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Published in: Structural and Multidisciplinary Optimization 1/2018

02-01-2018 | REVIEW PAPER

Review of topology optimisation refinement processes for sheet metal manufacturing in the automotive industry

Authors: Maninder Sehmi, Jesper Christensen, Christophe Bastien, Stratis Kanarachos

Published in: Structural and Multidisciplinary Optimization | Issue 1/2018

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Abstract

Topology optimisation is a process that is becoming increasingly reliable and necessary in the pursuit of highly efficient components comprising of low mass with a high structural performance. These components are typically mass-produced on a large-scale in automotive sectors for instance, where components are usually metallic and pressed. The ability to maximise a component’s structural characteristics has yielded many variations of computational topological solvers over the years. Over time many different methodologies have been used to generate suitable manufacturable solutions. Despite this, a gap between the generation of topology optimisation solutions and the creation of ready-to-manufacture solutions still exists today. This review paper outlines existing methods for computational topology optimisation and addresses any refinement methods used to generate a manufacturable solution, particularly focussing on methodologies used in automotive sheet metal forming. These methods are scrutinised in regards to the level of manual user input needed to create a Computer Aided Design (CAD) model representation of the manufacturable solution. Suggestions are also made to highlight further work to improve these techniques for large-scale industry-standard product development.

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Metadata
Title
Review of topology optimisation refinement processes for sheet metal manufacturing in the automotive industry
Authors
Maninder Sehmi
Jesper Christensen
Christophe Bastien
Stratis Kanarachos
Publication date
02-01-2018
Publisher
Springer Berlin Heidelberg
Published in
Structural and Multidisciplinary Optimization / Issue 1/2018
Print ISSN: 1615-147X
Electronic ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-017-1876-0

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