Mini Symposia

Institute for Production Engineering and Forming Machines,
Technical University Darmstadt

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This mini-symposium invites papers that focus on advanced modeling of continuous forming processes for profiles. This includes, for example, the investigation on unsteady initial conditions, complex tooling and process conditions, maintaining constant quality amid varying thermal, tribological, and machine conditions, and achieving variable cross-sections along the profile length.

Department of Mechnical Engineering, Aalto University

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This mini-symposium offers a cutting-edge platform for researchers and industry professionals to explore the latest advancements in understanding and predicting material behavior across multiple length scales, with a focus on critical phenomena in metal forming. It will delve into innovative experimental techniques, computational methods, and theoretical frameworks that bridge the gap between microstructural mechanisms and macroscopic properties, addressing key challenges such as anisotropy, strain localization, springback, non-proportional strain paths, and fracture. Participants will have the opportunity to engage with experts in fields ranging from crystal plasticity and dislocation dynamics to continuum mechanics and data-driven modeling approaches, all aimed at improving our ability to predict and control complex material responses during forming processes.

Co-Chair:
Prof. Myoung-Gyu Lee, Department of Materials Science and Engineering, Seoul National University

Chair of Metal Forming and Casting, Technical University of Munich

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The mini-symposium invites papers that investigate the coupling of different modeling approaches in the field of sheet metal forming. This includes, for example, the use of data-driven material models in finite element simulations, the generation of synthetic data or surrogate models based on numerical analysis. The use of surrogate models as soft-sensors or in closed-loop control is also relevant for the mini-symposium.

Global Industry Manager Metal, ZwickRoell GmbH & Co.KG

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The demands on simulation accuracy and hence, the underlying material models are increasing. The basis for precise numerical predictions of material behaviour is a reliable experimental material characterization. This symposium addresses new and innovative approaches in material testing for the determination of material properties. These approaches should make it possible to determine material parameters that represent the true material behavior even more reliably and precisely and thus provide new possibilities for modeling. Scientific studies that deal with the new challenges in the material behavior of more complex materials (e.g. multiphase steels) also fit in here. Furthermore, experimental approaches are being looked for with which simulation models can be calibrated and validated in a smart and novel manner.

Co-Chair:
Dr.-Ing. Simon Vitzthum, Global Industry Manager Mobility, ZwickRoell GmbH & Co.KG

Institute for Metal Forming Technology, University of Stuttgart

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Improving manufacturing efficiency and conserving resources are vital in modern metal forming. To achieve sustainable and competitive production, the industry is focusing on digitalizing value chains and using advanced simulation software. However, stable process ramp-up in metal forming still demands significant expertise due to unpredictable process variations, which conventional methods like FEA and robustness analysis fail to address effectively. The German Research Foundation’s Priority Program 2422 (SPP 2422) aims to enhance metal forming active tool surface design through data-driven modeling, enabling better handling of non-linear phenomena in production. Thirteen research projects are exploring new concepts in data acquisition, mining, and automation for sheet and bulk metal forming, combining FEA results with data-driven models to improve tool active surface design and manage process noise impacts.

Portrait Mathias Liewald

AutoForm Engineering Sweden AB and Blekinge Institute of Technology

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