Key technology in vehicle construction: SCALE researches on Artificial Intelligence

Research projects

ViPriA: Since October 2019, SCALE has been coordinating the BMBF-funded research project on “Virtual Product Development using Intelligent Assistance Systems” (ViPriA for short). In cooperation with SIDACT and the Fraunhofer Institute SCAI, AI methods are being researched to make them useful in the CAE field. The aim of the project is to support calculation engineers in vehicle development with intelligent assistance systems. When setting up numerical simulations, AI approaches are to be used to provide information on meaningful modifications and result forecasts. Automated analyses of simulation results should, among other things, enable anomalies to be presented more efficiently.

ML@KaroProd: Since December 2018, SCALE has been involved in another BMBF project in the field of machine learning as a sub-area of AI. Together with Fraunhofer IWU and the Chair for Artificial Intelligence at Chemnitz University of Technology, research is being conducted into how ML approaches can be used to predict process parameters and component quality in car body production.

Master Theses

Besides participating in research projects on Artificial Intelligence, SCALE has supervised master theses in the field of Machine Learning on the following topics.

Erkennung von FEM-Geometrien mit Mehtoden des Maschinellen Lernens: The thesis presents a conceptual approach for the efficient processing of FEM data and an evaluative comparison of two deep learning approaches for geometry recognition of existing constructions.

• Master Thesis: Erkennung von FEM-Geometrien mit ML-Mehtoden
• Slides Master Thesis: Erkennung von FEM-Geometrien mit ML-Mehtoden

Nick Scheider, TU Dresden, 2020.