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Modelled optimisation approaches for laser cutting sheets simultaneously applied to EV component production
This paper proposes that laser cutting has potential as a viable alternative to stamping for mass manufacture of thin steel components such as stator and rotor components in the electric automotive sector. Current laser cutting processes are much less efficient than stamping. However, laser cutting...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586371/ https://www.ncbi.nlm.nih.gov/pubmed/36269709 http://dx.doi.org/10.1371/journal.pone.0275966 |
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author | Dodd, Nathan Goodall, Russell Ballantyne, Erica Heron, Graeme |
author_facet | Dodd, Nathan Goodall, Russell Ballantyne, Erica Heron, Graeme |
author_sort | Dodd, Nathan |
collection | PubMed |
description | This paper proposes that laser cutting has potential as a viable alternative to stamping for mass manufacture of thin steel components such as stator and rotor components in the electric automotive sector. Current laser cutting processes are much less efficient than stamping. However, laser cutting is much more flexible and is used for small batches and one-off production. This paper assesses the potential of performing laser cutting operations of multiple sheets or layers simultaneously. This method is referred to herein as polystromata cutting. A numerical model is used to assess the manufacturing performance of stamping, traditional laser cutting and polystromata laser cutting. Polystromata laser cutting is shown to be capable of producing parts at 37% less cost than stamping. However, polystromata remains slower than stamping, taking 79% more time to produce each stator stack. Through this research it has been identified that optimisation of polystromata processes is more complex and performance efficiency varies wildly dependent on manufacturing set-up. This work aims to provide a best practice optimisation methodology for polystromata laser cutting by assessing results using different manufacturing objectives. |
format | Online Article Text |
id | pubmed-9586371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-95863712022-10-22 Modelled optimisation approaches for laser cutting sheets simultaneously applied to EV component production Dodd, Nathan Goodall, Russell Ballantyne, Erica Heron, Graeme PLoS One Research Article This paper proposes that laser cutting has potential as a viable alternative to stamping for mass manufacture of thin steel components such as stator and rotor components in the electric automotive sector. Current laser cutting processes are much less efficient than stamping. However, laser cutting is much more flexible and is used for small batches and one-off production. This paper assesses the potential of performing laser cutting operations of multiple sheets or layers simultaneously. This method is referred to herein as polystromata cutting. A numerical model is used to assess the manufacturing performance of stamping, traditional laser cutting and polystromata laser cutting. Polystromata laser cutting is shown to be capable of producing parts at 37% less cost than stamping. However, polystromata remains slower than stamping, taking 79% more time to produce each stator stack. Through this research it has been identified that optimisation of polystromata processes is more complex and performance efficiency varies wildly dependent on manufacturing set-up. This work aims to provide a best practice optimisation methodology for polystromata laser cutting by assessing results using different manufacturing objectives. Public Library of Science 2022-10-21 /pmc/articles/PMC9586371/ /pubmed/36269709 http://dx.doi.org/10.1371/journal.pone.0275966 Text en © 2022 Dodd et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Dodd, Nathan Goodall, Russell Ballantyne, Erica Heron, Graeme Modelled optimisation approaches for laser cutting sheets simultaneously applied to EV component production |
title | Modelled optimisation approaches for laser cutting sheets simultaneously applied to EV component production |
title_full | Modelled optimisation approaches for laser cutting sheets simultaneously applied to EV component production |
title_fullStr | Modelled optimisation approaches for laser cutting sheets simultaneously applied to EV component production |
title_full_unstemmed | Modelled optimisation approaches for laser cutting sheets simultaneously applied to EV component production |
title_short | Modelled optimisation approaches for laser cutting sheets simultaneously applied to EV component production |
title_sort | modelled optimisation approaches for laser cutting sheets simultaneously applied to ev component production |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586371/ https://www.ncbi.nlm.nih.gov/pubmed/36269709 http://dx.doi.org/10.1371/journal.pone.0275966 |
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