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Erschienen 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

verfasst von: Maninder Sehmi, Jesper Christensen, Christophe Bastien, Stratis Kanarachos

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 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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Metadaten
Titel
Review of topology optimisation refinement processes for sheet metal manufacturing in the automotive industry
verfasst von
Maninder Sehmi
Jesper Christensen
Christophe Bastien
Stratis Kanarachos
Publikationsdatum
02.01.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 1/2018
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-017-1876-0

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