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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...

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Detalles Bibliográficos
Autores principales: Serjouei, Ahmad, Afazov, Shukri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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.
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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
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AT afazovshukri predictivemodeltodesignforhighcyclefatigueofstainlesssteelsproducedbymetaladditivemanufacturing