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

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...

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Main Authors: Michael Caspari, Philipp Landkammer, Paul Steinmann
Format: Article
Language:English
Published: SpringerOpen 2018-05-01
Series:Advanced Modeling and Simulation in Engineering Sciences
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40323-018-0104-9
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spelling doaj-b34e20f2483d442fb011eaf2d659999c2020-11-25T00:40:02ZengSpringerOpenAdvanced Modeling and Simulation in Engineering Sciences2213-74672018-05-015111810.1186/s40323-018-0104-9A non-invasive node-based form finding approach with discretization-independent target configurationMichael Caspari0Philipp Landkammer1Paul Steinmann2Institute of Applied Mechanics, Friedrich Alexander UniversitätInstitute of Applied Mechanics, Friedrich Alexander UniversitätInstitute of Applied Mechanics, Friedrich Alexander UniversitätAbstract 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.http://link.springer.com/article/10.1186/s40323-018-0104-9Form findingShape optimizationMetal formingNon-invasive methodsInverse problems
collection DOAJ
language English
format Article
sources DOAJ
author Michael Caspari
Philipp Landkammer
Paul Steinmann
spellingShingle Michael Caspari
Philipp Landkammer
Paul Steinmann
A non-invasive node-based form finding approach with discretization-independent target configuration
Advanced Modeling and Simulation in Engineering Sciences
Form finding
Shape optimization
Metal forming
Non-invasive methods
Inverse problems
author_facet Michael Caspari
Philipp Landkammer
Paul Steinmann
author_sort Michael Caspari
title A non-invasive node-based form finding approach with discretization-independent target configuration
title_short A non-invasive node-based form finding approach with discretization-independent target configuration
title_full A non-invasive node-based form finding approach with discretization-independent target configuration
title_fullStr A non-invasive node-based form finding approach with discretization-independent target configuration
title_full_unstemmed A non-invasive node-based form finding approach with discretization-independent target configuration
title_sort non-invasive node-based form finding approach with discretization-independent target configuration
publisher SpringerOpen
series Advanced Modeling and Simulation in Engineering Sciences
issn 2213-7467
publishDate 2018-05-01
description 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.
topic Form finding
Shape optimization
Metal forming
Non-invasive methods
Inverse problems
url http://link.springer.com/article/10.1186/s40323-018-0104-9
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