HANNOVER MESSE 2020, 20 - 24 April
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CAE Forum: Trends of the future factory

Aspects of digitalization in materials research

Material modeling – process simulation – machine learning

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Artificial Intelligence, Digital Twin, Lightweight Construction

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Due to the increasing product diversity in connection with saving of resources, the modeling of technological processes and materials is of crucial importance. The goal is to develop tailor-made materials, to optimize the properties of components or to predict the reliability of products. The experiment (real twin) often represents the motivation for specific research activities and simultaneously serves as model identification and validation of the digital twin. Only through a close connection between both (experiment and simulation), unique new insight of the material and process can be gained. This contribution will highlight the interplay of experiment and simulation based on various examples of materials research, such as additive manufacturing (laser metal deposition, friction surfacing) and local modification (laser shock peening) techniques as well as the use of artificial intelligence to correct experimental measurements.


 Prof. Dr.-Ing. Benjamin Klusemann

Prof. Dr.-Ing. Benjamin Klusemann

department head, Helmholtz-Zentrum Geesthacht / Leuphana University of Lüneburg

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