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DYNAmore successfully applies for a research project on AI in the field of material modeling

The objective of the Artificial Intelligence for Material Models (AIMM) research project is to complement and/or replace the classical model-based material characterization with an alternative, data-driven material modeling.

For the development of future, efficiency-optimized and low-emission vehicle concepts, the deployment of reliable and precise simulation methods is of fundamental importance. The objective of the Artificial Intelligence for Material Models (AIMM) research project is to complement and/or replace the classical model-based material characterization with an alternative, data-driven material modeling. Particularly in the context of the use of new materials, whose behavior is getting increasingly more complex, this is intended to overcome the limits of conventional material characterization. The focus in AIMM will be on faster deployment of new materials through accelerated description for CAE applications, the development of associated new experimental concepts to generate the necessary training data, and the shortening of the characterization and modeling phase through automation of the processes.

DYNAmore, with its expertise in the simulation of dynamic tasks in structural mechanics, will be strongly involved in the project administered by the project sponsor TÜV Rheinland, especially with the Material Competence Center (MCC). Other industrial consortium partners are Mercedes-Benz AG, ElringKlinger AG, GOM GmbH and renumics GmbH. On the part of the research institutions, the Ernst-Mach-Institut of the Fraunhofer Gesellschaft, the Institute for Software Engineering and Theoretical Computer Science (IDA) of the Technical University of Berlin, as well as the University of Stuttgart with the Institutes for Aircraft Design and Forming Technology are participating in the project, which is funded with 2.9 million EUR by the Federal Ministry for Economic Affairs and Energy (BMWi) based on a resolution of the German Bundestag.

Professor André Haufe, head of the DYNAmore MCC, comments: "There are numerous possibilities to support, optimize or even replace CAE processes by methods of Artificial Intelligence. As experts in materials characterization, we see new and exciting challenges in this area. The project partners in AIMM are excellently positioned to solve these challenges. A significant project risk is the fact that an industrial application places significantly higher demands on robust implementation, both on the data side for obtaining training data and on the evaluation side. Thus, we are eagerly awaiting the start of the project and look forward to an intensive and productive collaboration."

DYNAmore Material Competence Center (MCC):

DYNAmore is a software and development service provider offering a product portfolio that includes the finite element software LS-DYNA, the pre- and post-processor LS-PrePost, the optimization software LS-OPT and numerous FE models for crashworthiness simulation (dummy, barrier, pedestrian and human models). The simulation suite LS-DYNA is co-developed by DYNAmore GmbH. The company has many years of project and development experience in model development and simulation (process simulation, occupant protection, vehicle crash) in all areas of mobility (aerospace, rail and motor vehicles). A special focus of the DYNAmore Material Competence Center (MCC), which was recently equipped with new, larger premises, is the development of material models (metals, plastics and composite materials) and the derivation of methods for their prognostic conditioning and validation.

Contact:
DYNAmore GmbH
Prof. Dr.-Ing. André Haufe
Industriestrasse 2
D-70565 Stuttgart
www.dynamore.de
andre.haufe@dynamore.de