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Crystal plasticity simulations with representative volume element of as-build laser powder bed fusion materials
Additive manufacturing of as-build metal materials with laser powder bed fusion typically leads to the formations of various chemical phases and their corresponding microstructure types. Such microstructures have very complex shape and size anisotropic distributions due to the history of the laser h...
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/PMC10663526/ https://www.ncbi.nlm.nih.gov/pubmed/37989841 http://dx.doi.org/10.1038/s41598-023-47651-2 |
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author | Bulgarevich, Dmitry S. Nomoto, Sukeharu Watanabe, Makoto Demura, Masahiko |
author_facet | Bulgarevich, Dmitry S. Nomoto, Sukeharu Watanabe, Makoto Demura, Masahiko |
author_sort | Bulgarevich, Dmitry S. |
collection | PubMed |
description | Additive manufacturing of as-build metal materials with laser powder bed fusion typically leads to the formations of various chemical phases and their corresponding microstructure types. Such microstructures have very complex shape and size anisotropic distributions due to the history of the laser heat gradients and scanning patterns. With higher complexity compared to the post-heat-treated materials, the synthetic volume reconstruction of as-build materials for accurate modelling of their mechanical properties is a serious challenge. Here, we present an example of complete workflow pipeline for such nontrivial task. It takes into account the statistical distributions of microstructures: object sizes for each phase, several shape parameters for each microstructure type, and their morphological and crystallographic orientations. In principle, each step in the pipeline, including the parameters in the crystal plasticity model, can be fine-tuned to achieve suitable correspondence between experimental and synthetic microstructures as well as between experimental stress–strain curves and simulated results. To our best knowledge, this work represents an example of the most challenging synthetic volume reconstruction for as-build additive manufacturing materials to date. |
format | Online Article Text |
id | pubmed-10663526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106635262023-11-21 Crystal plasticity simulations with representative volume element of as-build laser powder bed fusion materials Bulgarevich, Dmitry S. Nomoto, Sukeharu Watanabe, Makoto Demura, Masahiko Sci Rep Article Additive manufacturing of as-build metal materials with laser powder bed fusion typically leads to the formations of various chemical phases and their corresponding microstructure types. Such microstructures have very complex shape and size anisotropic distributions due to the history of the laser heat gradients and scanning patterns. With higher complexity compared to the post-heat-treated materials, the synthetic volume reconstruction of as-build materials for accurate modelling of their mechanical properties is a serious challenge. Here, we present an example of complete workflow pipeline for such nontrivial task. It takes into account the statistical distributions of microstructures: object sizes for each phase, several shape parameters for each microstructure type, and their morphological and crystallographic orientations. In principle, each step in the pipeline, including the parameters in the crystal plasticity model, can be fine-tuned to achieve suitable correspondence between experimental and synthetic microstructures as well as between experimental stress–strain curves and simulated results. To our best knowledge, this work represents an example of the most challenging synthetic volume reconstruction for as-build additive manufacturing materials to date. Nature Publishing Group UK 2023-11-21 /pmc/articles/PMC10663526/ /pubmed/37989841 http://dx.doi.org/10.1038/s41598-023-47651-2 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 Bulgarevich, Dmitry S. Nomoto, Sukeharu Watanabe, Makoto Demura, Masahiko Crystal plasticity simulations with representative volume element of as-build laser powder bed fusion materials |
title | Crystal plasticity simulations with representative volume element of as-build laser powder bed fusion materials |
title_full | Crystal plasticity simulations with representative volume element of as-build laser powder bed fusion materials |
title_fullStr | Crystal plasticity simulations with representative volume element of as-build laser powder bed fusion materials |
title_full_unstemmed | Crystal plasticity simulations with representative volume element of as-build laser powder bed fusion materials |
title_short | Crystal plasticity simulations with representative volume element of as-build laser powder bed fusion materials |
title_sort | crystal plasticity simulations with representative volume element of as-build laser powder bed fusion materials |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663526/ https://www.ncbi.nlm.nih.gov/pubmed/37989841 http://dx.doi.org/10.1038/s41598-023-47651-2 |
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