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Establishment of high-temperature fretting wear prediction model for metal rubber with complex helical network structure.
- Source :
-
Tribology International . Oct2023, Vol. 188, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- In this study, a high-temperature fretting wear prediction model was established for metal rubber, which was then validated through experiments. Initially, a three-dimensional numerical model of metal rubber was reconstructed, and statistical distribution of contact points and types of curved wires inside the virtual component was achieved. Meanwhile, a high-temperature fretting wear evolution model for curved wires was constructed by introducing a temperature function f(T), considering material thermal expansion, softening, and oxidation. Subsequently, the model was incorporated into the macro model, establishing a cross-scale predictive model for wear from micro-coil elements to component wear. Experimental validation demonstrated good prediction performance of the model, with a maximum wear mass prediction error of 14.81% and prediction errors below 10% for 80,000 cycles. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0301679X
- Volume :
- 188
- Database :
- Academic Search Index
- Journal :
- Tribology International
- Publication Type :
- Academic Journal
- Accession number :
- 171586163
- Full Text :
- https://doi.org/10.1016/j.triboint.2023.108778