Two engineers examining simulation models on a computer monitor, with a digital overlay of the design symbolizing the digital twin

Reusing legacy finite element data to create system-level models

Learn how to overcome common issues when creating system-level models through FEA data reuse

The quote from Daft Punk also applies to durability engineering

Speed up durability road load data analysis to accelerate the delivery of critical insights

Daft Punk said: “Work it harder. Make it better. Do it faster. Make us stronger.” Read this blog to see how road load data analysis applies this for durability engineering.

Engineers looking at screen

5 reasons aerospace companies need model-based Reliability, Availability, Maintainability and Safety (RAMS)

Find out what it means to digitalize your Reliability, Availability, Maintainability and Safety (RAMS) process and why it is so important.

nonlinear analysis with femap

Driving simulation accuracy with nonlinear analysis for better products

Learn how nonlinear analysis can help you ensure accurate simulation results and improve product performance.

Model-based verification and design optimization of controller calibration

In 1968, Volkswagen became the first company to use a computer in a car. The D-Jetronic, created by Bosch, controlled…

How the predictive digital twin supports energy operations

Why is the digital twin so crucial for energy operations? And which digital twin should you rely on? Learn how…

Electromagnetic simulation for a satellite

Simulating electromagnetics for successful space missions

Read how the challenges related to electromagnetics for space systems can be overcome using Simcenter.

Oil and gas: Raising industry safety standards with simulation

How can you raise the standards for safety in the oil and gas industry? We have some suggestions

Artificial intelligence in automotive engineering: why now is the time

What opportunities for artificial intelligence in automotive engineering? Join Simcenter experts in a Q&A session