The spin-off Renumics GmbH uses machine learning methods to make Computer Aided Engineering more efficient and take the strain off computational engineers.
Crash tests are an expensive affair. In early development stages, collision experiments are therefore often replaced by computer simulations that can be performed thousands of times taking various influential factors into account. These simulations are usually based on computer-supported processes, on so-called Computer Aided Engineering (CAE). This concept centres on computational engineers who compile numerical models, thus assisting constructors in the analysis and optimisation of their designs. The crucial time and cost factors here are the many manual work steps involved. For example, computational engineers invest a considerable amount of time in routine activities such as pre-processing geometries and integrating data instead of being able to concentrate on modelling and analytical work, which is precisely where Renumics comes in. This KIT spin-off has developed a software with which CAE can be automated. In this context, machine learning methods help make simulations workflows considerably more efficient.
The Renumics founding team (left to right): Steffen Slavetinsky, Markus Stoll and Dr Stefan Suwelack.
INDMATEC GmbH has specialized in 3D printing for high-performance polymers and the relevant materials. With their patented technology, they are pioneers in 3D manufacturing technology according to the principle of “fused filament fabrication” (FFF) in combination with the high-performance polymer polyether ether ketone, abbreviated PEEK. The material is especially appealing for the automotive, mechanical engineering, electrical engineering, and semiconductor industries. In an interview, we asked the team of INDMATEC about the idea, the startup time, and the future prospects.
OPVengineering offers highly dynamic test bench automatization components in the field of automotive development. With their solution, they create ideal test environments in the test bench by operating drive components interacting with virtual vehicle remainder models. In cooperation with industry partners and the KIT, the team works on constant development. In an interview, we asked the team of OPVengineering about the idea, the startup time, and the future prospects.
OPVengineering team (f.l.t.r.): Christian Stier, Steffen Jäger, and Martin Geier with a test bench demonstrator system