2008
DOI: 10.1016/j.wear.2008.03.018
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Design of railway wheel profile taking into account rolling contact fatigue and wear

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Cited by 50 publications
(35 citation statements)
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“…Unlike other projects in which the reference curve is the RRD rolling radii difference curve [9][10][11], the conicity curve supplies information in high speed applications which is more useful in terms of stability, since this enables equivalent conicity values to be accurately set that are permissible for slight lateral displacements of the wheelset. The shape of the curve also enables it to be deduced whether the profile will produce higher values of RRD in connection with negotiation of curves, thereby maintaining its advantages.…”
Section: Objective Functionmentioning
confidence: 99%
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“…Unlike other projects in which the reference curve is the RRD rolling radii difference curve [9][10][11], the conicity curve supplies information in high speed applications which is more useful in terms of stability, since this enables equivalent conicity values to be accurately set that are permissible for slight lateral displacements of the wheelset. The shape of the curve also enables it to be deduced whether the profile will produce higher values of RRD in connection with negotiation of curves, thereby maintaining its advantages.…”
Section: Objective Functionmentioning
confidence: 99%
“…Normally these variables are allocated to a number of points on the wheel profile plane that are interpolated subsequently to generate the complete profile. For example, it is possible to select n points on the y axis and allocate a variable z coordinate to each, and these coordinates constitute the vector of design variables [6][7][8][9][10]13]. The profile is unequivocally defined by performing interpolation of the points, with spline curves, for example.…”
Section: Definition Of the Optimisation Variablesmentioning
confidence: 99%
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“…Shevtsov et al [11,12] optimized the design of wheel profiles by taking the rolling radius difference as the design target according to multipoint approximation technology based on response surface fitting (MARS) and improved the profile matching and dynamic performance. Reference [13], based on the target functions and optimization method [11,12], optimized railway wheel profiles considering the wheel-rail rolling contact fatigue and wear etc. Jahed et al [14] proposed a similar method to that used by Shevtsov et al [11,12] and they chose a reduced set of generalized coordinates constituted by five variable parameters together with cubic spline curves in a linear programming formulation for the generation of profiles.…”
Section: Introductionmentioning
confidence: 99%
“…析, 研究了轮轨接触斑面积和接触应力的发展规律。 SHEVTSOV 等 [9] 以轮轨滚动半径差作为最优控制 标准进行钢轨型面优化设计。 CHOI [10] 采用一种基于 遗传算法的优化方法对曲线钢轨型面进行非对称设 计,从而达到降低曲线钢轨侧磨的目的。马跃伟 [11] 基于蒙特卡洛方法建立假设轮对横移量服从高斯分 布的轮轨接触概率分析模型,并提出以加权累积和 平均接触应力作为钢轨打磨廓形优化的评价指标。 ZHAI [12] 针对重载铁路曲线钢轨侧磨严重的问题, 发 展了一种基于轮轨动态作用力的非对称钢轨廓形设 计方法。为了降低轮轨磨耗和滚动接触疲劳(Rolling contact fatigue,RCF),MAGEL [13] 根据轮轨接触机 理对车轮和钢轨型面进行优化设计。任娟娟 [14] …”
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