Automotive System Validation
For years Altair has been a standard in the automotive world for its specialized tools for their specific applications. The automotive industry is now transforming at a higher rate than ever before, and Altair is right there alongside to make sure they have the tools they need to stay competitive in an ever-changing market.
Altair for Automotive Design
BEV, AV and ADAS Systems Development
Battery Electric Vehicles (BEV), Autonomous Vehicle (AV) and Advanced driver assistance systems (ADAS) are becoming more and more prevalent, and also present new challenges.
Altair Feko helps users understand the electromagnetic environment including 5G antenna networks, and its impact on design.
Altair PollEx includes a complete set of PCB verification tools that allow users avoid costly product failures.
Lightweighting and Generative Design
One of the biggest challenges in automotive design is reducing mass or volume while maintaining strength and stiffness. Both Altair OptiStruct and Altair Inspire include industry-leading technology for both lightweighting and generative design. Using these tools users can make their vehicles more fuel and energy efficient.
Integration of the structural tools on the HyperWorks platform ensures users can take advantage of multiphysics testing without having to leave the model, including Altair HyperMesh as the gold standard for mesh creation.
Sheet metal stamping is a foundation in the automotive manufacturing industry. This process can include tool and die process combinations to create the final product.
Avoid common defects in sheet metal forming like wrinkles and cracks using Altair Inspire Form.
Many parts used in automotive and vehicle design are manufactured by a metal casting process. Using Altair Inspire Cast, users can understand common defects in their current process like air traps, porosity and cold shuts.
FEMFAT offers fatigue life prediction of all vehicle components (engine, gearbox, chassis, frames, car bodies and structures) and machinery equipment based on FEA.