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Predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing
This work develops a predictive model of S–N curves capable of proving the lower and upper bounds for fatigue behaviour of parts fabricated using different metal laser-based additive manufacturing (AM) and post-processing technologies. Alongside the ultimate strength of the material and its enduranc...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668690/ https://www.ncbi.nlm.nih.gov/pubmed/36406678 http://dx.doi.org/10.1016/j.heliyon.2022.e11473 |
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author | Serjouei, Ahmad Afazov, Shukri |
author_facet | Serjouei, Ahmad Afazov, Shukri |
author_sort | Serjouei, Ahmad |
collection | PubMed |
description | This work develops a predictive model of S–N curves capable of proving the lower and upper bounds for fatigue behaviour of parts fabricated using different metal laser-based additive manufacturing (AM) and post-processing technologies. Alongside the ultimate strength of the material and its endurance limit, a surface factor and a defect factor are incorporated in the model to consider the effects of the AM process induced defects on the S–N curves. The model is correlated to comprehensive load-controlled fatigue experimental data from the literature for 316L stainless steel (SS) samples manufactured using metal laser-based AM technologies of various process and post-process conditions. It was demonstrated that the proposed model can capture and represent the effects of the induced defects as well as the mean stress effect. The value of the proposed model is that it can be integrated into existing industrial design workflows for fatigue assessment of AM 316L SS. Furthermore, it has the potential to be extended to other AM materials. |
format | Online Article Text |
id | pubmed-9668690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96686902022-11-18 Predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing Serjouei, Ahmad Afazov, Shukri Heliyon Research Article This work develops a predictive model of S–N curves capable of proving the lower and upper bounds for fatigue behaviour of parts fabricated using different metal laser-based additive manufacturing (AM) and post-processing technologies. Alongside the ultimate strength of the material and its endurance limit, a surface factor and a defect factor are incorporated in the model to consider the effects of the AM process induced defects on the S–N curves. The model is correlated to comprehensive load-controlled fatigue experimental data from the literature for 316L stainless steel (SS) samples manufactured using metal laser-based AM technologies of various process and post-process conditions. It was demonstrated that the proposed model can capture and represent the effects of the induced defects as well as the mean stress effect. The value of the proposed model is that it can be integrated into existing industrial design workflows for fatigue assessment of AM 316L SS. Furthermore, it has the potential to be extended to other AM materials. Elsevier 2022-11-10 /pmc/articles/PMC9668690/ /pubmed/36406678 http://dx.doi.org/10.1016/j.heliyon.2022.e11473 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Serjouei, Ahmad Afazov, Shukri Predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing |
title | Predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing |
title_full | Predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing |
title_fullStr | Predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing |
title_full_unstemmed | Predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing |
title_short | Predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing |
title_sort | predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668690/ https://www.ncbi.nlm.nih.gov/pubmed/36406678 http://dx.doi.org/10.1016/j.heliyon.2022.e11473 |
work_keys_str_mv | AT serjoueiahmad predictivemodeltodesignforhighcyclefatigueofstainlesssteelsproducedbymetaladditivemanufacturing AT afazovshukri predictivemodeltodesignforhighcyclefatigueofstainlesssteelsproducedbymetaladditivemanufacturing |