The Needs of Understanding Stochastic Fatigue Failure For The Automobile Crankshaft: A Review

This paper reviews the fatigue failure mechanisms for the automobile crankshaft under service loading through the stochastic point of view. Fatigue failure of crankshafts are reviewed in general, as it is a major concern due to the uncertainties that arise i.e. randomness in structural materials, th...

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Main Authors:	Nik Abdullah, Nik Mohamed, Singh, S.S.K., S., Abdullah
Format:	Article
Language:	English
Published:	Elsevier Ltd. 2017
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/18414/ http://umpir.ump.edu.my/id/eprint/18414/ http://umpir.ump.edu.my/id/eprint/18414/ http://umpir.ump.edu.my/id/eprint/18414/1/The%20needs%20of%20understanding%20stochastic%20fatigue%20failure%20for%20the%20automobile%20crankshaft%20A%20review.pdf

id	ump-18414
recordtype	eprints
spelling	ump-184142018-01-24T07:12:17Z http://umpir.ump.edu.my/id/eprint/18414/ The Needs of Understanding Stochastic Fatigue Failure For The Automobile Crankshaft: A Review Nik Abdullah, Nik Mohamed Singh, S.S.K. S., Abdullah TJ Mechanical engineering and machinery This paper reviews the fatigue failure mechanisms for the automobile crankshaft under service loading through the stochastic point of view. Fatigue failure of crankshafts are reviewed in general, as it is a major concern due to the uncertainties that arise i.e. randomness in structural materials, the geometric shape of the component and randomness of service loads. There has been very little research carried out in assessing the fatigue failure using the stochastic process in predicting the fatigue life of crankshafts. This review paper discusses the durability aspects of the component and is followed by a review of the characteristics of loading and the stochastic fatigue failure effect on the components. In addition, the stochastic approach from empirical model aspect using a safe-life approach from the more recent advances in computational methods to assess stochastic fatigue failure was discussed and reviewed in the context of this paper. The integration between the empirical and probabilistic methods can be quantified using statistical models, which evaluate the damage that leads to fatigue and eventually fatigue failure. Hence, this review provides a platform for understanding the stochastic fatigue failure for an accurate predictive prediction on the structural integrity of components, especially in the automobile industry. Elsevier Ltd. 2017-10 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18414/1/The%20needs%20of%20understanding%20stochastic%20fatigue%20failure%20for%20the%20automobile%20crankshaft%20A%20review.pdf Nik Abdullah, Nik Mohamed and Singh, S.S.K. and S., Abdullah (2017) The Needs of Understanding Stochastic Fatigue Failure For The Automobile Crankshaft: A Review. Engineering Failure Analysis, 80. pp. 464-471. ISSN 1350-6307 https://doi.org/10.1016/j.engfailanal.2017.06.023 DOI: 10.1016/j.engfailanal.2017.06.023
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Nik Abdullah, Nik Mohamed Singh, S.S.K. S., Abdullah The Needs of Understanding Stochastic Fatigue Failure For The Automobile Crankshaft: A Review
description	This paper reviews the fatigue failure mechanisms for the automobile crankshaft under service loading through the stochastic point of view. Fatigue failure of crankshafts are reviewed in general, as it is a major concern due to the uncertainties that arise i.e. randomness in structural materials, the geometric shape of the component and randomness of service loads. There has been very little research carried out in assessing the fatigue failure using the stochastic process in predicting the fatigue life of crankshafts. This review paper discusses the durability aspects of the component and is followed by a review of the characteristics of loading and the stochastic fatigue failure effect on the components. In addition, the stochastic approach from empirical model aspect using a safe-life approach from the more recent advances in computational methods to assess stochastic fatigue failure was discussed and reviewed in the context of this paper. The integration between the empirical and probabilistic methods can be quantified using statistical models, which evaluate the damage that leads to fatigue and eventually fatigue failure. Hence, this review provides a platform for understanding the stochastic fatigue failure for an accurate predictive prediction on the structural integrity of components, especially in the automobile industry.
format	Article
author	Nik Abdullah, Nik Mohamed Singh, S.S.K. S., Abdullah
author_facet	Nik Abdullah, Nik Mohamed Singh, S.S.K. S., Abdullah
author_sort	Nik Abdullah, Nik Mohamed
title	The Needs of Understanding Stochastic Fatigue Failure For The Automobile Crankshaft: A Review
title_short	The Needs of Understanding Stochastic Fatigue Failure For The Automobile Crankshaft: A Review
title_full	The Needs of Understanding Stochastic Fatigue Failure For The Automobile Crankshaft: A Review
title_fullStr	The Needs of Understanding Stochastic Fatigue Failure For The Automobile Crankshaft: A Review
title_full_unstemmed	The Needs of Understanding Stochastic Fatigue Failure For The Automobile Crankshaft: A Review
title_sort	needs of understanding stochastic fatigue failure for the automobile crankshaft: a review
publisher	Elsevier Ltd.
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/18414/ http://umpir.ump.edu.my/id/eprint/18414/ http://umpir.ump.edu.my/id/eprint/18414/ http://umpir.ump.edu.my/id/eprint/18414/1/The%20needs%20of%20understanding%20stochastic%20fatigue%20failure%20for%20the%20automobile%20crankshaft%20A%20review.pdf
first_indexed	2023-09-18T22:26:05Z
last_indexed	2023-09-18T22:26:05Z
_version_	1777415975169163264

The Needs of Understanding Stochastic Fatigue Failure For The Automobile Crankshaft: A Review

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