New electric motor design tools with realistic workloads

Simcenter E-Machine Design impacts the electric motor design process. Significantly improve your efforts by including realistic vehicle behavior and control strategies in your experimental outcomes with Simcenter Amesim integration.

Simcenter E-Machine Design software first release image.

What’s New in Simcenter Mechanical simulation 2312

Simcenter Mechanical simulation 2312 introduces the latest updates to our products including: Simcenter 3D, Simcenter Nastran, Simcenter E-Machine Design, Simcenter Madymo, Simcenter Tire, and Simcenter Magnet.

How to embed Executable Digital Twins into Physical Testing in 4 steps

Embed the Executable Digital Twin into physical testing to calculate engineering performance KPIs and correlate predictions with real measurements.

Teamcenter Simulation 2312 release

I got 99 problems but the data ain’t one

Engineering challenges are multiplying and new ones are being added all the time. Whether it’s about balancing cost and performance,…

Simcenter E-Machine Design software first release image.

Simcenter E-Machine Design: Accelerate, innovate, and optimize your electric machine design process

Simcenter E-Machine Design software is our new virtual laboratory for e-motor and e-generator engineers. Find out more in this blog.

Hydrogen-powered aircraft

Latest simulations reveal data about hydrogen-powered aircraft and an integrated aircraft design

With the aviation industry turning towards sustainable fuels, state-of-the-art aircraft design is bound to stay in the past. In this blog, discover our latest data on how the use of hydrogen and fuel cells impacts the design and the integration of systems in an aircraft.

Simcenter Smart Virtual Sensing results overlaid on a wind turbine blade.

Simcenter 3D Smart Virtual Sensing – Unveiling the Magic

Simcenter 3D Smart Virtual Sensing offers a robust framework to measure the unmeasurable sensing locations.  It enables the creation of physics-based smart virtual sensors executable digital twins(xDTs) to deploy on different phases of the product lifecycle. The innovative approach enables you to have more efficient tests, faster design optimization, smarter manufacturing, and predictive maintenance. Most importantly, it maximizes the value of the digital twin in the entire enterprise

Blade heat transfer

Weaving digital threads with machine learning for turbomachines

In this blog, discover the effect of artificial intelligence and machine learning on the efficiency of your simulation workflow for turbomachines.

Structural Adhesive

Advancements in predicting the fatigue lifetime of structural adhesive joints

Thanks to the convergence of Artificial Intelligence and Physics The challenges of structural adhesives In the realm of structural engineering,…