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.

How does cold crucible induction melting ensure titanium purity?

Melting a metal without it touching the crucible walls, is like melting butter without it touching the bowl!

Can this little turbo-expander help save the planet?

A small British start-up uses cutting-edge engineering in air cycle refrigeration to improve engine efficiency Unlike most start-ups, Chris Whelan…

Meet Siemens at NAFEMS CAASE20

Throughout the year, engineers at Siemens work with our customers and partners to deliver improved, more robust simulation software that will help users deliver innovations faster and with greater confidence. We are looking forward to sharing these new technologies with you at CAASE20.

Simcenter FLOEFD Frontloading CFD Award Winners

The winners of the Simcenter FLOEFD Frontloading CFD Award 2019 have been announced

Avoid Bearing failure with Virtual Prototyping. Angular Contact Ball Bearing (ACBB, left), Tapered Roll Bearing (TRB, right), as modeled in Simcenter 3D

Bearing Transmission Failures: How to Avoid Them With Virtual Prototyping

Bearings allow complex machinery to rotate by making the rotation possible while reducing friction, and are therefore vital to system efficiency and reliability. Improving bearing design through virtual prototyping is a cost-effective and thorough design approach, which reduces transmission downtime and failures.

Excellence in electric vehicle NVH at Karma Automotive

What should an electric sports car engine sound like? There is currently no clear answer to this question, as there is very little history of electric vehicles to draw from. Engine noise is also brand-specific, so even existing electric vehicles will sound different depending on which company produced them.

How Rule of Mixtures is Killing Your Composite Design

Rule of Mixtures is probably the most known and widespread method of estimating composite properties. Its notoriety in composite design circles is also its main problem: Rule of Mixtures has been overused and applied to cases that do not even come close to respecting its original, simplifying assumptions.

Fatigue Challenge of Additive Manufacturing

The Fatigue Challenge of Additive Manufacturing: A Simulation-Based Approach

Additive Manufacturing (AM), also known as 3D-printing, allows the production of complex components layer by layer, using only the material you need. Siemens Digital Industries Software offers simulation-based solutions to predict and optimize Additive Manufacturing product performance.