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Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters

This paper presents the capability of acoustic emission (AE) technique to predict the fatigue life of SAE 1045 carbon steel using a newly formulated statistical distribution. The specific AE parameters and the number of cycles to failure of the tested specimens were correlated using the Weibull dist...

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Main Authors: Mohammad, Mazian, Abdullah, Shahrum, Jamaludin, Nordin, Inayatullah, Othman
Format: Article
Published: Elsevier 2014
Online Access:http://psasir.upm.edu.my/id/eprint/34990/
http://www.sciencedirect.com/science/article/pii/S026130691300873X
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spelling my.upm.eprints.349902015-12-25T07:57:19Z http://psasir.upm.edu.my/id/eprint/34990/ Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters Mohammad, Mazian Abdullah, Shahrum Jamaludin, Nordin Inayatullah, Othman This paper presents the capability of acoustic emission (AE) technique to predict the fatigue life of SAE 1045 carbon steel using a newly formulated statistical distribution. The specific AE parameters and the number of cycles to failure of the tested specimens were correlated using the Weibull distribution approach. The AE and strain signals were experimentally measured using the AE sensor and strain gauge respectively, with the sensors attached to the specimen during the cyclic test at several stress levels of constant amplitude loadings. The empirical model developed from the newly developed h–N curve, in correlation to the AE hits-number and cycles to failure, suggested that the AE technique has the potential to assess fatigue life for SAE 1045 carbon steel. Also, the validation results presented in the Weibull probability distribution technique are presented in the end of this paper. Elsevier 2014-02 Article PeerReviewed Mohammad, Mazian and Abdullah, Shahrum and Jamaludin, Nordin and Inayatullah, Othman (2014) Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters. Materials and Design, 54. pp. 1039-1048. ISSN 0264-1275; ESSN: 1873-4197 http://www.sciencedirect.com/science/article/pii/S026130691300873X 10.1016/j.matdes.2013.09.021
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description This paper presents the capability of acoustic emission (AE) technique to predict the fatigue life of SAE 1045 carbon steel using a newly formulated statistical distribution. The specific AE parameters and the number of cycles to failure of the tested specimens were correlated using the Weibull distribution approach. The AE and strain signals were experimentally measured using the AE sensor and strain gauge respectively, with the sensors attached to the specimen during the cyclic test at several stress levels of constant amplitude loadings. The empirical model developed from the newly developed h–N curve, in correlation to the AE hits-number and cycles to failure, suggested that the AE technique has the potential to assess fatigue life for SAE 1045 carbon steel. Also, the validation results presented in the Weibull probability distribution technique are presented in the end of this paper.
format Article
author Mohammad, Mazian
Abdullah, Shahrum
Jamaludin, Nordin
Inayatullah, Othman
spellingShingle Mohammad, Mazian
Abdullah, Shahrum
Jamaludin, Nordin
Inayatullah, Othman
Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters
author_facet Mohammad, Mazian
Abdullah, Shahrum
Jamaludin, Nordin
Inayatullah, Othman
author_sort Mohammad, Mazian
title Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters
title_short Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters
title_full Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters
title_fullStr Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters
title_full_unstemmed Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters
title_sort predicting the fatigue life of the sae 1045 steel using an empirical weibull-based model associated to acoustic emission parameters
publisher Elsevier
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/34990/
http://www.sciencedirect.com/science/article/pii/S026130691300873X
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score 13.211869

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