Abstract
A comprehensive modeling strategy for studying the thermomechanical tribological behaviors is proposed in this work. The wear degradation considering the influence of temperature (T) is predicted by Archard wear model with the help of the UMESHMOTION subroutine and arbitrary Lagrangian–Eulerian (ALE) remeshing technique. Adopting the proposed method, the thermomechanical tribological behaviors of railway vehicle disc brake system composed of forged steel brake disc and Cu-based powder metallurgy (PM) friction block are studied systematically. The effectiveness of the proposed methodology is validated by experimental test on a self-designed scaled brake test bench from the perspectives of interface temperature, wear degradation, friction noise and vibration, and contact status evolution. This work can provide an effective way for the investigation of thermomechanical tribological behaviors in the engineering field.
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Abbreviations
- dA :
-
Local contact area
- ds :
-
Increment of relative sliding distance
- dV :
-
Increment of removed material volume
- dλ :
-
Increment of wear depth
- F :
-
Braking force
- F N :
-
Normal force
- H :
-
Hardness
- L :
-
Loading condition
- M :
-
Material type
- p :
-
Local pressure
- ρ ∀ :
-
Nominal contact pressure
- q d :
-
Heat flux into the brake disc
- q p :
-
Heat flux into the friction block
- q total :
-
Total heat flux
- r :
-
Friction radius
- r ep :
-
Equivalent friction radius
- S :
-
Contact area
- T :
-
Temperature
- T i :
-
Temperature at a certain moment
- x(t):
-
Vibration displacement
- α :
-
Real part of feature vector
- γ :
-
Distribution coefficient of heat flux
- η :
-
Energy conversion coefficient
- κ :
-
Dimensional wear coefficient
- κ i :
-
Dimensional wear coefficient at specific condition
- λ :
-
Accumulated wear depth
- μ :
-
Friction coefficient (COF)
- ξ :
-
Dimensionless wear coefficient
- ϕ :
-
Eigenvector
- ψ :
-
Eigenvalue
- ω :
-
Imaginary portion of feature vector (frequency)
- ω(t):
-
Angular velocity of the brake disc
- Ϟ :
-
Acceleration factor
- [C]:
-
Damping matrix
- [M]:
-
Mass matrix
- [K]:
-
Stiffness matrix
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Acknowledgements
The authors are grateful for the financial support of the National Natural Science Foundation of China (52105160 and U22A20181), the Natural Science Foundation of Sichuan Province (2022NSFSC1877), China Postdoctoral Science Foundation (2022M720537), and the Fundamental Research Funds for the Central Universities (2682021CX028).
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Jiabao YIN. He received his M.S. degree in mechanical engineering in 2022 from Southwest Jiaotong University, China. Now, he is a Ph.D. student at State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, China. His research interests include thermo-mechanical wear, tribo-dynamics, and multi-scale lubrication.
Chun LU. He received his M.S. degree in transportation engineering in 2015 from Southwest Jiaotong University, China. After then, he received his Ph.D. degree in applied engineering from University of Navarra, Spain, in 2018. His current position is an assistant professor at Southwest Jiaotong University, China. His research interests include multiaxial fatigue and thermomechanical friction and wear.
Jiliang MO. He received his M.S. and Ph.D. degrees in mechanical design and theory from Southwest Jiaotong University, China, in 2003 and 2008, respectively. His current position is a professor at Southwest Jiaotong University, China. His research interests include tribology/dynamic behavior analysis, vibration and noise control, and fault diagnosis and intelligence.
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Yin, J., Lu, C. & Mo, J. Comprehensive modeling strategy for thermomechanical tribological behavior analysis of railway vehicle disc brake system. Friction 12, 74–94 (2024). https://doi.org/10.1007/s40544-023-0735-9
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DOI: https://doi.org/10.1007/s40544-023-0735-9