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An improved fatigue life prediction model for shock absorber cylinder with surface roughness correction
- Source :
- Engineering Computations. 38:2713-2732
- Publication Year :
- 2021
- Publisher :
- Emerald, 2021.
-
Abstract
- Purpose The purpose of this paper is to obtain a more accurate fatigue life of structures by introducing the surface roughness into fatigue life prediction model. Design/methodology/approach Based on the fatigue life prediction model with surface roughness correction, the shock absorber cylinder is taken as an example to verify the feasibility of the improved method. Based on the load of the shock absorber cylinder during driving, fatigue experiments are performed under longitudinal and lateral forces, respectively. Then, the fatigue life predicted by the modified model is compared with that predicted by the traditional model. Findings By comparing with the test results, considering the influence of mean stress, the Manson method is more accurate in life prediction. Then, the modified Manson-Coffin and Manson method with surface roughness is more accurate in life prediction under longitudinal force and lateral forces, respectively. This verifies the feasibility of the improved method with the surface roughness. Originality/value The research on the influence of surface roughness on fatigue life can lay the technical foundation for the life prediction of products and have great significance to the quality evaluation of products.
- Subjects :
- Materials science
business.industry
General Engineering
Improved method
02 engineering and technology
Structural engineering
021001 nanoscience & nanotechnology
Computer Science Applications
Shock absorber
020303 mechanical engineering & transports
Mean stress
0203 mechanical engineering
Computational Theory and Mathematics
Surface roughness
Cylinder
0210 nano-technology
business
Software
Subjects
Details
- ISSN :
- 02644401
- Volume :
- 38
- Database :
- OpenAIRE
- Journal :
- Engineering Computations
- Accession number :
- edsair.doi...........3cc908ae2aada03576017c85ee850606
- Full Text :
- https://doi.org/10.1108/ec-05-2020-0263