Fatigue Life Estimation Models: A State of the Art

In this paper, a state of the art of recently proposed fatigue prediction models has been conducted. The modified Wöhler curve method (MWCM) with a critical plane model utilizing the maximum variance method (MVM), and an endurance function model utilizing a stress invariant are studied for fatigue l...

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Main Authors: Kamal, M., M. M., Rahman
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2014
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Online Access:http://umpir.ump.edu.my/id/eprint/8177/1/10_Kamal_and_Rahman.pdf
http://umpir.ump.edu.my/id/eprint/8177/
http://dx.doi.org/10.15282/ijame.9.2014.10.0132
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Institution: Universiti Malaysia Pahang
Language: English
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spelling my.ump.umpir.81772018-01-25T03:09:59Z http://umpir.ump.edu.my/id/eprint/8177/ Fatigue Life Estimation Models: A State of the Art Kamal, M. M. M., Rahman TJ Mechanical engineering and machinery In this paper, a state of the art of recently proposed fatigue prediction models has been conducted. The modified Wöhler curve method (MWCM) with a critical plane model utilizing the maximum variance method (MVM), and an endurance function model utilizing a stress invariant are studied for fatigue life evaluation. The results are compared with experimental results as well as results from already established fatigue models using a fatigue life estimation tool. The study shows that new models have good accuracy that is approximately the same as for the established models, and are easy to apply in various conditions like multiaxial and variable amplitude loading conditions, which is a limitation of the older models. It is concluded that the newly formulated models are a promising development and should be studied in detail to make their application simpler with complex real-world problems. Universiti Malaysia Pahang 2014-06-30 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/8177/1/10_Kamal_and_Rahman.pdf Kamal, M. and M. M., Rahman (2014) Fatigue Life Estimation Models: A State of the Art. International Journal of Automotive and Mechanical Engineering (IJAME), 9. pp. 1599-1608. ISSN 1985-9325(Print); 2180-1606 (Online) http://dx.doi.org/10.15282/ijame.9.2014.10.0132 DOI: 10.15282/ijame.9.2014.10.0132
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Kamal, M.
M. M., Rahman
Fatigue Life Estimation Models: A State of the Art
description In this paper, a state of the art of recently proposed fatigue prediction models has been conducted. The modified Wöhler curve method (MWCM) with a critical plane model utilizing the maximum variance method (MVM), and an endurance function model utilizing a stress invariant are studied for fatigue life evaluation. The results are compared with experimental results as well as results from already established fatigue models using a fatigue life estimation tool. The study shows that new models have good accuracy that is approximately the same as for the established models, and are easy to apply in various conditions like multiaxial and variable amplitude loading conditions, which is a limitation of the older models. It is concluded that the newly formulated models are a promising development and should be studied in detail to make their application simpler with complex real-world problems.
format Article
author Kamal, M.
M. M., Rahman
author_facet Kamal, M.
M. M., Rahman
author_sort Kamal, M.
title Fatigue Life Estimation Models: A State of the Art
title_short Fatigue Life Estimation Models: A State of the Art
title_full Fatigue Life Estimation Models: A State of the Art
title_fullStr Fatigue Life Estimation Models: A State of the Art
title_full_unstemmed Fatigue Life Estimation Models: A State of the Art
title_sort fatigue life estimation models: a state of the art
publisher Universiti Malaysia Pahang
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/8177/1/10_Kamal_and_Rahman.pdf
http://umpir.ump.edu.my/id/eprint/8177/
http://dx.doi.org/10.15282/ijame.9.2014.10.0132
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