🧠 AI-Powered Crash Predictions by NAVASTO | Powered by Autodesk 🕓

Crash simulations that once took hours can now be performed in seconds thanks to the AI technology developed by NAVASTO, a company backed by Autodesk.

Originally built for sensitivity analysis, this AI model now enables real-time crash predictions. A striking example: a Toyota vehicle crashing into a wall, fully simulated with AI, showing accurate deformation and impact behavior all happening in real time.

Why it matters:
• From hours to seconds: real-time crash analysis
• Fast evaluation of multiple design options
• Supports early decision-making
• Reduces physical testing needs

This is a major step forward in engineering workflows, making simulation faster, smarter, and more accessible.

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🔧 Metal 3D Printing and Generative Design Applied to Vehicle Chassis Engineering

This advanced demonstration combines Generative Design algorithms with Directed Energy Deposition (DED) metal 3D printing technology to redefine how we design and manufacture structural automotive components.

Key advancements include:

• 🔻 Up to 10× reduction in part count – minimizing complexity and improving maintainability.
• ⏱️ 60% shorter lead times – accelerating prototyping and production cycles.
• 🪶 Lightweight and modular architecture – enabling enhanced performance and energy efficiency.

By integrating AI-driven design with additive manufacturing, this approach not only improves mechanical performance but also revolutionizes the production process through material efficiency and design optimization.

#Metal3DPrinting #GenerativeDesign #DirectedEnergyDeposition #AdditiveManufacturing #VehicleEngineering #InnovationInMotion #AdvancedManufacturing

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🔍 Autonomous AI Systems: Shaping the Future of Engineering & Intelligent Decision-Making
Imagine an AI system that doesn't just process data but learns, plans, experiments, and generates innovative solutions independently.

These next-generation autonomous systems function in iterative, adaptive cycles, enabling them to:

🔁 Plan and execute complex simulations and optimization workflows
📊 Evaluate results automatically and refine strategies based on outcomes
💡 Generate novel solutions grounded in learned patterns and insights.

All with minimal to no human intervention drastically accelerating innovation across disciplines.

🚀 Key Applications Include:
• Intelligent Data Acquisition through Active Learning
• Automated Hyperparameter Tuning via Bayesian Optimization
• Closed-loop Experimental Design and Model-Driven Discovery

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🚀 A Must-Read Resource for Tech & Engineering Enthusiasts (Ansys Advantage – Issue 2, 2024)

Focus Topic: AI-Powered Simulation & Autonomous Systems in Engineering

This issue provides deep insights into the future of simulation technologies, autonomous AI systems, digital twins, and their real-world industrial applications.

Key Highlights:
🔹 Autonomous AI for Smart Decision-Making
🔹 AI-Driven Simulation & Optimization Workflows
🔹 Digital Twin Development with AI/ML Integration
🔹 Industrial Case Studies from Leading Companies (Tata Steel, Seagate, Automotive, Aerospace)

📥 Access to the full PDF is available in this post.

For more high-value resources in technology, engineering, and AI — stay connected with @AddiTech.

#AI #Engineering #Simulation #DigitalTwin #Optimization #AddiTech

Ansys Advantage – Issue 2, 2024

#PDF
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Generative Design ⚙️
Revolutionizing Engineering Through AI

Generative Design is a cutting-edge, AI-driven approach that transforms the way we conceptualize and create engineering solutions. Instead of manually modeling a structure based on past experience or intuition, engineers define the design goals, constraints, material properties, manufacturing methods, and loading conditions and the software explores hundreds or even thousands of optimized design alternatives.

This iterative and exploratory process mimics nature's evolutionary approach, using algorithms to evaluate and evolve solutions based on performance metrics such as strength, weight, durability, and cost-efficiency.

Unlike traditional CAD modeling, where design originates from the engineer’s mind, generative design starts with data — and ends with innovation.

Stay tuned for real-world applications, case studies, and simulation insights into the future of design and manufacturing. 🌐✨

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🚀 𝗔𝗱𝗱𝗶𝗧𝗲𝗰𝗵 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝟮𝟬𝟮𝟱–𝟮𝟬𝟯𝟮
Our prospective view will be at integration of intelligent process control, human-machine collaboration, and cyber-physical resilience in metal additive manufacturing (AM).

🛤 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:

𝟮𝟬𝟮𝟱–𝟮𝟬𝟮𝟳: 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘵 𝘗𝘳𝘰𝘤𝘦𝘴𝘴 𝘊𝘰𝘯𝘵𝘳𝘰𝘭
Real-time manufacturing optimization using AI, adaptive systems, and optical sensors.

𝟮𝟬𝟮𝟳–𝟮𝟬𝟮𝟴: 𝘚𝘶𝘴𝘵𝘢𝘪𝘯𝘢𝘣𝘪𝘭𝘪𝘵𝘺 & 𝘏𝘶𝘮𝘢𝘯 𝘞𝘦𝘭𝘭-𝘣𝘦𝘪𝘯𝘨
Focus on eco-friendly processes, bio-compatible materials, and socially responsible production.

𝟮𝟬𝟮𝟴–𝟮𝟬𝟯𝟬: 𝘈𝘥𝘷𝘢𝘯𝘤𝘦𝘥 𝘏𝘶𝘮𝘢𝘯-𝘔𝘢𝘤𝘩𝘪𝘯𝘦 𝘐𝘯𝘵𝘦𝘳𝘧𝘢𝘤𝘦𝘴 (𝘈𝘏𝘔𝘐)
Integration of AR/MR for immersive monitoring and co-creation in AM.

2030–2032: 𝘊𝘺𝘣𝘦𝘳-𝘗𝘩𝘺𝘴𝘪𝘤𝘢𝘭 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 & 𝘙𝘦𝘴𝘪𝘭𝘪𝘦𝘯𝘤𝘦
Robust and secure AM environments via AI-driven anomaly detection and system integration.

🤝𝗝𝗼𝗶𝗻 𝗨𝘀:
Open collaboration with researchers, innovators, and companies in:
  • Metal AM
  • Advanced control systems
  • AR/MR
  • Sustainable manufacturing
  • Cybersecurity in industry

Let’s shape the future of AM together
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