Mohamed Fayez Monir’s Post

Discover the power of #IndustrialAI in supercharging #sustainability across various sectors. From the innovative generative design and multi-physics simulations to transformative #manufacturing practices and predictive maintenance, AI is not just reshaping industries – it's crafting a future beyond our imagination. 🌱 #PinaSchlombs #GreenBuzz

This article resonates because it describes how ubiquitous computing will democratise simulation and AI, making them a standard element of design for everyone. This is a key message from our AMRC SMART design research.

One of the questions I usually get is, how close to reality are you able to get with AGX Dynamics.. 42 is the answer my college Anders use to say. The answer will depend of loads of items, friction, mass, contact and many more. The simulation-to-reality gap is the difference between a real-life mechanical system and a digital replica of the same system fed with identical control signals. Narrowing this gap is key if you want to train an autonomous control system in a virtual environment and successfully deploy the same control system on a physical machine, I can see this both with normal training simulators for human operators or with AI training that as closer to reality you are, the better the result you will get. The physics will make a huge difference in more complex machines with tools, load or terrain. The gravel was simulated in two different ways: ▶ Using discrete element modeling (DEM) to simulate the gravel as particles. ▶ Using the multiscale terrain modeling methods of the AGX Terrain module, a heavily reduced and accelerated approximation of the full DEM model. Overall, the experiments show a 10 percent gap between the real machine and the simulations. The researchers would expect the sim-to-real gap to get even narrower with a more sophisticated model of the wheel loader for simulation. So somewhere 90-95% same as reality is possible. Interestingly, the simulations that used the AGX Terrain module to represent the soil dynamics delivered a level of realism that was quite comparable to the DEM-based simulations – but 100 times faster. Even in real-time, the AGX Terrain-powered simulations demonstrated a high level of realism. #sim2real #simulation #digitaltwin #automation

AI-Enhanced Design Tools for Turbomachinery A new DARPA-funded collaboration is spearheading the exploration of AI-enhanced design tools for next-generation turbomachinery. This initiative brings together a team from multiple universities aiming to revolutionize the design and testing processes of turbomachinery components. By integrating advanced AI tools, the project seeks to optimize these processes, ultimately enhancing the efficiency and performance of components that are vital across various industries, including aerospace and energy. The use of AI in turbomachinery design is a promising development, as it allows for more precise modeling and simulation, reducing the time and cost associated with traditional design methods. The AI tools being developed are expected to streamline the iterative design process, enabling engineers to quickly identify the most effective solutions and configurations for turbomachinery components. News Link 👉 https://lnkd.in/daDk4SYD

We would like to thank Altair for supporting our team with its software, helping us accomplish our goals in our recent competition! Altair is a global leader in computational science and artificial intelligence (AI). From groundbreaking simulation technology to cutting-edge AI solutions, Altair Engineering empowers organizations to tackle complex challenges and drive innovation across industries. With a strong focus on high-performance computing and data-driven design, Altair’s tools and expertise help clients unlock powerful insights, optimize performance, and create smarter, more efficient products. Their impact spans aerospace, automotive, healthcare, and beyond, proving that they are not just a technology provider but a true partner in engineering success. Θα θέλαμε να ευχαριστήσουμε την Altair που υποστήριξε την ομάδα μας με τα λογισμικά της, βοηθώντας μας να επιτύχουμε τους στόχους μας στον πρόσφατο διαγωνισμό μας! #AltairEngineering #AI #onlyforward #robotics #engineering #electronics

Ready to see how AI and cloud-native simulation are revolutionizing battery performance? Our upcoming webinar with Noesis will cover everything you need to know. From predicting temperature and heat transfer to evaluating thermal and structural characteristics, you’ll get a view of cutting-edge battery optimization. 👉 Save your spot today: https://hubs.la/Q02TXg7j0 #EVbattery #batterydesign #engineering #automotive #simulation

🚀 Unlock the Power of Simulation in the Energy Sector (and beyond)! 🔋 Join us at the Altair ATCx DEM event where we’ll dive deep into the transformative potential of DEM (Discrete Element Method) technology with Altair® EDEM™. Discover how advanced simulation is driving innovation and efficiency across industries, especially in energy! 💡 Highlights on the agenda: Using AI to discover new electrolyte materials to boost secondary battery performance, leveraging Altair® EDEM™ for microstructure generation and analysis. How DEM and CFD tools can optimize production processes, improve quality, and meet customer needs by uncovering the underlying physics of manufacturing operations. Don’t miss out on the future of simulation and AI-driven innovation! Register now https://lnkd.in/d8BYBfwV #Altair #simulation #ai #machinelearning #altairevent #onlyforward

Have a look at this video: https://lnkd.in/e7VqvZjj - "AI-Powered Engineering | Transforming the Future with Altair" Maybe also read this guide: https://lnkd.in/ebaCByZs If you like what you see there, then please come along to this event on 10th September in Coventry: https://lnkd.in/gHj-GFaG - "AI-Powered Engineering Deep Dive" And yes!...I am well aware that "AI" has become a horrifically over-used buzzword, which is why we will be covering these topics: - Demystifing AI and Applications in Engineering - AI-Based Physics Predictions: predict performance without needing to simulate and make design decisions faster - AI-Based Reduced Order Modeling: leverage Reduced Order Models (ROMs) for faster system level simulations - Predictive Analytics with Altair® RapidMiner®: leverage data science and empower domain experts Also hear from Dr David Panni from JCB about how they use this toolset to accelerate their simulation work

🚀 Are you ready to incorporate AI-powered simulations into your valve design process? Join our live webinar and discover how SimScale’s new AI-powered simulation features are used to design and optimize valve performance, specifically looking at flow coefficient and pressure profiles of differing designs at various operating conditions. We will show you how to: - Import a valve CAD model and run a CFD simulation. - Get started with the new AI simulation features in SimScale. - Use the CFD results to train your AI model. - Run AI predictions on new designs and compare them to CFD data. ✔️ Register now: https://hubs.la/Q02Wq-S10 #AI #simulation #valvedesign #cfd #engineering

With Solido Sim AI, self-verifying algortithms advance circuit simulation and is tuned to SPICE accuracy, which Siemens says can substantially improve simulation speed,  boost accuracy, and improve productivity