for engineers and serious hobbyists alike. That's where the "Circuit Break" podcast steps in as your indispensable resource.</p><p>Hosted by Parker Dillmann and Stephen Kraig, seasoned electrical engineers in manufacturing and electronic design, Circuit Break explores all aspects of electrical engineering, from groundbreaking technologies to practical design tips. Whether you're troubleshooting your latest project or exploring new horizons in your career, each episode will ignite your curiosity and enhance your expertise.<br>As a welcome to our community of listeners, we've curated a top 10 list of our podcast episodes. Every selection here represents our mission: to educate, inspire, and entertain electrical engineers at every stage of their journey.<br>Enjoy these handpicked episodes designed to spark your imagination and fuel your passion for electronics. They are not in any particular order, so enjoy them however you like.</p><h2><p>Bill Herd - Back Into the Storm</p></h2><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1720015431285-1720015431284.png" alt="1dimfkjg" class="fr-fic fr-dii"><p>Bil Herd, one of the early engineers of Home Computers, takes part in a podcast episode entitled&nbsp;<a href="https://www.macrofab.com/podcasts/bil-herd-back-into-the-storm/" target="_blank">Back Into the Storm</a>. The conversation takes an intriguing turn toward the intricacies of Design for Manufacturability (DFM) and the assembly process, drawing from Bil Herd's rich history of designing the Commodore C128 during the era of through-hole components.<br>The episode investigates the transformative impact of the advent of Surface Mount Technology (SMT) on electronic design, comparing and contrasting it with the traditional through-hole method that dominated earlier periods. Bil Herd shares his insights on why through-hole components are still relevant today, alongside common pitfalls that modern engineers and designers face when opting for through-hole technology in contemporary projects.</p><p>A fascinating discussion emerges around the necessity of "green wire" fixes—quick, manual modifications made to circuit boards during the development phase—and their prevalence in the production of past and present electronic devices.<br>This episode of Circuit Break not only enlightens listeners with historical perspectives but also equips them with practical knowledge on navigating the challenges of DFM and assembly in today's fast-evolving technological landscape. It’s a must-listen for anyone interested in the art and science behind creating durable, efficient, and manufacturable electronic designs.</p><h2><p>CHIPS Can't Dip</p></h2><p>In an enlightening episode, David Schild, Executive Director of the Printed Circuit Board Association of America (PCBAA), shares his expertise on the crucial role of public policy in supporting the U.S. microelectronics industry.</p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1720015431966-1720015431966.png" alt="2mgiughrjkfd" class="fr-fic fr-dii"><p>With over 20 years of experience in political involvement and advocacy, Schild discusses the significance of the CHIPS Act and the PCBS Act in addressing challenges like globalization and the need for reshoring manufacturing to ensure a resilient supply chain. He emphasizes the CHIPS Act's strategic importance, with its $52 billion funding aimed at revitalizing American manufacturing and the necessity of aligning private investment with public initiatives to foster innovation and production within the country. The conversation underscores the imperative of making PCB production a national priority, suggesting that while current legislative efforts are commendable, a more comprehensive approach is required to fully leverage America's potential in inventing and manufacturing critical technologies. Listen to <a href="https://www.macrofab.com/podcasts/chips-cant-dip/" target="_blank">CHIPS Can’t Dip now</a>.</p><h2><p>Mislabeled Levels of Hell</p></h2><p>This episode dives into the unique intersection of engineering and summer fun with a discussion on the feasibility of cooking food using a car’s engine, aptly titled “Manifold Destiny: Cooking on a Car Engine.” This episode explores the intriguing idea of turning your car into a BBQ, noting that exhaust pipes can reach temperatures up to 1200°F–hot enough to cook an egg–and looks at how stainless steel changes color when it’s heated, which is important for cooking on the go.</p><p>In addition, Stephen shares a project update on his CNC (computer numerical control) endeavors, providing listeners with useful tips on how to use electrical tape properly, maintain tidy wiring, and the benefits of upgrading to a larger 3D printer for expanded project capabilities.</p><p>Additionally, it humorously addresses a universal frustration that you may not expect: the chaos caused by misplaced hardware and fasteners at stores. Listen to <a href="https://www.macrofab.com/podcasts/mislabeled-levels-of-hell/" target="_blank">Mislabeled Levels of Hell</a> now.</p><h2><p>Product of Many Imaginations</p></h2><p>This episode features MacroFab’s own Misha Govshteyn and Chris Church as they join hosts Parker and Stephen to dissect the complexities of supply chains, digital manufacturing, and the shift toward nearshoring and reshoring. Using their extensive experience, which was highlighted in their previous podcast appearances, they examine the importance of digital manufacturing, its impact on the industry, the success of various business models, and how investments drive innovation and expansion within the industry.</p><p>This discussion extends to the practical considerations and enthusiasm surrounding reshoring, questioning the depth of the industry’s commitment to bringing manufacturing back home.</p><p>The episode also offers a reflective journey through MacroFab’s history, from its inception to its strategic pivots and future aspirations, encapsulated by Chris Church’s “Rules for Start-Up Names.”</p><p>As the conversation unfolds, it reveals the challenges and opportunities that lie ahead for MacroFab, including the move to new headquarters, underscoring the company’s resilience and adaptive strategies as the manufacturing and technology landscape evolves. <a href="https://www.macrofab.com/podcasts/product-of-many-imaginations/" target="_blank">The Product of Many Imaginations</a> episode not only provides a glimpse into the inner workings of MacroFab but also ignites a dialogue on manufacturing in the 21st century.</p><h2><p>IdeaFab - Does This Podcast Change The World?</p></h2><p>This is the 3rd collaboration between the Ideatank podcast and Circuit Break podcast where Scott Hansen and Eric Benzenhoefer are idea men who, not humbly, seek to change the world through sharing their million-dollar ideas, but humbly, seek to make podcast episodes talking about their ideas.</p><p>The <a href="https://www.macrofab.com/podcasts/ideafab-does-this-podcast-change-the-world/" target="_blank">Does This Podcast Change</a> the World episode covers a variety of innovative proposals, from Eric’s vision of perfect feedback rating systems to Scott’s bold ambition of sending people into space, demonstrating that there are a wide range of ideas out there, from practical to futuristic.</p><p>Stephen also introduces “The College of Above Average Joes,” aiming to redefine education, while Parker presents “The Otter-Matic 2000” and “Friendcoin,” blending technology with social connectivity. Each idea, unique in its own right, sparks discussions about feasibility, impact, and change potential.</p><h2><p>Rogue Gerbers – Jerry McDaniel of Customer Care at MacroFab</p></h2><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1720015432074-1720015432074.png" alt="Jerry mcdaniel headshot" class="fr-fic fr-dii"><p>In this episode, we spotlight Jerry McDaniel, a seasoned veteran at MacroFab. As the current Director of Care, Jerry brings a wealth of experience from his previous roles, including a pivotal stint as the CTO/CFO of Litigation Records Services in Texas, where he managed litigation records for attorneys on both sides of the courtroom. Additionally, his extensive background in application support at Presensoft Inc. for nearly 11 years has honed his expertise in handling complex customer service scenarios.</p><p>The <a href="https://www.macrofab.com/podcasts/rogue-gerbers-jerry-mcdaniel-of-customer-care-at-macrofab/" target="_blank">Rogue Gerbers</a> episode follows the philosophy and practices behind customer success at MacroFab. Jerry shares invaluable insights on understanding customer behavior, offering practical advice to engineers on how to anticipate and meet client needs effectively. He emphasizes the importance of empathy, proactive communication, and the ability to adapt to each customer’s unique requirements.</p><p>One of the highlights of the discussion is Jerry’s recounting of the weirdest customer interaction he’s ever experienced, providing a light-hearted glimpse into the unpredictable world of customer service. Through his stories and advice, listeners gain a comprehensive view of what it takes to excel in customer success, especially in the tech and engineering sectors.</p><p>This episode is not just a look into Jerry McDaniel’s impressive career but also a masterclass in cultivating meaningful and successful customer relationships.</p><h2><p>Your Toaster is Toast</p></h2><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1720015432192-1720015432192.png" alt="Toaster toast" class="fr-fic fr-dii"><p>Part shortages and obsolescence got you down? Parker and Stephen have some tips and tricks to help your design stay ahead of the end-of-life (EOL) game.</p><p><a href="https://www.macrofab.com/podcasts/your-toaster-is-toast/" target="_blank">Your Toaster is Toast</a> unpacks how many engineers and product designers now face abrupt end-of-life situations without warning. The discussion reveals how foundries, overwhelmed with demand, are now booked years in advance, prioritizing their most profitable lines and fulfilling long-standing orders. This situation is exacerbated by the fact that new semiconductor fabrication plants are not investing in outdated wafer equipment, choosing instead to produce newer parts</p><h2><p>Hyperspace Part Packages</p></h2><p>Delve into a nuanced debate of whether the electronics industry should shift from the traditional ‘pin one’ marking to a more inclusive ‘indicator mark’ convention for component labeling. This discussion explores the potential benefits and implications of such a change, emphasizing the need for clarity and uniformity in component identification, particularly as it pertains to enhancing the manufacturing process and minimizing errors in assembly.</p><p><a href="https://www.macrofab.com/podcasts/hyperspace-part-packages/" target="_blank">Hyperspace Part Packages</a> covers the importance of component marking from a manufacturer’s perspective, debating the placement of indicator marks both inside and outside the footprint, the utility of including diode symbols directly on the board for clarity, and the use of vias and numbering for precise marking. Parker and Stephen advocate for designers to “own” their designs and the importance of being prepared to support them, highlighting the critical role of detailed and accurate documentation to be successful in electronic product design.</p><h2><p>Datasheet Lore</p></h2><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1720015432239-1720015432239.png" alt="Pick right part" class="fr-fic fr-dii"><p>Find out what’s hidden in component datasheets and how they influence the selection of electrical components for design projects.</p><p><a href="https://www.macrofab.com/podcasts/datasheet-lore/" target="_blank">Datasheet Lore</a> explores risk management and the strategic considerations behind part selection, giving listeners an inside look at the mind of an experienced engineer navigating the vast sea of electronic components. Parker and Stephen share their approaches to picking parts for a design, emphasizing the importance of balancing performance specifications, cost, availability, and compatibility with the broader system architecture.</p><h2><p>Chickens and Tea Leaves, Al’s Simulation Recipe</p></h2><p>Al Williams, a figure synonymous with the Hackaday community, and an expert whose extensive experience ranges from underwater explorations to contributions to the International Space Station, returns for the fourth time on the podcast to discuss the pivotal role circuit simulation plays in engineering. The author of numerous books on technology and electronics, as well as a ham radio operator, Williams shares his insights.</p><p>The conversation kicks off with Williams’ perspective on the value of circuit simulation in both analog and digital circuits, underscoring its significance in validating designs, predicting system behaviors, and identifying potential issues before physical prototypes are developed. The discussion navigates through various simulation software, from the widely used LTSpice to specialized tools like Xyce from Sandia, TINA from Texas Instruments, KiCad’s integrated spice, Microcap 12, EasyEDA, and the educational FALSTAD simulator.</p><p>The episode discusses situations where simulated or logical performance diverges from real-world behavior, emphasizing the need to understand the limitations and assumptions underlying simulation models. Through this discussion, Williams, Stephen, and Parker illuminate the crucial balance between theoretical simulation and empirical testing, offering listeners a comprehensive view of how simulation tools can augment the engineering design process, reduce development time and costs, and foster a deeper understanding of electronic systems. Listen to <a href="https://www.macrofab.com/podcasts/chickens-and-tea-leaves-als-simulation-recipe/" target="_blank">Chickens and Tea Leaves</a> now.</p></section><h4>Want More Podcast Episodes?</h4><p>Each week, Parker and Stephen explore topics in engineering and hardware with guests, DIY electronic devices, and industry news.</p><p><a href="https://www.macrofab.com/podcasts/" target="_blank">LISTEN TO CIRCUIT BREAK NOW</a></p><section><h5><br></h5></section>

Need something new to listen to?  Try these 10 Circuit Break Podcasts. 

For Electronics Engineers: Top 10 Circuit Break Podcast Shows

<table style="width: 100%;"><tbody><tr><td style="width: 100%;"><h2>Accelerating product design with simulation&nbsp;</h2><p dir="ltr">When applied early in the development cycle, simulation (CAE, FEA) technologies can rapidly accelerate the creation of high-performance, profitable products. However, choosing and implementing the right simulation solution effectively can be challenging when you have limited resources.</p><p dir="ltr">If you are considering implementing simulation (CAE, FEA) for the first time or utilize CAD embedded simulation tools but are running into challenges with speed and accuracy or want to take the next step and explore multi-physics analysis, the free virtual event Simulate at the Speed of Design event on &nbsp;May 16, 2024, maybe for you.</p><p dir="ltr">Learn from your peers and Altair’s experts how a mixture of software, support, and know-how can help you be more efficient and effective in developing new products.</p><p dir="ltr"><a href="https://wevlv.co/altair_simulate_2024" target="_blank" rel="noopener noreferrer" class="button-main-action">Register now.</a></p></td></tr></tbody></table><p dir="ltr"><em>This is an excerpt from a presentation by Keshav Sundaresh, Manager, Business Development of Altair. The full presentation, “The TRICK to Digital Twin Technology Adoption” can be attended at the <a href="https://wevlv.co/altair_simulate_2024" target="_blank" rel="noopener noreferrer">Simulate at the Speed of Design</a> event on May 16, 2024.</em></p><p>There is a lot of hype around digital twins. Still, for many years, the ability to actually execute them in a way that contributed to streamlining business through data-backed insights has been limited. Below, Keshav Sundaresh, the Global Director of Product Management – Digital Twin and Digital Thread from Altair, shares his insights into using the TRICK methodology to help separate true digital twin technology from fancy-looking interactive CAD models, which are not digital twins but rather mere digital shadows.&nbsp;</p><h2 dir="ltr">Simulation all around you</h2><p dir="ltr">Look around you. The device you’re reading this on right now is one of many machines, devices, and tools that surround you and support your everyday life – at work and outside. At Altair, we say our technology is always around you – even when you’re not conscious of it – keeping you safe, connected, and empowering you to thrive in today’s fast-paced world.&nbsp;</p><p dir="ltr">But what, exactly, do we mean by that? How is our technology integrated into both consumer goods like smart electronic devices, vehicles, and light fixtures as well as industrial objects like assembly lines, sensors, and wind turbines? The answer is digital twin technology, which has a powerful, wide-ranging impact in business and beyond. What can digital twin capabilities mean for your business?</p><p dir="ltr"><strong>Digital twin capabilities:</strong></p><ol><li dir="ltr"><p dir="ltr">Drive operational efficiency</p></li><li dir="ltr"><p dir="ltr">Facilitate a model-based ecosystem, providing access to authoritative data and knowledge for faster, better decision-making</p></li><li dir="ltr"><p dir="ltr">Drive superior engineering quality and product development performance</p></li><li dir="ltr"><p dir="ltr">Flatten the disruption curve for production</p></li></ol><p dir="ltr">For industrial companies, learning how to use this technology to streamline your production process could be such a changing move for the business. Especially in today’s world where our resources seem to have infinite uses, being able to simulate your production using technologies such as the CAE and FEA technologies are vital. This is where Altair’s Simulate at the Speed of Design event comes in. Coming up on the 16th of May, 2024, this is a must-attend for small and medium organizations looking to reduce the risk and cost of making late design manufacturing changes.</p><h2 dir="ltr">Digital Twin Took Center Stage at CES 2024</h2><p dir="ltr">Altair has been talking about digital twins for years. But it’s not just Altair and myself that believe in digital twins – my recent experience at CES 2024 was more than enough proof of that. At this year’s event, digital twin-related booths, presentations, and demonstrations were ubiquitous. It seemed like every organization – no matter their specialty, industry, or size – was talking about digital twin capabilities and showcasing what they were doing (or planned to do) with the technology.&nbsp;</p><p dir="ltr">Five years ago, a scant few were talking about digital twin technology, let alone creating it. The technology just wasn’t there; people liked the concept of digital twin, but the reality was Frankenstein-ish. Very few companies then had the open architecture-based, flexible, and purpose-driven workflows necessary to implement digital twin capabilities. But now digital twin is firmly in the spotlight.</p><p dir="ltr"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzEzODc0NDQ3NjI3LXRyaWNrIDIuanBnIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 100%px;" class="fr-fic fr-dib"></p><p dir="ltr" id="isPasted">Today, the prevalence of accessible, intuitive data and high-performance computing (HPC) environments – like Altair’s – has changed the digital twin adoption landscape. Now, instead of a hodgepodge of solutions and environments, digital twin is more akin to a living and breathing dynamic system with a single, unbroken thread.</p><p dir="ltr">Digital twin capabilities have also boomed because people (executives in particular) are finally seeing their true business value. They concretely understand that digital twin can transform their business and propel them into a streamlined, digitalized future. It’s safe to say that these organizations wouldn’t be putting the time, effort, and creativity into showcasing digital twin capabilities at events like CES if they weren’t betting big.&nbsp;</p><p dir="ltr">However, there are still plenty of organizations – too many, in my opinion – that don’t understand what digital twin technology is and how they can start harnessing its power. Luckily, there’s a TRICK to digital twin – literally.</p><h2 dir="ltr">Why "TRICK"?</h2><p dir="ltr">“TRICK” is a simple, compelling acronym to serve you on your digital twin journey. TRICK is neither sequential nor mutually exclusive. It’s merely a framework to help separate true digital twin technology from fancy-looking interactive CAD models, which are not digital twins but rather mere digital shadows. Without further ado, let’s explore the TRICK to digital twin technology.&nbsp;</p><p dir="ltr"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzEzODc0NDc1MDEyLXRyaWNrLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 100%px;" class="fr-fic fr-dib"></p><h3 dir="ltr" id="isPasted">T: Think in Systems</h3><p dir="ltr">Digital twin technology is defined – literally and metaphorically – by its function as a system of systems. Digital twin technology is not merely the sum of its parts, a collection of a bunch of components, processes, and systems. Rather, it’s the interaction of all these things acting as one in a holistic environment.&nbsp;</p><p dir="ltr">Think of it this way: Imagine you’re tasked with building the best car in the world. To accomplish this, you can mix and match components and systems from any kind of car in the world. Maybe you want your car to have the body of a Maserati, the propulsion system of a Tesla, the infotainment console of a GMC, the steering of a Mercedes-Benz, the seats of a Lexus, and so on. If you threw all these disparate systems into a single car, do you think you’d have the “ultimate” car? You wouldn’t. Why not? Because these sophisticated mechanisms aren’t like Legos that you can just slot in at will, regardless of the pieces’ context. These are complex systems designed to function on their own and as part of a specific, holistic system – that holistic system being a vehicle model, in this case. This same principle applies to wind turbines, semiconductor capital equipment, aircraft, and so on.&nbsp;</p><p dir="ltr">Digital twin technology enables us to better understand and improve interactions between components and how they function. Everything lives in the spaces where systems interact. Engineers and designers should always be thinking at this level to minimize issues and maximize efficiency.&nbsp;</p><p dir="ltr">Customer evidence: <a href="https://altair.com/resource/getting-the-signal-with-digital-twin-leonardo-deploys-digital-twin-to-capture-in-flight-behavior-of-helicopter-radar?lang=en" target="_blank">“Leonardo Deploys Digital Twin to Capture In-Flight Behavior of Helicopter Radar”&nbsp;</a></p><h3 dir="ltr">R: Reduced-Order Modeling&nbsp;</h3><p dir="ltr">When we want to share insights broadly, we want things to be as simple and actionable as possible. Real-life processes are often incredibly complex and hard to distill into a model or equation. But the beauty of mathematics is that it allows us to abstract, simplify, and standardize real-world knowledge. This is the goal of <a href="https://altair.com/romai" target="_blank">reduced-order modeling</a> (ROM).&nbsp;</p><p dir="ltr">For people to scale their insights and unlock digital twin breakthroughs, they can’t be bogged down in messy, voluminous data. ROM helps reduce the computational complexity of models in physics-based or statistical simulations. Some of our solutions in <a href="https://altair.com/products/platforms/altair-hyperworks" target="_blank">Altair® HyperWorks®</a>, our design and simulation platform – such as <a href="https://altair.com/physicsai" target="_blank">Altair® physicsAI™</a> and <a href="https://altair.com/romai" target="_blank">Altair® romAI™</a> – specialize in ROM within physics-based and test environments. And <a href="https://altair.com/altair-rapidminer" target="_blank">Altair® RapidMiner®</a>, our data analytics and AI platform, offers targeted, powerful capabilities for <a href="https://altair.com/data-transformation" target="_blank">all other kinds of data.</a> But these are just two sides of the same coin.&nbsp;</p><h3 dir="ltr">Importance of Explainable, “White Box” Solutions</h3><p dir="ltr">No matter how you approach ROM, you should always be using explainable, transparent solutions, otherwise known as “white box” solutions. White box solutions allow you to see exactly how AI-based models and algorithms are working, including:</p><ul><li dir="ltr"><p dir="ltr">Metadata sources</p></li><li dir="ltr"><p dir="ltr">What datasets were used</p></li><li dir="ltr"><p dir="ltr">What underlying equations were used</p></li></ul><p dir="ltr">This approach gives you greater insight and makes it clear to everyone throughout development how models are functioning and why. This is compared to “black box” solutions, which offer AI capabilities but are fully hidden from users – unexplainable, in other words.</p><p dir="ltr">Customer evidence: <a href="https://altair.com/resource/leveraging-ai-to-improve-accuracy-in-a-real-time-hardware-application?lang=en" target="_blank">“Leveraging AI to Improve Accuracy in a Real-Time Hardware Application”</a></p><h3 dir="ltr">I: Integrate</h3><p dir="ltr">Digital twin approaches work best when all users – including people without specialized engineering and data skill sets and non-coders – can leverage advanced tools without needing to rely on experts or support teams. This requires formalizing and democratizing computational intelligence.&nbsp;</p><p dir="ltr">With integrated digital twin capabilities, teams can virtualize products, processes, and equipment by integrating the best available models informed by sensor and metrology data, guided by domain knowledge, bolstered with software and hardware compute, and continuously synchronized with physical counterparts.&nbsp;</p><p dir="ltr">Customer evidence: “<a href="https://altair.com/resource/rolling-out-a-better-process-digital-twin-slashes-waste-15-and-runtime-hours-to-seconds?lang=en" target="_blank">Digital Twin Slashes Waste 15% and Runtime Hours to Seconds</a>”</p><h3 dir="ltr">C: Convergence is Key</h3><p dir="ltr">Digital twin is a living, breathing model of systems that is grounded in physics assimilating data from inspections, sensors, etc. These systems can be physical, biological, or business process-related. Developing and sustaining a digital twin ecosystem that connects the infrastructure, environment, and methodology (tools, methods, and processes) requires the convergence of simulation, HPC, <a href="https://altair.com/internet-of-things-applications" target="_blank">Internet of Things</a> (IoT), and AI.&nbsp;</p><p dir="ltr">Being able to offer this in a single, unified environment is what has helped Altair deliver the market’s <a href="https://altair.com/one-total-twin" target="_blank">premier digital twin offering</a>. Regardless of what industry you’re in or what product or system you want to model, we provide one total digital twin solution that optimizes workflows from concept to real-time in-service operation.</p><p dir="ltr">Customer evidence: “<a href="https://altair.com/resource/harnessing-the-power-of-big-data-ai-and-simulation-to-accelerate-product-innovation?lang=en" target="_blank">Harnessing the Power of Big Data, AI and Simulation to Accelerate Product Innovation</a>” and “<a href="https://altair.com/resource/developing-sustainability-with-ai?lang=en" target="_blank">Developing Sustainability with AI</a>”&nbsp;</p><h3 dir="ltr">K: Knowledge-Driven Workflows</h3><p dir="ltr">Speaking of workflows, that brings us to TRICK’s final letter. As teams progress through the development and testing cycle, they generate a ton of knowledge at each step. But often, they’re losing a lot of knowledge and experience in the spaces between each step because information is trapped in silos. These silos act like a filter that sifts valuable nuggets of insight from between each phase until hardly any is left at the end of the line.</p><p dir="ltr">When I say digital twin means creating “knowledge-driven workflows,” I mean that it can capture information and experiences into a model-based ecosystem that can then be used to develop traceability and governance and improve product quality. A model-based systems engineering workflow breaks horizontal silos from requirements to product end of life by providing a model as a common language of communication.&nbsp;</p><p dir="ltr">These knowledge-driven workflows reduce design errors once you finally get to the product testing and release stages. There’s no such thing as a universal mistake-proof workflow, but you can certainly minimize errors and the time spent correcting them by harnessing previously lost knowledge.&nbsp;</p><p dir="ltr">As the maxim goes, life isn’t so much about being right as it is about being less and less wrong. Digital twin technology gives people a transformational way to innovate, become more efficient, and develop the next generation of standout products. Digital twin is the best way to be less wrong – and continuing to be less wrong is the real “TRICK” to unlocking innovation.&nbsp;</p><p dir="ltr">To learn more about how Altair is enabling digital twin technology, register to attend the Simulate at the Speed of Design 2024 event, where Keshav will present the TRICK methodology in more detail. You’ll also be able to attend ‘simulation starter;’ events, designed for those who do not currently use simulation technologies, are outsourcing most/all of their analysis, or still use limited CAD embedded simulation tools.&nbsp;</p><p dir="ltr">In these sessions you can understand the benefits of the technologies from companies that have recently implemented simulation using Altair SimSolid; and through interactive sessions, experience how easy it is to get started, even with limited resources or on the Cloud.</p><p dir="ltr"><a href="https://events.altair.com/simulate-at-the-speed-of-design-2024/#:~:text=Following%20on%20from%20Altair's%20highly,their%20development%20process,%20developing%20more" target="_blank" rel="noopener noreferrer" class="button-main-action">Read more about the event&nbsp;</a><a href="https://wevlv.co/altair_simulate_2024" target="_blank" rel="noopener noreferrer">here.</a></p><p dir="ltr"><em>This article was contributed to by Philemon Mayowa.</em></p>

“TRICK” is a simple, compelling acronym that serves you on your digital twin journey. It’s a framework to help separate true digital twin technology from fancy-looking interactive CAD models, which are not digital twins but rather mere digital shadows. 

The TRICK to Digital Twin Technology Adoption

<p id="isPasted">All objects consist of atoms, which are made up of protons and neutrons in the atomic nucleus, surrounded by electrons. Once one enters this universe of the smallest things – the quantum world – it all gets very complicated very quickly. When researchers want to know exactly how atoms are connected and form solid objects, they come up against limits. No computer is powerful enough to calculate material properties precisely when many different atoms are involved. A researcher from the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) has now investigated a way to do this via digital quantum simulation. This requires a quantum computer with initially only a few functioning computing and memory units, qubits, which could already answer questions about materials research – using quantum computing to ultimately even improve itself.</p><p>"In contrast to problems that can be solved with increased computing power alone, the complexity of quantum systems exceeds the capabilities of all supercomputers available today, combined. This means that we are currently unable to find explanations for phenomena from the quantum world, including conductivity, magnetism and superconductivity," says Benedikt Fauseweh from the <a href="https://www.dlr.de/en/sc" target="_blank">DLR Institute for Software Technology</a>. "Quantum physics is fundamental to understanding our world, especially solid-state physics." In solids, atoms or molecules are so close together that they hardly move at all. Metals, semiconductors, ceramics and many plastics are solids.</p><h2>A visionary idea – but quantum computers still make mistakes</h2><p>The concept of simulating quantum phenomena on a quantum computer is more than 40 years old. In 1982, the US-American physicist Richard Feynman (1918 to 1988) proposed using the principles of quantum mechanics itself to simulate the behaviour of quantum systems. “The development of modern quantum computers is bringing Feynman’s visionary idea closer to reality. Of course, it remains the dream of all physicists to describe all of nature in its full complexity,” says Fauseweh. But we are not there yet; quantum computers still make errors in complex calculations because their qubits (computing and storage units) are not stable or cannot be controlled, leading to incorrect results. Nevertheless, researchers are looking for ways to run sophisticated simulations on quantum computers.</p><h2>Large number of qubits not required</h2><p>Fauseweh has described this in the scientific journal <a href="https://www.nature.com/articles/s41467-024-46402-9" target="_blank" rel="noopener noreferrer">Nature Communications</a> and included worldwide research results. His analysis shows that a large number of qubits is not necessarily required for the simulation of complex quantum systems: "If we use too many qubits, the results are no longer useful due to errors in the quantum computer," explains Fauseweh. "We have to identify precisely those applications that still deliver a correct result even with errors in the quantum computer." So, with quality before quantity, digital quantum simulations could soon solve the mysteries of solid-state research: why do interactions between many particles prevent their movement in solids? Why, for example, do some materials not heat up as expected in a magnetic field? How do materials change their properties when they are irradiated with lasers? "It is also exciting that we can use quantum computers in materials research to make quantum computers themselves better."</p><p>Different technologies for quantum computers certainly complement one another.<a href="https://www.dlr.de/en/latest/news/2022/03/computing-with-light" target="_blank">&nbsp;Photonic quantum computers</a> or quantum computers with <a href="https://www.dlr.de/en/latest/news/2023/02/atomic-shells-become-computational-building-blocks" target="_blank">neutral atoms</a>, for example, would be particularly suitable for some applications, while quantum computers with<a href="https://www.dlr.de/en/latest/news/2022/04/contract-awarded-as-part-of-the-dlr-quantum-computing-initiative" target="_blank">&nbsp;ion traps</a>, with <a href="https://www.dlr.de/en/latest/news/2022/04/how_diamonds_become_qubits" target="_blank">nitrogen vacancies in diamond</a> or other <a href="https://www.dlr.de/en/latest/news/2023/04/quantum-computers-out-of-the-lab-into-the-world" target="_blank">solid-state spins</a>, would suit others. These hardware technologies are being developed in the <a href="https://www.dlr.de/en/research-and-transfer/featured-topics/quantum-technologies/the-dlr-quantum-computing-initiative-qci" target="_blank">DLR Quantum Computing Initiative (DLR QCI)</a>.</p><p><span class="fr-img-caption fr-fic fr-dib" style="width: 768px;"><span class="fr-img-wrap"><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1712996854792-image-1920-0e0e1372dc051ff5fc2e347f9452228c.jpeg" style="width: 100%px;" class="fr-fic fr-dib"><span class="fr-inner"><strong>Goal – improving materials.</strong> Quantum computers can simulate solid-state structures that even the best supercomputers cannot calculate. They can therefore help to improve materials for high-tech applications such as photovoltaic systems. Credit: © DLR. All rights reserved</span></span></span></p><h2 id="isPasted">Analogue simulations reach their limit</h2><p>In recent decades, researchers have used analogue quantum simulations to assist them – with a quantum platform that serves as a substitute for the actual system. The behaviour of the substitute quantum platform is adjusted so that it corresponds to that of the system under investigation. In this way, it is possible to simulate quantum systems that supercomputers had already failed to – and with this the advantages of quantum simulation become apparent. Analogue quantum simulation has been a common method until now. "However, it has the disadvantage that these machines are not flexible. They can only do one type of simulation," says Fauseweh. "What we want is the universality of a digital quantum computer. That is the most important advantage we expect from the different approaches."</p>

Crystal lattice of a solid (symbolic image). When researchers want to know exactly how atoms are connected and form solid objects, they come up against limits. Digital quantum simulations could soon solve the mysteries of solid-state research. Credit: stock.adobe.com

Digital quantum simulations can be used to solve problems in solid-state research, for example conductivity, magnetism or superconductivity.

Quality matters - Advances in digital quantum simulation

<p id="isPasted">In an industry where speed, accuracy, and cost-effectiveness are crucial, <a href="https://yawmanflight.com/" target="_blank">Yawman Flight</a> teamed up with <a href="https://motocilino.com/" target="_blank">MotoCilino Engineering Service</a> firm and Nexa3D to address the challenge of designing and developing a first-of-its-kind handheld controller for flight simulations.The Yawman Arrow is the fusion of a traditional handheld gaming controller and the unique flight controls found on aircraft of all sizes. Designed for precision and versatility, the Arrow brings together a traditional joystick, desktop throttle quadrant, and rudder pedals – and more – all into a handheld form factor.</p><p>The result is a breakthrough in both product innovation and manufacturing efficiency, with <a href="https://nexa3d.com/3d-printers/xip/" target="_blank">XiP Desktop 3D Printer</a> playing a pivotal role in achieving success.</p><h2 id="isPasted">Challenge</h2><h5>Create high-fidelity prototypes quickly and cost-effectively without investing in tooling early on in the development process</h5><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1712135865489-creating-high-fidelity-prototype-768x720.jpg" style="width: 100%px;" class="fr-fic fr-dib"></p><p>Yawman Flight faced the challenge of creating a unique flight simulator controller under significant time and budget constraints. The primary objectives were to develop a first-of-its-kind handheld flight simulator controller and complete the project rapidly and cost-effectively, without investing in costly injection molding tooling. Additionally, the team required high-quality surface finish and mechanical performance of all of the components so achieving injection molding-like quality quickly and affordably were critical to the success of the project.</p><p>Yawman Flight’s intended customer base is flight simulation enthusiasts and professionals in the aviation industry who demand high-quality, realistic flight simulation experiences. The flight simulation industry requires high-quality products that can meet strict specifications for part tolerances and mechanical performance in order to provide a truly realistic simulation experience.</p><blockquote id="isPasted"><p>“The XiP allowed us to create a final product that exhibits injection molded like qualities in terms of surface finish and performance, but without the costs and long lead times. We would’ve been delayed by as much as a year had we used another manufacturing method during the prototyping phase.”<strong>Thomas Nield, Engineering Lead at Yawman Flight</strong></p></blockquote><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1712135927444-1712135927444.png" class="fr-fic fr-dib"></p><h2 id="isPasted">Solution</h2><h5>The XiP proved to be ideal tool for the job due to its accuracy and print speed</h5><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1712135943136-flight-controller-3D-printed-XiP-768x769.jpg" style="width: 100%px;" class="fr-fic fr-dib"></p><p>Yawman Flight collaborated with MotoCilino Engineering Service firm to develop a unique controller in record time, going through 17 different design iterations before validating the final assembly in just a few weeks. The final prototype controller consists of 36 different components, all of which were printed on the <a href="https://nexa3d.com/3d-printers/xip/" target="_blank">XiP desktop 3D printer</a> using xABS3843 high-performance resin.</p><p>The team at MotoCilino chose to print the components on the XiP due to printer’s reliability and high print quality using <a href="https://nexa3d.com/materials-selection-tool/" target="_blank">performance grade resin</a> that mimic mechanical properties of final production grade ABS. In fact, the finished controller visual aesthetic and mechanical performance was virtually indistinguishable from those components that were molded. “Printing on the XiP allowed us to deliver components to the Yawman team in half the time it would’ve taken us had we used another desktop SLA printer, and the print quality on the XiP is just superior,” said Paul Cilino, Owner of Motocilino.</p><h2 id="isPasted">Benefit</h2><h5>Accelerated time to market by nearly a year and delivered high-fidelity prototypes at a fraction of the cost</h5><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1712135957381-36-piece-3D-printed-flight-controller-768x774+%281%29.jpg" style="width: 100%px;" class="fr-fic fr-dib"></p><p>The team was able to finalize the design and deliver a high quality prototype with injection molding-like surface finish and mechanical performance quickly and cost effectively. The finished assembly included over 36 printed components, all virtually indistinguishable from its injection molded counterparts in both finish and mechanical performance. As a result, the team is now ready to scale to production as they prepare for commercial launch in July, 2023, on the heels of tremendous initial demand received during its beta launch earlier in the year.</p>

Working with engineering experts at MotoCilino, the team commercialized a handheld flight controller in record time

Revolutionizing Flight Simulation 3D Printing

<p><a href="https://web.altair.com/ssd2024" target="_blank" rel="noopener noreferrer">Check the recordings of the event here!</a></p><h2 id="isPasted">Accelerating product design with simulation&nbsp;</h2><p>When applied early in the development cycle,<a href="https://www.wevolver.com/profile/altair" rel="noopener noreferrer" target="_blank">&nbsp;simulation (CAE, FEA) technologies</a> can rapidly accelerate the creation of high-performance, profitable products. However, choosing and implementing the right simulation solution effectively can be challenging when you have limited resources.</p><p>If you are considering implementing simulation (CAE, FEA) for the first time or utilize CAD embedded simulation tools but are running into challenges with speed and accuracy or want to take the next step and explore multi-physics analysis, the free virtual event <strong>Simulate at the Speed of Design</strong> event on &nbsp;<strong id="isPasted">May 16, 2024</strong><strong>,&nbsp;</strong>maybe for you.</p><p>Learn from your peers and Altair’s experts how a mixture of software, support, and know-how can help you be more efficient and effective in developing new products.</p><p><a href="https://wevlv.co/altair_simulate_2024" target="_blank" rel="noopener noreferrer" class="button-main-action">Register Now</a></p><h3>Why should you attend?</h3><p>Learn how small and medium organisations, are deploying Altair simulation (CAE, FEA) solutions such as Altair® Inspire™, SimSolid® and SimLab® to reduce the risk and cost of late design manufacturing changes.</p><h3><strong>Topics covered in the event</strong></h3><ul><li>Presentations from small-medium business (SMB) customers of Altair and Altair Channel Partners, on their transition from CAD embedded simulation and how they successfully implemented CAE, FEA simulation in their product development workflow.</li><li>Generative design, Concept development, topology optimization or design for manufacture in Altair® Inspire™.</li><li>Rapid structural analysis in Altair SimSolid® for parts or large assemblies.</li><li>Drop test, thermal, CFD, fatigue or combined multiphysics analysis in Altair® SimLab®</li><li>Manufacturing feasibility, Process simulation with Inspire Cast, Inspire Form, Inspire Mold, or Inspire Print3D.</li></ul><p>Sessions will feature live audio translation into English, French, German, Spanish, Italian, Portuguese, Japanese, Chinese, and Korean.&nbsp;</p><header><h3>Who should attend?</h3></header><ul><li>Individuals working in the design department, including engineers, design managers, and heads of the design department</li><li>If you are using 3D CAD and considering adopting simulation tools (CAE, FEA) for the first time</li><li>Anyone experiencing difficulties with the speed and accuracy of CAD-embedded simulation (CAE, FEA) tools</li><li>CAE Engineers, analysts, and the head of the CAE department</li><li>If you are interested in exploring multi-physics analysis and looking to take the next step</li><li>Managers of related departments who rely on the CAE department or outsource simulation services</li></ul><p><a href="https://wevlv.co/altair_simulate_2024" target="_blank" rel="noopener noreferrer" class="button-main-action">Register Now</a></p><h2 dir="ltr" id="isPasted">Event Schedule and Speaker Lineup</h2><p dir="ltr">Hear from a diverse lineup of industry experts who will share their insights and expertise on various aspects of product development and simulation technology. Following is a list of some of the notable speakers from the event.&nbsp;</p><h3 dir="ltr">Simulation at the Speed of Design Speakers:&nbsp;</h3><p dir="ltr"><strong>Chief Product and Strategy Officer, Altair,&nbsp;</strong></p><p dir="ltr">Ravi Kunju will talk about the power of simulation in speeding up the design process. Drawing upon his extensive experience and expertise in product development and strategy, Ravi will provide insights into how simulation technologies can transform the design process, enabling engineers and designers to iterate rapidly and optimize product performance.</p><p dir="ltr"><strong>Co-Director, Simulation-driven Systems Development Practice, CIMdata,</strong></p><p dir="ltr">Sandeepak Natu brings 27 years of experience in engineering simulation, entrepreneurship, and business management. He will share insights on advancing simulation adoption in SMEs and unlocking new avenues for growth and competitiveness.</p><h3 dir="ltr">Simulation Starters Speakers:</h3><p dir="ltr"><strong>Product Manager at Altair for SimSolid,</strong></p><p dir="ltr">Girish Mudigonda will be presenting on "SimSolid Cloud - Simulate Anywhere." He will discuss the capabilities of SimSolid Cloud, highlighting its versatility in enabling simulation from anywhere. Attendees can expect insights into the features, benefits, and practical applications of SimSolid Cloud, empowering them to conduct comprehensive simulations efficiently.</p><p dir="ltr"><strong>Engineering Manager at Modulift, UK,</strong></p><p dir="ltr">Harshal Kulkarni will share insights into how Altair SimSolid has slashed design development time by 70%. He will highlight Modulift's experience with FEA analysis and the transition to Altair SimSolid, emphasizing its user-friendly interface and efficiency benefits for engineers.</p><p dir="ltr"><strong>Senior Engineer at Daewonsanup,</strong></p><p dir="ltr">Kyungsoo Kim will address the challenges associated with squeak and rattle noise in vehicle seats and how they impact driver fatigue. He will discuss the analytical evaluation methods employed, including testing and CAE programs, to identify the root causes of these noises. Additionally, Kyungsoo will highlight the utilization of Altair SimSolid for efficient and accurate quantification of mechanical and electrical factors contributing to seat noise.&nbsp;</p><h3 dir="ltr">Simulation Driven Design Speakers:</h3><p dir="ltr"><strong>Director of GTT at Altair,&nbsp;</strong></p><p dir="ltr">Jaideep Bangal will lead the expert chat on "Accelerate Simulation-Driven Design with Altair Inspire." Drawing on his expertise, Jaideep will explore the capabilities of Altair Inspire for simulation-driven design, highlighting its role in accelerating the product development process. Attendees can expect insights into leveraging Inspire to optimize designs efficiently and effectively.</p><p dir="ltr"><strong>Representing Bionic MeshDesign,</strong></p><p dir="ltr">Thomas Spoida will discuss strategies for accelerated gigacasting development, focusing on overcoming challenges in large-scale castings. Attendees can expect insights into innovative approaches for efficiently designing and optimizing large castings to expedite time-to-market and enhance product quality.</p><h3 dir="ltr">Exploring Multiphysics Speakers:</h3><p dir="ltr"><strong>CAE Specialist Engineer at BeonD,</strong></p><p dir="ltr">Luigi Scrimieri will present "How BeonD identifies cell thermal runaway behavior with SimLab." He will demonstrate how computational simulations, juxtaposed with experimental data, accurately predict cell thermal runaway, paving the way for scalable simulations to modules and full battery packs.</p><p dir="ltr"><strong>SimLab Specialist, Altair,</strong></p><p dir="ltr">D V Siddharth and Senior Application Engineer, Bharadwaj Gundepudi will showcase the practical applications and capabilities of SimLab across various domains, including structures, thermal analysis, electronics, and motor simulations. Attendees can expect to gain insights into the versatility and effectiveness of SimLab in addressing diverse engineering challenges.</p><h3 dir="ltr">Manufacturing Simulation Speakers:</h3><p dir="ltr"><strong>Chief Product and Strategy Officer at Altair,</strong></p><p dir="ltr">Ravi Kunju will discuss the benefits of a Simulation-Driven Manufacturing (SDfM) approach, enabling product designers to detect design flaws earlier and optimize manufacturing processes. Attendees will gain valuable knowledge on leveraging simulation-driven design to streamline manufacturing processes and achieve optimal results.</p><p dir="ltr"><strong>Managing Director of Shiva ToolTech,</strong></p><p dir="ltr">Shivaji Pawar will present a case study on expediting the design and fabrication process of casting dies for automotive components cast with Aluminium AlSi7Mg via Gravity Tilt Pouring. Attendees will learn how the integration of Inspire Cast significantly reduced die development times, demonstrating its efficacy in streamlining the casting process.</p><p dir="ltr"><strong>CEO of Presskon Engineering GmbH,</strong></p><p dir="ltr">Gökhan Cetinkaya will present a case study illustrating the integration of Finite Element Method (FEM) simulation into their workflow. Gökhan will demonstrate how FEM simulation can assist design engineers in optimizing their workflows, reducing costs, and enhancing product quality.</p><p dir="ltr"><strong>Note:&nbsp;</strong>Please note that the event will be broadcast in two different time zones to accommodate attendees from various regions. Kindly refer to the respective time zone schedule to ensure you don't miss any sessions.&nbsp;</p><p dir="ltr">For the full list of speakers and presentation times, <a href="https://events.altair.com/simulate-at-the-speed-of-design-2024/#:~:text=Following%20on%20from%20Altair's%20highly,their%20development%20process,%20developing%20more" target="_blank">visit the event page.</a></p><p dir="ltr"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzE0NDgxODM4MDU2LVVudGl0bGVkICgxMzIwIHggNTAwIHB4KSAoMSkucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 100%px;" class="fr-fic fr-dib"></p><p><br></p>

Learn how to reduce the risk and cost of late design, and manufacturing changes at the free Altair Virtual Global Event on May 16, 2024

Simulate at the Speed of Design 2024

Example output of DeepScenario’s AI software that detects and tracks all moving objects in a scene in a fully automated way. (DeepScenario) 

There are many divergent-but-related ideas about how best to leverage simulation to ‘teach’ and test automated vehicles. Global AV simulation experts continue to attack the technology’s persistent obstacles.

Simulation Software

Profiles