不同比例轮轨参数组合下钢轨磨耗演化及型面优化研究

Study on the Evolution of Rail Wear and Surface Optimization Based on Different Proportional Wheel-Rail Parameter Combinations

文章研究实际小半径曲线上钢轨磨耗演化规律,设置车辆行驶速度、摩擦系数及车轮踏面类型按比例组合并分析对钢轨磨耗的影响。运用非均匀有理B样条曲线(Non Uniform Rational B-Spline,NURBS)构建钢轨参数化模型,并训练样本且基于神经网络(RBF)代理模型搭建以轮轨接触斑面积均方根ARMS和接触角差Δδ为目标函数的多目标优化模型。研究结果表明:左轨磨耗表现为侧磨,且磨耗量与通过总重线性相关;右轨磨耗表现为垂直磨耗,磨耗量也与通过重量呈线性相关;优化型面Opt1在接触斑面积均方根ARMS和接触角差Δδ两方面较原始型面均有所改善,且Opt1型面轮轨接触点分布更均匀,磨耗指数及动力学性能均有较好的改善。

To study the evolution law of rail wear on actual small radius curves,vehicle traveling speed,friction coefficient,and wheel tread type are set proportionally and the influence on rail wear is analyzed.A parametric mod-el of the rail was constructed by using the Non-uniform Rational B-spline curves and the samples were trained.Based on the Radial Basis Function surrogate model,a multi-objective optimization model with the root mean square area of the wheel-rail contact patch ARMS and the contact angle differenceΔδas the objective functions was established.The results show that:Left rail wear exhibits lateral wear,and the wear amount is linearly related to the total weight passing through;right rail wear shows vertical wear,and the wear amount is also linearly related to the passing weight;the optimized surface Opt1 has improved in both the root mean square area of the contact patch ARMS and the contact angle differenceΔδcompared to the original surface,with a more uniform distribution of wheel-rail contact points on the Opt1 surface,leading to significant improvements in wear index and dynamic perfor-mance.