Effective methods to simulate radiation in turbomachinery

Designing modern gas turbines is a balancing act between physics and performance. As temperatures soar, even small thermal miscalculations can…

Simcenter Prescan 2606 release image

Python in the loop: AI-driven simulation and validation for autonomous systems – Simcenter Prescan 2606 

What’s new ADAS and autonomous system development increasingly relies on Python, machine learning frameworks, and large volumes of sensor data. Yet…

Bridging design & simulation in humanoid robotics 

For decades, humanoid robotics remained confined to science fiction lore, imagined as assistants or workers capable of human-like behavior and interaction. Today, advances in AI, robotics, and simulation are rapidly turning that vision into reality, pushing humanoids beyond research labs into real industrial environments.

What’s new and exciting in Simcenter Nastran 2606 and Simcenter Optistruct 2026.1 releases

What if your solver stopped making you choose between fidelity, speed and focus? Engineering teams are under pressure from every…

System Simulation for humanoid robots – Turning complexity into competitive advantage with Simcenter Amesim

This blog introduces System Simulation for designing Humanoid Robots virtually with digital twins in Simcenter Amesim. It’s mechatronics with multiphysics to virtually size and assess the performances of Humanoid Robots with simulations executed in few seconds.

Close-up of a CNC milling tool actively cutting a metal workpiece, with metal shavings and coolant fluid spraying outward during high-speed machining

The artisan’s ear in the digital age: Reimagining tool life with AI and Executable Digital Twins

From shop floor intuition to AI-powered foresight – discover how Simcenter Reduced Order Modeling uses Bayesian Neural Networks to predict CNC tool wear and remaining useful life.

What’s new in Simcenter 3D Rotor Dynamics 2606 – Postprocess modes at critical speeds and efficiency updates

Why do we need rotor dynamics analysis? Modern turbomachinery, from jet engines to industrial compressors, runs at high speeds and…

E-drivetrain measurements to insights

A 4-step approach to transform multiphysics e-drivetrain measurements into meaningful initial engineering insights

Electric drivetrain programs generate massive amounts of multiphysics data — yet many teams still struggle to turn it into trusted engineering decisions. This article presents a proven 4‑step approach to transform raw electrical, mechanical, and vibration measurements into validated, correlated, and repeatable insights, using a unified Simcenter Testlab workflow from measurement to decision.

The inaugural AI master class 2026: Unlock competitive advantage with your physical test data

Unlock the power of your engineering test data in this three‑day AI master class. Build practical AI workflows, improve NVH and durability processes, and boost innovation through hands‑on training. Read this blog to learn more and register to accelerate your AI‑driven engineering future.