Introduction to xDT

Executable Digital Twin (xDT) – Part 1

The Executable Digital Twin will enable companies to closely analyze their complex systems from the design through operation using AI….

digitalization in product development

On-demand webinar: Frequency Response Function (FRF) testing

Showcasing 3 stories on how accurate FRFs datasets are measured and enables product engineers to build highly accurate virtual models….

Accelerate HiL development with VeriStand 2020 support

Simcenter Prescan, the best physics-based simulation platform for testing and development of automated vehicles, announces…

Simcenter Prescan 2020.4 -Create more realistic images

Siemens announces the release of Simcenter Prescan 2020.4, the physics-based simulation platform for testing and…

Automated driving system assessment – Siemens partners with IVEX

Siemens and IVEX are collaborating to create the most streamlined toolset available in the market for automated driving system assessment….

The 2019 Simcenter Conference Europe was held in Amsterdam

Digital Twins and Digitalization are trending this event season.

Just because events like REALIZE Live Europe are digital destinations this year doesn’t mean you shouldn’t have the dates blocked in your agenda. REALIZE Live Europe is going online November 3-4, 2020.

Digital Testing Symposium

Access all presentation material from our August 26, 2020 Event Learn how Testing is Evolving…

Main thermal nodes of the machine model

Thermal simulation of electric machines

Facilitating innovation in thermal integration of electric machines Efficiency regulations for electrical machines are placing…

Selected application cases, projected on the automotive development cycle

How artificial neural networks aid in mechatronic system development

In this blog post, we discuss how artificial neural networks aid in mechatronic systems development. We will use examples from different phases of the vehicle systems development cycle. We will also explore the applicability of various types of neural networks for a variety of engineering tasks….