Kenneth Bodin’s Post

2024 UST Engineering Alumni Summit - EnggPowering Synergy: Connecting Minds, Uniting Expertise, and Shaping Futures to forge tomorrow's Engineering Solution Usually, I discuss Codes and Standards in a particular subject but since we will now talk about the future. It's quite fitting to discuss how valuable Artificial Intelligence Recently I been using AI just for simple tasks A well-trained AI can do CFD Fire/Smoke Analysis, Evacuation Simulation, and Forecast Loughborough University has validated that an AI can accurately interpret building blueprints to assess non-compliant fire risks. This system leverages advanced computer vision techniques to process paper-based and digital blueprints, extracting critical information and evaluating the building’s compliance with building regulations. The goal is to automate the traditionally labor-intensive and error-prone process of blueprint analysis, providing a quicker method for identifying potential fire hazards.  from Andy Grove, Intel's former CEO: "Success breeds complacency. Complacency breeds failure. Only the paranoid survive."

Diving into the world of simulation! I recently had the opportunity to work on a simulation project, and it was an incredibly valuable experience. *Under the supervision and guidance of*  Eng. Abdelrhman Ibrahim, Moaz Badawy.  I learned firsthand how simulation can be used and revolutionizing the way we design, test, and analyze products and systems. By creating virtual models and running experiments in a controlled environment, we can explore new possibilities, identify potential issues, and optimize performance. Simulation is a technique that involves creating a model of a real-world process or system to study its behavior under different conditions.  This model is then used to run experiments and analyze the results, providing valuable insights that can inform decision-making.  I'm excited to continue exploring the potential of simulation in my work. What are your experiences with simulation? Share your thoughts and insights. INNOVATEX #Simulation #Technology #Innovation #Engineering #Design #Modeling

How can AI help solve complex engineering challenges?   PhysicsX is unlocking new design possibilities with its machine learning platform that accelerates physics simulations, enabling engineers to test and optimize new products and overcome bottlenecks faster. Founded by former motorsport engineers, our portfolio company is helping streamline development for some of the world’s most advanced products at scale with applications across aerospace, materials science manufacturing, and more.   PhysicsX’s platform supports engineering workflows by:   → Simulating complex systems in seconds → Automating time-consuming tasks → Encoding insights and real-time data

Check this one out! Curious about your thoughs!

🚀 𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧: 𝐃𝐞𝐦𝐨𝐜𝐫𝐚𝐭𝐢𝐳𝐢𝐧𝐠 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧!🚀 Great article from my colleagues Robin Bornoff and Dirk Hartmann. #Industrial #simulation technologies are at the heart of modern #productdevelopment and solving some of humanity's biggest challenges. 🌍🔧 These tools are indispensable, with virtually every industrial product being simulated during its development. Yet, despite their critical role, the use of simulation remains largely restricted to expert users due to various technical and non-technical barriers. We've reached a pivotal moment where the exponential growth in computational capabilities has transformed what was once a week-long process on early computers into millisecond tasks on modern laptops. 🖥️⚡ However, the new bottleneck is no longer computational power but the scarcity of human expertise required to operate these sophisticated tools. To truly harness the potential of industrial simulation, we need to democratize access and expand its utilization. The future of industrial simulation is bright. By democratizing these tools, we can empower more innovators, enhance efficiency, and drive forward the next wave of industrial advancements. 🌟💡 Let's embrace this shift and make simulation a cornerstone of every engineering decision, enabling smarter, faster, and more innovative solutions. if you want to learn the whole article you can find it here. https://lnkd.in/dH2T9C_v

Innovation takes time. Fields like engineering, medicine, and so on, needed centuries to reach their current state. The path can be broken into generational leaps. Knowledge is added with discoveries, innovation, or technological change. The field of engineering design is currently making its fourth generational leap. This generation brings design and simulation into a single point. A design is created by understanding the physics of its environment. Instead of an engineer drafting a design, they model the physics, the constraints and the outcomes they wish to achieve and use modern machine learning, AI and topology optimization. These techniques consume vast quantities of simulation data to make design decisions. In the Third Generation, the human engineer would understand the “key features” of the simulation data and work with those in mind. Using Fourth Generation techniques, engineers have tools that can act on the entire simulation data set. ToffeeX has created a software platform with a Fourth-Generation mindset. It couples Fourth-Generation engineering design algorithms and robust physical simulations into a single package. Talk to us to improve and accelerate your future designs. #4thgenengineeringdesign  

This post captured the essence of the new approach to design, where simulation and design are definitively merging into a single process. The key shift is that design is now being driven by an upfront understanding of the physics and desired outcomes, rather than drafting designs first. Vast simulation data sets are being fed into algorithms that can optimize the design by operating on the entire data landscape, far beyond just extracting "key features" as was done previously. Platforms like ToffeeX represents this profound paradigm shift in engineering design. Human engineers no longer need to manually incorporate simulation insights in a linear way. Instead, the AI can co-create designs in lockstep with the physics being simulated.

Let's learn about Moving mesh also known as adaptive meshing. Adaptive meshing is a numerical technique used in simulations where the computational grid dynamically adjusts to follow the evolution of the physical phenomenon being modeled. This means that when the part is constructed layer by layer, the mesh that is used to discretize it and its surroundings may alter in size and shape in the context of additive manufacturing (AM) process modeling. This adaptability offers several crucial advantages. Firstly, it allows for accurate tracking of the melt pool boundaries and the solidification front, which are critical for predicting residual stresses and distortions in the final part. Secondly, moving mesh can significantly improve the computational efficiency of AM simulations. It is possible to lower the computational cost without compromising accuracy by utilizing coarser components elsewhere and concentrating mesh elements in locations of high importance, like the melt pool and the solid-liquid interface. Moving mesh approaches make sure that the computing effort is concentrated where it is most needed, which improves the simulation's accuracy and efficiency by adjusting the mesh in real-time to the new material limits. For example, in techniques such as Friction Surface Deposition Additive Manufacturing (FSD-AM) or Additive Friction Stir Deposition (AFSD), the material flow and heat-impacted zones are quite dynamic, and an adaptive mesh that can accurately track these changes is very helpful.

Simulation and digital twins are set to revolutionize innovation in the future, driven by advancements in computation capacity and Artificial Intelligence. Here are the six key trends shaping the future of simulation: 1. **Shifting Left**: Simulation will be integrated early in product design, improving decision-making and cost-efficiency. With faster computational speeds, designers and sales professionals will leverage simulation for preliminary assessments, enhancing ROI. 2. **Shifting Right**: Simulation will expand into manufacturing and operations, supported by the Industrial Internet of Things (IIoT). Autonomous simulations and digital twins with virtual sensors will optimize asset management and operational efficiency. 3. **Shifting Down**: Simulation will democratize, reaching beyond specialized engineers to SMEs and hobbyists. User-friendly interfaces will stimulate innovation, making simulation tools more accessible and broadening the user base. 4. **Shifting Up**: The future of simulation lies in autonomy and omnipresence within the Industrial Metaverse and Generative AI frameworks. Cloud-based services will enable self-evolving simulations, enhancing efficiency and adaptability. 5. **Going Deeper**: Simulation tools will achieve higher resolutions, modeling systems at various scales, from planetary to sub-molecular levels. This capability will drive advancements in material design and efficiency. 6. **Completeness**: Increasing system complexity will propel agile engineering approaches. Model-based systems engineering and SysML standards will gain prominence, streamlining the development process from concept to completion. The future of simulation is bright, offering extensive opportunities for innovation and efficiency across various industries. #Simulation #DigitalTwins #Innovation #AI #FutureTechnology

MIT researchers combine AI and engineering principles to develop a revolutionary linkage system that's 28 times more accurate and 20 times faster than existing methods, opening new possibilities in mechanical design and automation. https://lnkd.in/esvfJ3u3