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Structural optimisation for controlled deflections of additively manufactured single material beams
Closely controlling the mechanical behaviour and characterization of the deflection of a beam structure is a well-known and widely studied engineering problem. The progress in additive manufacturing methods and the possibilities to closely control the material property variations with the controlled...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147943/ https://www.ncbi.nlm.nih.gov/pubmed/37117482 http://dx.doi.org/10.1038/s41598-023-33946-x |
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author | Yang, Wuxin Behera, Malaya Prasad Lv, Yifan Huang, Loulin Singamneni, Sarat |
author_facet | Yang, Wuxin Behera, Malaya Prasad Lv, Yifan Huang, Loulin Singamneni, Sarat |
author_sort | Yang, Wuxin |
collection | PubMed |
description | Closely controlling the mechanical behaviour and characterization of the deflection of a beam structure is a well-known and widely studied engineering problem. The progress in additive manufacturing methods and the possibilities to closely control the material property variations with the controlled placement of materials further widen the opportunities to achieve given beam deflection criteria. The multi-material additive manufacturing solutions suffer from the lack of real engineering material options, and the quality and performance of the printed parts are usually unsuitable for producing functional parts. A novel cellular structured solution is proposed here, which utilises optimisation of geometries of individual cells of a single material structured beam to obtain deflection profiles closely matched with preset conditions under different loading conditions. The cellular geometry of the structured beam is continually altered for searching and converging on the optimal structure of the cells by the covariance matrix adaptation evolution strategy algorithm in an iterative manner. The optimised beam structures could also be physically produced with single material additive manufacturing methods and the experimental and numerical beam deflection responses correlated closely. |
format | Online Article Text |
id | pubmed-10147943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101479432023-04-30 Structural optimisation for controlled deflections of additively manufactured single material beams Yang, Wuxin Behera, Malaya Prasad Lv, Yifan Huang, Loulin Singamneni, Sarat Sci Rep Article Closely controlling the mechanical behaviour and characterization of the deflection of a beam structure is a well-known and widely studied engineering problem. The progress in additive manufacturing methods and the possibilities to closely control the material property variations with the controlled placement of materials further widen the opportunities to achieve given beam deflection criteria. The multi-material additive manufacturing solutions suffer from the lack of real engineering material options, and the quality and performance of the printed parts are usually unsuitable for producing functional parts. A novel cellular structured solution is proposed here, which utilises optimisation of geometries of individual cells of a single material structured beam to obtain deflection profiles closely matched with preset conditions under different loading conditions. The cellular geometry of the structured beam is continually altered for searching and converging on the optimal structure of the cells by the covariance matrix adaptation evolution strategy algorithm in an iterative manner. The optimised beam structures could also be physically produced with single material additive manufacturing methods and the experimental and numerical beam deflection responses correlated closely. Nature Publishing Group UK 2023-04-28 /pmc/articles/PMC10147943/ /pubmed/37117482 http://dx.doi.org/10.1038/s41598-023-33946-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yang, Wuxin Behera, Malaya Prasad Lv, Yifan Huang, Loulin Singamneni, Sarat Structural optimisation for controlled deflections of additively manufactured single material beams |
title | Structural optimisation for controlled deflections of additively manufactured single material beams |
title_full | Structural optimisation for controlled deflections of additively manufactured single material beams |
title_fullStr | Structural optimisation for controlled deflections of additively manufactured single material beams |
title_full_unstemmed | Structural optimisation for controlled deflections of additively manufactured single material beams |
title_short | Structural optimisation for controlled deflections of additively manufactured single material beams |
title_sort | structural optimisation for controlled deflections of additively manufactured single material beams |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147943/ https://www.ncbi.nlm.nih.gov/pubmed/37117482 http://dx.doi.org/10.1038/s41598-023-33946-x |
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