Numerical modeling of the low cycle fatigue: effect of manufacturing imperfections caused by machining process

The majority of mechanical components in nuclear power plants must be designed to withstand extreme cyclic loading conditions. In fact, when these components are subjected to low cycle fatigue, machining imperfections are considered one of the most significant factors limiting their service life. In...

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Autores principales:	Abarkan Ikram, Khamlichi Abdellatif, Shamass Rabee
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/6b8fb68d2ccb454885ebd8a8a8d4b7d0
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spelling	oai:doaj.org-article:6b8fb68d2ccb454885ebd8a8a8d4b7d02021-12-02T17:13:46ZNumerical modeling of the low cycle fatigue: effect of manufacturing imperfections caused by machining process2261-236X10.1051/matecconf/202134902011https://doaj.org/article/6b8fb68d2ccb454885ebd8a8a8d4b7d02021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/18/matecconf_iceaf2021_02011.pdfhttps://doaj.org/toc/2261-236XThe majority of mechanical components in nuclear power plants must be designed to withstand extreme cyclic loading conditions. In fact, when these components are subjected to low cycle fatigue, machining imperfections are considered one of the most significant factors limiting their service life. In the present work, using finite element analysis, a methodology has been suggested to predict the fatigue life of cylindrical parts made of 316 SS, at ambient temperature, under nominal strain amplitude ranging from ± 0.5 to ±1.2% with various surface roughness conditions. Two different multiaxial strain-life criteria have been considered to estimate the fatigue life, namely Brown-Miller and maximum shear strain. The comparison between the predicted and the experimental fatigue lifetimes has revealed that the adopted multiaxial strain life criteria can successfully estimate the fatigue life of 316 SS grade under uniaxial loading conditions. Furthermore, it has been found that the fatigue life decreases as the surface roughness average value increases, which indicates that surface regularities have a significant impact on low cycle fatigue life. Therefore, the proposed methodology is found to be capable of assessing the impact of surface roughness on the fatigue life of this specific steel in the low cycle fatigue regime.Abarkan IkramKhamlichi AbdellatifShamass RabeeEDP SciencesarticleEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 349, p 02011 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Abarkan Ikram Khamlichi Abdellatif Shamass Rabee Numerical modeling of the low cycle fatigue: effect of manufacturing imperfections caused by machining process
description	The majority of mechanical components in nuclear power plants must be designed to withstand extreme cyclic loading conditions. In fact, when these components are subjected to low cycle fatigue, machining imperfections are considered one of the most significant factors limiting their service life. In the present work, using finite element analysis, a methodology has been suggested to predict the fatigue life of cylindrical parts made of 316 SS, at ambient temperature, under nominal strain amplitude ranging from ± 0.5 to ±1.2% with various surface roughness conditions. Two different multiaxial strain-life criteria have been considered to estimate the fatigue life, namely Brown-Miller and maximum shear strain. The comparison between the predicted and the experimental fatigue lifetimes has revealed that the adopted multiaxial strain life criteria can successfully estimate the fatigue life of 316 SS grade under uniaxial loading conditions. Furthermore, it has been found that the fatigue life decreases as the surface roughness average value increases, which indicates that surface regularities have a significant impact on low cycle fatigue life. Therefore, the proposed methodology is found to be capable of assessing the impact of surface roughness on the fatigue life of this specific steel in the low cycle fatigue regime.
format	article
author	Abarkan Ikram Khamlichi Abdellatif Shamass Rabee
author_facet	Abarkan Ikram Khamlichi Abdellatif Shamass Rabee
author_sort	Abarkan Ikram
title	Numerical modeling of the low cycle fatigue: effect of manufacturing imperfections caused by machining process
title_short	Numerical modeling of the low cycle fatigue: effect of manufacturing imperfections caused by machining process
title_full	Numerical modeling of the low cycle fatigue: effect of manufacturing imperfections caused by machining process
title_fullStr	Numerical modeling of the low cycle fatigue: effect of manufacturing imperfections caused by machining process
title_full_unstemmed	Numerical modeling of the low cycle fatigue: effect of manufacturing imperfections caused by machining process
title_sort	numerical modeling of the low cycle fatigue: effect of manufacturing imperfections caused by machining process
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/6b8fb68d2ccb454885ebd8a8a8d4b7d0
work_keys_str_mv	AT abarkanikram numericalmodelingofthelowcyclefatigueeffectofmanufacturingimperfectionscausedbymachiningprocess AT khamlichiabdellatif numericalmodelingofthelowcyclefatigueeffectofmanufacturingimperfectionscausedbymachiningprocess AT shamassrabee numericalmodelingofthelowcyclefatigueeffectofmanufacturingimperfectionscausedbymachiningprocess
_version_	1718381323541807104

Numerical modeling of the low cycle fatigue: effect of manufacturing imperfections caused by machining process

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