How AI and ML are accelerating product development with MODSIM

🚀 Design smarter, not slower! Hours of manual CAD work… reduced to seconds. AI now doesn’t just draw it predicts, simulates, and delivers optimized designs instantly. ⚡ 💡 From stress tests to material checks, watch AI think like an engineer so you don’t have to. 🔧 AI isn’t replacing engineers — it’s upgrading them. 🌐 Smarter designs start at rhosigma.in #rhosigma #engineering #aiinengineering #cad #designautomation #precisionengineering #airevolution #generativeai #smartdesign #engineeringdesign #mechanicalengineering #industrialdesign #futureofdesign #aiworkflows

What if your FEA or CFD simulation that took hours could be done in minutes — thanks to AI? 🚀 Engineers, here’s the game-changer you’ve been waiting for. In today’s fast-moving engineering world, speed and accuracy matter more than ever. In our latest blog, we dive into how Artificial Intelligence (AI) is transforming both Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) simulations. Here’s what you’ll discover: - How AI can help reduce simulation turnaround times dramatically — enabling more design iterations in less time. - Ways AI supports predictive modelling, enabling engineers to forecast performance before full-scale simulation runs. - Optimisation possibilities: AI becomes the catalyst for smarter, faster simulation-driven design decisions. - Real-world implications: For industries from oil & gas to automotive, using AI in simulation workflows is becoming a competitive edge. Why this matters for you: Whether you’re managing simulation workflows, reducing cost, or aiming to shorten time-to-market, adopting AI-powered FEA/CFD isn’t just “nice to have” — it’s quickly becoming “must-have”. If you want to stay ahead in engineering, understanding this shift is critical. 🔗 Read the full blog here: https://lnkd.in/dcjUeWR8 If you’re curious about implementing AI in your simulation workflow — drop a comment or DM me, and I’d be happy to chat!

🚀 Experience the power of AI in design! AI is reshaping the way we design! 🤖✨ Here's a glimpse of AI-driven automatic drawing creation in Solid Edge 2026 - faster detailing, smarter automation, and effortless results. #SolidEdge2026 #AIinDesign #Siemens #SolidEdge #Engineering #Innovation #SiemensPLM #CADAutomation #CADdesign #Manufaturinginnovation #DesignEngineers #Productdesign

What if AI could design parts that are 𝘭𝘪𝘨𝘩𝘵𝘦𝘳, 𝘴𝘵𝘳𝘰𝘯𝘨𝘦𝘳, 𝘢𝘯𝘥 𝘤𝘩𝘦𝘢𝘱𝘦𝘳 than anything a human could model by hand? ⚙️ That’s exactly what’s happening in mechanical engineering today. Teams are using 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝘁𝗼𝗽𝗼𝗹𝗼𝗴𝘆 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 to redesign components — from aircraft brackets to robotic arms — cutting weight by up to 𝟰𝟬% without sacrificing strength. Here’s how it works: AI iteratively simulates load paths, stress distributions, and material constraints across thousands of designs in minutes. It doesn’t “guess” — it 𝘭𝘦𝘢𝘳𝘯𝘴 which geometries perform best under real-world forces. Engineers then validate and fine-tune these results for manufacturability. The outcome? Lighter parts, less material waste, and better performance — often 𝘸𝘦𝘦𝘬𝘴 faster than traditional CAD workflows. This isn’t about replacing engineers. It’s about giving them 𝘀𝘂𝗽𝗲𝗿𝗵𝘂𝗺𝗮𝗻 𝗱𝗲𝘀𝗶𝗴𝗻 𝗶𝗻𝘁𝘂𝗶𝘁𝗶𝗼𝗻 powered by machine intelligence. Curious what AI-optimized design could do in your industry? Let’s talk. 🚀 #AIengineering #DesignOptimization #GenerativeDesign #MechanicalEngineering #AIAutomation

In #DED, the gap between simulation and reality is expensive. Failed builds, wasted material, and compromised part quality all stem from #software that promises one thing and delivers another. Our #thermal simulation predicts actual heat distribution and accumulation throughout your build. Our #kinematic simulation shows exact robot movement and offers safety checks for potential collisions. When you press print you get exactly what you saw on screen. See it for yourself at Formnext - Where ideas take shape 12.1 B79. #additivemanufacturing #3dprinting #formnext #formnext2025 #metalam #waam #ded #manufacturing #ai #simulation

📢 Featured Research from JMechE Vol. 22(3) | September 2025 Issue 🦾 AI-Powered Visual Detection System for Latex Glove Manufacturing This research introduces an AI-driven visual detection framework to automate quality inspection in glove production, integrating YOLO v5 deep learning, SolidWorks structural optimization, and AQL-based validation. Key Insights: ✅ YOLO v5 model achieved 99.3% accuracy and 5.2% average loss ✅ Structural vibration optimization improved detection stability ✅ Demonstrates industrial application of AI for sustainable, efficient glove manufacturing Conclusion: A step forward in integrating AI and mechanical engineering for smarter, more reliable production systems. 📄 Read the paper: https://lnkd.in/g4RRvfaK #JMechE #SmartManufacturing #YOLOv5 #AIinIndustry #DeepLearning #VisionSystem #MechanicalEngineering #ScopusIndexed

AI is redefining what’s possible in NX! The latest release of Siemens NX introduces a new generation of AI-powered tools designed to make product design and manufacturing faster, smarter, and more intuitive than ever. What’s new: • The all-new AI Copilot lets you interact with NX using natural language - ask questions, launch commands, or automate repetitive tasks in seconds. • Generative and predictive design capabilities analyze geometry, suggest optimized features, and adapt to your design intent automatically. • Context-aware automation streamlines modeling, simulation, and assembly workflows by learning from your habits and anticipating your next steps. These innovations don’t replace engineering expertise, they amplify it. At Designfusion, we help manufacturers unlock the full potential of NX, including its latest AI-powered capabilities. If you’re ready to see how AI can transform your design workflow, our team can help you get there. #NX #Siemens #AIinCAD #DigitalManufacturing #EngineeringInnovation #DesignAutomation #SmartManufacturing #Designfusion

Spatial Language Models (SLMs) will profoundly change the Hybrid Modular Printed Sections (MPS) Enhancing Modular Integrated Construction (MiC) segment by acting as an intelligent, intuitive intermediary that translates complex design intent and construction logic directly into automated, robotic fabrication instructions. SLMs will leverage their ability to understand and generate human language, coupled with spatial reasoning, to optimize the entire process across the three areas : 1. Design Freedom and Customization: Hyper-Personalized Generation SLMs will transform design from a manual CAD/BIM process into an AI-driven, conversational, and generative workflow. 2. Automation and Quality: Semantic Control of Robotics SLMs will elevate the factory's automation by providing a "digital brain" that orchestrates the entire MPS fabrication process. 3. Utility Integration: Intelligent "Plug-and-Play" Pre-configuration SLMs will eliminate coordination errors by pre-validating and optimizing complex utility paths within the printed sections.

Spatial Language Models (SLMs) will profoundly change the Hybrid Modular Printed Sections (MPS) Enhancing Modular Integrated Construction (MiC) segment by acting as an intelligent, intuitive intermediary that translates complex design intent and construction logic directly into automated, robotic fabrication instructions. SLMs will leverage their ability to understand and generate human language, coupled with spatial reasoning, to optimize the entire process across the three areas : 1. Design Freedom and Customization: Hyper-Personalized Generation SLMs will transform design from a manual CAD/BIM process into an AI-driven, conversational, and generative workflow. 2. Automation and Quality: Semantic Control of Robotics SLMs will elevate the factory's automation by providing a "digital brain" that orchestrates the entire MPS fabrication process. 3. Utility Integration: Intelligent "Plug-and-Play" Pre-configuration SLMs will eliminate coordination errors by pre-validating and optimizing complex utility paths within the printed sections.

Engineers today have access to more powerful tools than ever before - for design, simulation, visualization and more. But with more power comes more complexity - engineering is just as difficult as ever. This is where AI can come in - by being an assistant to the engineer, helping them iterate more quickly than before - helping them navigate challenging problems and information-dense work. Watch as Nexus, our AI Agent, helps navigate an engineer through a complicated safety test using Finite Element Analysis - making the entire process nearly 50 times faster, without any loss of accuracy.