The AIMM project, with participation from the University of Stuttgart, is developing automated and data-driven methods of material modeling [Picture: University of Stuttgart/IFB]
The AIMM project, with participation from the University of Stuttgart, is developing automated and data-driven methods of material modeling [ Picture: University of Stuttgart/IFB] Lightweight components, for example made from new steel alloys or plastics, are key to energy-efficient and low-emission vehicles. Reliable and precise simulation methods are essential for their development. Transferring existing material models to new and complex materials however requires a lot of time and experience. In order to speed up the calculations, the new research project AIMM (Artificial Intelligence for Material Models) is now focusing on machine learning methods. The Institute of Aircraft Design (IFB) and the Institute for Metal Forming Technology (IFU) are involved in the project on behalf of the University of Stuttgart. In order to find out whether a car or an airplane can withstand a crash, the behavior of the materials used such as metals and plastics are evaluated in computer simulations under a variety of conditions. This evaluation is carried out using computer programs which often integrate hundreds of models in order to describe the behavior of the different materials.
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