Data-driven thermal safety threshold analysis of friction component based on macro-micro interaction model
Aiming at the temperature failure for wet friction pair within mechanical transmissions, this paper constructs a thermal-mechanical coupled simulation model to analyse the surface temperature field and proposes two types of characterization parameters for temperature field failure: the critical radi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25010810 |
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| Summary: | Aiming at the temperature failure for wet friction pair within mechanical transmissions, this paper constructs a thermal-mechanical coupled simulation model to analyse the surface temperature field and proposes two types of characterization parameters for temperature field failure: the critical radial temperature difference (Tr) and the adjacent circumferential temperature difference (Tθ). Taking into account the influence of rough surface micro-contact states on the wet friction pair temperature field, a single pair asperity contact model is constructed, and it interacts with the macro thermal-mechanical coupled simulation model in true-time. Based on the characterization parameters for temperature field obtained from the macro-micro friction contact model, this study develops a thermal safety threshold model to predict these parameters, and verifies its accuracy through accelerated life testing. Subsequently, the effect of pressure and speed on the failure characteristic parameters is investigated using the control variable method. The results indicate that the macro-micro friction contact model exhibits higher reliability and accuracy compared to the thermal-mechanical coupled simulation model. The average error of the thermal safety threshold model is 0.84 %. Additionally, the failure characteristic parameters are more sensitive to pressure variations. |
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| ISSN: | 2214-157X |