Vehicle Durability

Efficiently Optimize Vehicle Durability With Virtual Tests Using Internal Loads

Learn to efficiently optimize vehicle durability with virtual testing to create an efficient and reliable design. Includes SimRod Case Study.

Free surface (VOF) simulation with rotation for a mixing tank.

Simcenter FLOEFD 2020.2: What’s New?

The latest release of CAD-embedded Simcenter™ FLOEFD™ 2020.2 is here! Simcenter FLOEFD is a CAD-embedded computational fluid dynamics (CFD) solution….

proper helmet design prevents your head exploding like a melon

Helmet design: would you risk your skull on a helmet designed with simulation alone?

Simulation and test work best in combination, would you trust a helmet designed only with simulation?

simrod

SimRod experience: structural dynamics engineering

Learn how Simcenter tools allow engineers to evaluate and balance different performance attributes within one platform for Structural Dynamics Engineering.

Digital Testing Symposium

Access all presentation material from our August 26, 2020 Event Learn how Testing is Evolving with the Digital Revolution Future…

Evaluate CFD tools the right way - Part 2

Compare CFD tools the right way (Part 2)

In my previous post, we discussed why you shouldn’t simply read what you see online without a grain of salt….

Compare CFD tools the right way - Part 1

Compare CFD tools the right way (Part 1)

A handful of tips to make sure you compare CFD tools the right way.

Power Cycling and Thermal Testing Engineering Services

Power Cycling and Thermal Testing Engineering Services

In close cooperation with Siemens Simcenter, M4 Engineering will start delivering power cycling and thermal testing as a service in September 2020.

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.