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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| Format: | Article |
| Language: | English |
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Elsevier Ltd.
2017
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| Online Access: | 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 |
| _version_ | 1848820666970669056 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:13:05Z |
| format | Article |
| id | ump-18414 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:13:05Z |
| publishDate | 2017 |
| publisher | Elsevier Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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. (Published) https://doi.org/10.1016/j.engfailanal.2017.06.023 DOI: 10.1016/j.engfailanal.2017.06.023 |
| 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 |
| title | 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_short | 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 |
| topic | TJ Mechanical engineering and machinery |
| 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 |