Fatigue life prediction of leaf spring through multi mean S-N approach

Y. S. Kong, Mohd. Zaidi Omar, L. B. Chua, Shahrum Abdullah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Parabolic leaf spring is a suspension component for heavy vehicles where spring itself experiences repeated cyclic loading under operating condition. Fatigue life of the parabolic leaf spring is vital since the deflection of the spring is large and continuous. To determine the fatigue life of the parabolic leaf spring, material properties input to the design is important. The objective of this study is to predict the fatigue life of a parabolic leaf spring based on two different material grades which are SAE 5160 and SAE 51B60H under constant amplitude loading through various mean stress method. SAE 51B60H is the material with slightly higher carbon, manganese and chromium content compared to material SAE 5160. Chemical composition differences between SAE 5160 and SAE 51B60H have significant effects on the mechanical properties and fatigue life. In this analysis, finite element method together with multi mean curve stress life (S-N) approach has been implemented to estimate the fatigue life of the spring. Goodman, Gerber and Interpolate mean stress correction method were adopted to correct the damage calculation for mean stress. The results show that interpolate and Goodman method predict the fatigue life of the material with higher accuracy. On the other hand, material SAE 51B60H yields higher fatigue life compared to material SAE 5160.

Original languageEnglish
Title of host publicationApplied Mechanics and Materials
PublisherTrans Tech Publications Ltd
Pages83-87
Number of pages5
Volume663
ISBN (Print)9783038352617
DOIs
Publication statusPublished - 2014
Event2nd International Conference on Recent Advances in Automotive Engineering and Mobility Research, ReCAR 2013 - Kuala Lumpur
Duration: 16 Dec 201318 Dec 2013

Publication series

NameApplied Mechanics and Materials
Volume663
ISSN (Print)16609336
ISSN (Electronic)16627482

Other

Other2nd International Conference on Recent Advances in Automotive Engineering and Mobility Research, ReCAR 2013
CityKuala Lumpur
Period16/12/1318/12/13

Fingerprint

Leaf springs
Fatigue of materials
Vehicle springs
Suspensions (components)
Manganese
Chromium
Materials properties
Finite element method
Mechanical properties
Carbon
Chemical analysis

Keywords

  • Fatigue life
  • Leaf spring
  • Stress-life method

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Kong, Y. S., Omar, M. Z., Chua, L. B., & Abdullah, S. (2014). Fatigue life prediction of leaf spring through multi mean S-N approach. In Applied Mechanics and Materials (Vol. 663, pp. 83-87). (Applied Mechanics and Materials; Vol. 663). Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/AMM.663.83

Fatigue life prediction of leaf spring through multi mean S-N approach. / Kong, Y. S.; Omar, Mohd. Zaidi; Chua, L. B.; Abdullah, Shahrum.

Applied Mechanics and Materials. Vol. 663 Trans Tech Publications Ltd, 2014. p. 83-87 (Applied Mechanics and Materials; Vol. 663).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kong, YS, Omar, MZ, Chua, LB & Abdullah, S 2014, Fatigue life prediction of leaf spring through multi mean S-N approach. in Applied Mechanics and Materials. vol. 663, Applied Mechanics and Materials, vol. 663, Trans Tech Publications Ltd, pp. 83-87, 2nd International Conference on Recent Advances in Automotive Engineering and Mobility Research, ReCAR 2013, Kuala Lumpur, 16/12/13. https://doi.org/10.4028/www.scientific.net/AMM.663.83
Kong YS, Omar MZ, Chua LB, Abdullah S. Fatigue life prediction of leaf spring through multi mean S-N approach. In Applied Mechanics and Materials. Vol. 663. Trans Tech Publications Ltd. 2014. p. 83-87. (Applied Mechanics and Materials). https://doi.org/10.4028/www.scientific.net/AMM.663.83
Kong, Y. S. ; Omar, Mohd. Zaidi ; Chua, L. B. ; Abdullah, Shahrum. / Fatigue life prediction of leaf spring through multi mean S-N approach. Applied Mechanics and Materials. Vol. 663 Trans Tech Publications Ltd, 2014. pp. 83-87 (Applied Mechanics and Materials).
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