HybridSolver for flexible, resilient and efficient multiscale simulation

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In order to simulate and thus understand physical processes from micrometre fibre diameters to rotor blades over a hundred metres long, this project hybridizes classic numerical simulation methods with state-of-the-art machine learning approaches. The use case of fiber-plastic composites promises broad transferability to other material classes, such as filtration media, batteries and rock physics.  Thanks to this long-term and versatile usability, the project promotes the maintenance and expansion of competitiveness in industrial sectors that are considered to be a key area of expertise for the German economy.

 

Dr.-Ing.

Andreas Gebhard

Research Director Digitalization & Manager Digitalized Process & Material Development

Special expertise: tribology of plastics, tribometers and tribometry, transfer films, development of plastic composites, laboratory information management, data modeling

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