Project A03

Multiscale-multiphase topology optimization for components made of hybrid materials

Modern manufacturing techniques like additive manufacturing and directed foaming of metals enable production of delicate microstructures with multiple materials. With that, the question arises: what are optimal geometries of components and especially how to choose locally in each point the material composition and microstructure, so that for a given application an optimal component through multiple scales can be found? The objective of project A03 is the development of a simulation and optimization algorithm that determines virtually the geometry and local material composition for a component to have maximum mechanical resilience. The objective considers multiple length scales: the macroscopic geometry and material choice as well as the microstructural characteristics. Both scales inherent their unique restrictions regarding manufacturing. To improve numerical efficiency, modern neural networks and machine-learning methods will be applied to speed up the determination of the optimal microstructures and their mechanical properties.

Project leader
Prof. Dr.-Ing. habil. Philipp Junker

Doctoral researcher
Ján Pravda, M.Sc.

Publications