This media is not supported in your browser
VIEW IN TELEGRAM
𝗔𝗩𝗢𝗜𝗗 𝟯𝗗 𝗣𝗥𝗜𝗡𝗧𝗜𝗡𝗚 𝗘𝗥𝗥𝗢𝗥𝗦 𝗪𝗜𝗧𝗛 𝗦𝗜𝗠𝗨𝗟𝗔𝗧𝗜𝗢𝗡 🖥
At Danish Technological Institute, experts use simulations to optimize additive manufacturing and achieve 'first-time-right' results 📈
Using Simufact software, AM design specialist Andreas Weje Larsen predicts errors like deformation, cracks, shrink lines, and recoater contacts in titanium (Ti6Al4V). Aluminium (AlSi10Mg) is next ⚙️
Below is a test build for AMSIS GmbH, where shrink lines were predicted and later confirmed in the printed part 😊
The goal: Predict and fix errors before printing 👍
Our LinkedIn Page
@AddiTech
At Danish Technological Institute, experts use simulations to optimize additive manufacturing and achieve 'first-time-right' results 📈
Using Simufact software, AM design specialist Andreas Weje Larsen predicts errors like deformation, cracks, shrink lines, and recoater contacts in titanium (Ti6Al4V). Aluminium (AlSi10Mg) is next ⚙️
Below is a test build for AMSIS GmbH, where shrink lines were predicted and later confirmed in the printed part 😊
The goal: Predict and fix errors before printing 👍
Our LinkedIn Page
@AddiTech
👏2👍1
This media is not supported in your browser
VIEW IN TELEGRAM
⚡️ Ansys Fluent Meets #SimAI: Revolutionizing Simulation ⚡️
🚀 What makes SimAI powerful?
1) Lightning-fast predictions: Evaluate performance in under a minute — design cycles reduced by 10-100X.
2) Massive design exploration: Quickly test and compare countless design iterations.
3) No-code AI experience: Designed for engineers and designers — no deep learning expertise needed.
One impressive example: SimAI's drag prediction on a new SUV geometry takes less than 1 minute, with an error of less than 0.5% compared to CFD, while maintaining accurate skin friction and wake topology predictions.
🔁 Left: Traditional Fluent CFD | Right: AI Prediction from #SimAI
Our LinkedIn Page
@AddiTech
Ansys SimAI, a cloud-enabled generative AI platform, is transforming the engineering landscape by delivering ultra-fast and accurate performance predictions across physics domains like fluid dynamics.
🚀 What makes SimAI powerful?
1) Lightning-fast predictions: Evaluate performance in under a minute — design cycles reduced by 10-100X.
2) Massive design exploration: Quickly test and compare countless design iterations.
3) No-code AI experience: Designed for engineers and designers — no deep learning expertise needed.
One impressive example: SimAI's drag prediction on a new SUV geometry takes less than 1 minute, with an error of less than 0.5% compared to CFD, while maintaining accurate skin friction and wake topology predictions.
🔁 Left: Traditional Fluent CFD | Right: AI Prediction from #SimAI
Our LinkedIn Page
@AddiTech
🔥3🥰1
This media is not supported in your browser
VIEW IN TELEGRAM
🧠 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.
This is a major step forward in engineering workflows, making simulation faster, smarter, and more accessible.
Our LinkedIn Page
@AddiTech
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.
Our LinkedIn Page
@AddiTech
👌3
🧠 Conceptual Design with Generative AI and CFD on AWS ☁️
AWS is transforming early-stage product development by combining Generative AI with high-performance CFD simulations in the cloud. This integration enables engineers and designers to rapidly generate, evaluate, and refine complex geometries based on performance targets all within a scalable, cloud-native environment.
This cloud-based workflow empowers R&D teams to move from idea to validated design faster and more efficiently, accelerating innovation across industries such as aerospace, automotive, and energy.
Our LinkedIn Page
@AddiTech
AWS is transforming early-stage product development by combining Generative AI with high-performance CFD simulations in the cloud. This integration enables engineers and designers to rapidly generate, evaluate, and refine complex geometries based on performance targets all within a scalable, cloud-native environment.
Using tools like Amazon SageMaker, NVIDIA Modulus, and Ansys Fluent, design teams can:
• Generate optimized geometry concepts in minutes
• Run CFD simulations at scale using AWS ParallelCluster and HPC infrastructure
• Apply AI-driven surrogate models for rapid performance prediction
• Significantly reduce iteration cycles in the conceptual phase
This cloud-based workflow empowers R&D teams to move from idea to validated design faster and more efficiently, accelerating innovation across industries such as aerospace, automotive, and energy.
Our LinkedIn Page
@AddiTech
🔥2🤯1😨1
🚗💡 Generative Design Boosts Formula Student Performance!
The application of Generative Design is revolutionizing how student teams develop their Formula Student race cars 🏎
By using topology optimization, engineers can find the ideal material distribution within components — making them lighter, stronger, and perfectly adapted to real-world loads and design constraints ⚙️✨
📍 A great example:
💡 Why it matters:
Reducing weight means less mass to accelerate — translating to:
✅ Faster acceleration
✅ Improved handling
✅ Lower energy consumption
🚀 Smarter design = better performance on the track!
Our LinkedIn Page
@AddiTech
The application of Generative Design is revolutionizing how student teams develop their Formula Student race cars 🏎
By using topology optimization, engineers can find the ideal material distribution within components — making them lighter, stronger, and perfectly adapted to real-world loads and design constraints ⚙️✨
📍 A great example:
The Elbflorace Formula Student Team from TU Dresden applied Generative Design to optimize their rock shafts.
🔧 Through additive manufacturing in titanium, they’ve cut the component’s weight by a massive 50% since the first iteration! 💪
💡 Why it matters:
Reducing weight means less mass to accelerate — translating to:
✅ Faster acceleration
✅ Improved handling
✅ Lower energy consumption
🚀 Smarter design = better performance on the track!
Our LinkedIn Page
@AddiTech
👌2👍1🤯1
This media is not supported in your browser
VIEW IN TELEGRAM
🔧 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:
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
Our LinkedIn Page
@AddiTech
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
Our LinkedIn Page
@AddiTech
👌3
🔍 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:
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
Our LinkedIn Page
@AddiTech
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
Our LinkedIn Page
@AddiTech
🤯2❤1
🚀 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
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
🤩2👏1
This media is not supported in your browser
VIEW IN TELEGRAM
Generative Design ⚙️
Revolutionizing Engineering Through AI
Stay tuned for real-world applications, case studies, and simulation insights into the future of design and manufacturing. 🌐✨
Our LinkedIn Page
@AddiTech
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. 🌐✨
Our LinkedIn Page
@AddiTech
🥰2👏2😨1