Automotive & Transportation - Automotive & Transportation

Siemens Software Podcast Network

How to fully leverage digitalization in automotive today

For software-defined vehicles in the streets to AI in manufacturing, the automotive industry is set to undergo significant transformation in...

By Quinn Foster

The future of industrial blocked force testing is here. Introducing Automated component model extraction (AutoCMX)

AutoCMX introduces a breakthrough in industrial blocked force testing, enabling suppliers and OEMs to digitalize component integration with unprecedented efficiency and accuracy. By automating the ISO 20270 workflow, it eliminates manual bottlenecks—reducing measurement time from days to hours while delivering consistent, repeatable results. Built on Simcenter SCADAS hardware and Testlab software, AutoCMX empowers scalable validation, virtual integration, and earlier NVH insight, accelerating development and improving decision-making across the product lifecycle.

Thought Leadership

Laying the groundwork for AI in automotive with the comprehensive Digital Twin

Software-defined vehicles and other complex products are more dominant than ever before, imposing new requirements and challenges on the automotive...

By Quinn Foster

How modular simulation reduces EV thermal management complexity

Welcome to the first part in a six-part series, demonstrating the importance of robust model management in the creation and...

By Martin Egginton, Chiel Verhoeven

Thought Leadership

Simulation Is No Longer The Bottleneck — But Something Else Might Be

For a long time, simulation was clearly a bottleneck. Runs took hours or days, compute capacity was limited, and design...

Beyond the solver: How Geometric Deep Learning is reshaping CAE

Discover how Geometric Deep Learning powers Simcenter PhysicsAI to deliver fast, accurate CFD & FEA surrogate models - cutting simulation time from days to seconds.

By Nachiket Patil

Solve complex NVH challenges across the development process with Simcenter

Discover how Transfer Path Analysis (TPA) helps engineers solve NVH challenges by identifying noise and vibration sources, quantifying contributions, and enabling earlier, data-driven design decisions.

By Elif Altuntop Kavas, Rajinder Singh Dhillon

Thought Leadership

Data, the Digital Twin and AI in the future of automotive – Transcript

In this episode of The Industry Forward Podcast, Royston Jones and Ryan Martin explore how data and the Digital Twin...

By Quinn Foster

Siemens Software Podcast Network

Data, the Digital Twin and AI in the future of automotive

The rise of software-defined vehicles in the automotive industry has opened new ways to access and leverage data gathered by...

By Quinn Foster