Establishment of high-temperature fretting wear prediction model for metal rubber with complex helical network structure
Establishment of high-temperature fretting wear prediction model for metal rubber with complex helical network structure
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DOI：
10.1016/j.triboint.2023.108778
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发表时间：
2023-07
影响因子：
6.2
通讯作者：
Yu Yang;Zhiying Ren;Liang Sheng;Hongyin Li;YouXi Lin;Ling Pan
中科院分区：
文献类型：
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作者：
Yu Yang;Zhiying Ren;Liang Sheng;Hongyin Li;YouXi Lin;Ling Pan
建立了金属橡胶高温微动磨损预测模型，并通过实验进行了验证。首先，建立了金属橡胶的三维数值模型，并统计了虚拟构件内的接触点分布和曲线类型。同时，引入温度函数f（T），考虑材料的热膨胀、软化和氧化，建立了弯曲金属丝高温微动磨损演化模型。随后，该模型被纳入到宏观模型，建立一个跨尺度的预测模型，从微线圈元件的磨损组件磨损。实验验证表明，该模型具有良好的预测性能，最大磨损量预测误差为14.81%，80,000次循环的预测误差小于10%。
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.