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Fatigue Life Prediction of Machined Specimens with the Consideration of Surface Roughness
The fatigue strength and fatigue life of high-strength steels are greatly affected by their surface roughness. This study investigates the underlying mechanisms responsible for fatigue failure of the high-strength steel 42CrMo. Bending fatigue tests of stepped shafts with different levels of surface...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472297/ https://www.ncbi.nlm.nih.gov/pubmed/34576645 http://dx.doi.org/10.3390/ma14185420 |
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author | Zhu, Xiaochun Dong, Zhurong Zhang, Yachen Cheng, Zhengkun |
author_facet | Zhu, Xiaochun Dong, Zhurong Zhang, Yachen Cheng, Zhengkun |
author_sort | Zhu, Xiaochun |
collection | PubMed |
description | The fatigue strength and fatigue life of high-strength steels are greatly affected by their surface roughness. This study investigates the underlying mechanisms responsible for fatigue failure of the high-strength steel 42CrMo. Bending fatigue tests of stepped shafts with different levels of surface roughness were conducted to observe the fatigue live reduction affected by surface topography. Besides, the mechanical properties of 42CrMo and its strain–life relationship were established. Moreover, the analytical formulas to describe the stress concentration factor (SCF) and fatigue notch factor (FNF) induced by surface topography were introduced. To estimate the fatigue life of machined specimens with the consideration of surface roughness, the elastic portion of the total strain–life curve of the material was revised with the proposed analytical FNF imposed by surface topography. Comparisons between the estimated fatigue lives and experimentally obtained fatigue lives show that the effect of surface roughness on fatigue lives could be estimated effectively and conveniently by the proposed procedure. |
format | Online Article Text |
id | pubmed-8472297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84722972021-09-28 Fatigue Life Prediction of Machined Specimens with the Consideration of Surface Roughness Zhu, Xiaochun Dong, Zhurong Zhang, Yachen Cheng, Zhengkun Materials (Basel) Article The fatigue strength and fatigue life of high-strength steels are greatly affected by their surface roughness. This study investigates the underlying mechanisms responsible for fatigue failure of the high-strength steel 42CrMo. Bending fatigue tests of stepped shafts with different levels of surface roughness were conducted to observe the fatigue live reduction affected by surface topography. Besides, the mechanical properties of 42CrMo and its strain–life relationship were established. Moreover, the analytical formulas to describe the stress concentration factor (SCF) and fatigue notch factor (FNF) induced by surface topography were introduced. To estimate the fatigue life of machined specimens with the consideration of surface roughness, the elastic portion of the total strain–life curve of the material was revised with the proposed analytical FNF imposed by surface topography. Comparisons between the estimated fatigue lives and experimentally obtained fatigue lives show that the effect of surface roughness on fatigue lives could be estimated effectively and conveniently by the proposed procedure. MDPI 2021-09-19 /pmc/articles/PMC8472297/ /pubmed/34576645 http://dx.doi.org/10.3390/ma14185420 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhu, Xiaochun Dong, Zhurong Zhang, Yachen Cheng, Zhengkun Fatigue Life Prediction of Machined Specimens with the Consideration of Surface Roughness |
title | Fatigue Life Prediction of Machined Specimens with the Consideration of Surface Roughness |
title_full | Fatigue Life Prediction of Machined Specimens with the Consideration of Surface Roughness |
title_fullStr | Fatigue Life Prediction of Machined Specimens with the Consideration of Surface Roughness |
title_full_unstemmed | Fatigue Life Prediction of Machined Specimens with the Consideration of Surface Roughness |
title_short | Fatigue Life Prediction of Machined Specimens with the Consideration of Surface Roughness |
title_sort | fatigue life prediction of machined specimens with the consideration of surface roughness |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472297/ https://www.ncbi.nlm.nih.gov/pubmed/34576645 http://dx.doi.org/10.3390/ma14185420 |
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