A non-invasive node-based form finding approach with discretization-independent target configuration

Caspari, M., Landkammer, P. and Steinmann, P. (2018) A non-invasive node-based form finding approach with discretization-independent target configuration. Advanced Modeling and Simulation in Engineering Sciences, 5, 11. (doi: 10.1186/s40323-018-0104-9)

Abstract

Form finding is used to optimize the shape of a semi-finished product, i.e. the material configuration in a forming process. The geometry of the semi-finished product is adapted so that the computed spatial configuration corresponds to a prescribed target spatial configuration. Differences between these two configurations are iteratively minimized. The algorithm works non-invasively, thus there is a strict separation between the form update and the finite element (FE) forming simulation. This separation allows the use of arbitrary commercial FE-solvers. In particular, there is no need for a modification of the FE forming simulation, only the material configuration is iteratively updated. A new method is introduced to calculate the difference between the target and the computed spatial configuration. Thereby the target mesh is separated from the mesh for the FE forming simulation, which enables a more accurate and independent representation of the target configuration. In addition, the possibility of taking into account manufacturing constraints in the optimization process is presented. The procedure is illustrated for the example of the first stage of a novel two-stage sheet-bulk metal forming process.

• Item Type: Articles
• Additional Information: Funding: This work is part of the DFG-funded collaborative research project: manufacturing of complex functional components with variants by using a new metal forming process—sheet-bulk metal forming (SFB/TR73: http://www.tr-73.de).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Steinmann, Professor Paul
• Authors: Caspari, M., Landkammer, P., and Steinmann, P.
• College/School: College of Science and Engineering > School of Engineering > Infrastructure and Environment
• Journal Name: Advanced Modeling and Simulation in Engineering Sciences
• Publisher: Springer Open
• ISSN: 2213-7467
• ISSN (Online): 2213-7467
• Published Online: 08 May 2018
• Copyright Holders: Copyright © 2018 The Authors
• First Published: First published in Advanced Modeling and Simulation in Engineering Sciences 5:11
• Publisher Policy: Reproduced under a Creative Commons license