Predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing

Serjouei, A ORCID: https://orcid.org/0000-0002-7250-4131 and Afazov, S ORCID: https://orcid.org/0000-0001-5346-1933, 2022. Predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing. Heliyon, 8 (11): e11473. ISSN 2405-8440

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Abstract

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.

Item Type:	Journal article
Publication Title:	Heliyon
Creators:	Serjouei, A. and Afazov, S.
Publisher:	Elsevier
Date:	9 November 2022
Volume:	8
Number:	11
ISSN:	2405-8440
Identifiers:	Number Type 10.1016/j.heliyon.2022.e11473 DOI 1618267 Other
Rights:	© 2022 the authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	03 Jan 2023 16:23
Last Modified:	03 Jan 2023 16:23
URI:	https://irep.ntu.ac.uk/id/eprint/47726

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