Automotive & Transportation

Manage electric drive systems engineering like a flock of birds anticipating the next move

January 25, 2024

What has a flock of birds in common with managing electric drive systems engineering?

By Els Verlinden

6 MIN READ

Measure the unmeasurable using Simcenter Testlab Virtual Point Transformation

January 24, 2024

Introduction As test engineers we often find ourselves facing challenges that seem unavoidable when it comes to capturing accurate data….

By Eric Sorber

6 MIN READ

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

January 24, 2024

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

By Roland Pastorino

5 MIN READ

Multi-pillar approach for safety validation of automated vehicles

January 24, 2024

Siemens, RDW and JRC collaborate on multi-pillar approach for safety validation of automated vehicles

By Alexandru Forrai

6 MIN READ

I got 99 problems but the data ain’t one

January 22, 2024

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

By Wouter Dehandschutter

5 MIN READ

The magic in electric vehicle road noise engineering

January 22, 2024

Find out more innovative methodologies for analyzing road noise in electric vehicles and addressing NVH issues using virtual assemblies.

By Markus Brandstetter

6 MIN READ

Simcenter E-Machine Design software first release image.

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

January 22, 2024

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

By Adrian Perregaux, Jonathan Melvin and Edgar Matas

3 MIN READ

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

Simcenter 3D Smart Virtual Sensing – Unveiling the Magic

January 15, 2024

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

By Xiaoting Kou and Jonathan Melvin

5 MIN READ

Advancements in predicting the fatigue lifetime of structural adhesive joints

January 10, 2024

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

By Adrien Scheuer, Stijn Donders and Vinicius Carrillo Beber (Fraunhofer IFAM)

5 MIN READ