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Accumulated wear degradation prediction of railway friction block considering the evolution of contact status
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NSTL
Elsevier
In this work, a simulation methodology with the combination of finite element modeling, Archard theory, and Arbitrary Lagrangian-Eulerian (ALE) technique is proposed for the accumulated wear degradation prediction of railway friction block. The validation is conducted with a test bench from the perspectives of tribological and dynamic behaviors during the running-in and formal testing processes. The friction pair comprises a forged steel brake disc and a Cu-based powder metallurgy friction block. The results indicate that the contact area increases during the running-in process and the average contact pressure decreases first and then fluctuates around a stable value. In the formal testing process, although the accumulated wear mass and the wear mass per cycle increase with the number of braking cycles, the increase rate of friction block wear mass decreases rapidly in the first few cycles and then decreases slowly. The prediction error of the proposed method for the accumulated wear mass is less than 5%. The research in this work is helpful to have a deep understanding of the wear degradation mechanism of friction block and can provide an effective method for the prediction of friction block wear degradation.
Wear predictionFriction blockArchard theoryArbitrary lagrangian-Eulerian techniqueFinite element simulation
Chun Lu、Jiabao Yin、Jiliang Mo、Junyong Wang
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School of Mechanical Engineering, Southwest Jiaotong University
NSTL
Elsevier
