The main task in the automotive industry is to organize a nonstop development of safer, better performing and more appealing vehicles within strict timelines and limited budgets. Key automotive challenges are fuel economy & emissions regulation, warranty expenses reduction, shortening product development cycles and reducing costs of production, growing need for systems modelling as well as the development of electric vehicles and autonomous driving systems.
DATADVANCE solutions enable OEMs and part manufacturers (powertrain, transmission, chassis, electronics, HVAC, batteries, etc.) to address these challenges. pSeven helps automotive engineers to:
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June 16, 2021
Joint webinar by MSC Software and Datadvance covering the benefits of integration between Adams Car and pSeven via an industrial use-case involving the optimization of an automotive suspension damper.
January 28, 2020
Learn how to leverage simulation toolchain automation and data analysis to develop a process to improve design performances of a mechanical support of PCB in automotive.
By Martin Pauthenet, Application Engineer, DATADVANCE and Ciprian Crisan, Thermomechanical Simulation Engineer, Vitesco Technologies
July 29, 2019
Automated reusable workflow, Adaptive DoE techniques and Predictive Modeling toolkit of pSeven ensured a full automation of the virtual testing, its’ flexible setup, execution, collecting, storing and reusing data.
Anton Saratov, DATADVANCE and Leonhard Herrmann, FDTech
December 5, 2016
The customer used to fit formula’s coefficients with a standard optimization algorithm, which made Formula 1 vehicle’s tire calibration process time-consuming. Explore the example of how pSeven accelerated this process form 24 to just 1 hour.