Optimization

For maximal lightweight potential and optimal manufacturability, part geometry, material and process must match in mutual regard and thus, part and process conceptualisation impact most on final part performance. Besides rigorous analysis of process dynamics, simulations enable an automated search of optima during part design.

We couple our elaborate and detailed simulation models with optimisation algorithms. Apart from definition of suitable optimisation objectives we also focus on computational efficiency: For instance, AI-Models can guide the optimiser’s search and concentrate costly simulations on the most promising variants. This reduces the computational effort by up to 70%.

 

Research focus
  • Laminate optimisation
  • Topology optimisation
  • Optimisation of local reinforcements (patches)
  • AI-assisted manufacturing process optimisation
  • Development of efficient process models

 

Research projects
Contact

M.Sc. Tobias Würth
Tel.: +49 721 608-45410
Email: tobias.wuerth∂kit.edu

 

Bild FAST-LBT
Example of AI-integration into optimisation: An AI-algorithm learns with a set of predefined set of process examples, which part feature requires which process configuration.

Selected publications in the research field