Closing the gap between the Digital Twin and physical hardware with system-in-the-loop testing

Automotive engineers today are faced with a conundrum: While the complexity of vehicle engineering has exploded, expected time to market has decreased rapidly.

How to use AI to reduce the Parameter ID process from weeks to minutes

The parameter ID process for automotive engineers typically takes weeks. Learn how Simcenter Engineering uses AI to reduce the process to minutes.

Most asked questions on data collection for ADAS validation

About 1.25 million people globally die each year due to road traffic crashes – that’s over 3400 deaths a day!…

Unreal Physics-Based Camera simulations in Simcenter Prescan C++

Siemens announces the release of Simcenter Prescan version 2021.2, the best physics-based simulation platform for testing and development of automated…

Simcenter Amesim electric machine modeling

Electric machine modeling and system integration

How a truly multi-disciplinary system simulation platform supports the early sizing, vehicle integration and control validation to balance performance, energy…

6 inspiring applications of CFD software for vehicle water management

Vehicle water management has become more important today than ever before due to the increase in autonomous and electric vehicles.

Hyundai’s model-based control strategy to improve NVH

What’s the first thing that comes to mind when you think of diesel engines? For me, it’s noise. Diesel engines…

Acoustic trim main image

Efficient and accurate acoustic trim modeling with Simcenter 3D

Learn more about the powerful simulation capabilities in Simcenter 3D for acoustic trim using the FEMAO solver

Myth Busters

4 Myths about AI in CFD

As Artificial Intelligence (AI) has become more ubiquitous in our everyday lives, so too has confusion about what it is and what it means for engineers. The definition of AI and the role it will play in future product development is often dependent on who you ask.