• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (14): 245-253.doi: 10.3901/JME.2023.14.245

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Study on Extraction of Wheel Profile Wear Characteristics and Curve Parameterization Description of High-speed Train Wheels

XIAO Qian, ZHOU Qianzhe, CHENG Yuqi, WANG Yifan, JIANG Xiongfeng, ZHANG Peidong   

  1. Key Laboratory of Ministry of Education for Conveyance and Equipment, East China Jiaotong University, Nanchang 330013
  • Received:2022-07-02 Revised:2023-01-15 Online:2023-07-20 Published:2023-08-16

Abstract: Wheel-tracking measurement is carried on to survey the wear law of wheel profiles of the high-speed trains in China. The combination of simulation and measurement was used to analyze the rule of profile wear. It was found that the wheel wear was mainly pit wear, and the wear section was concentrated at about 20 mm of the nominal rolling circle.The cubic NURBS curve was used to fit the wear profile under the same set of control vertices and the same node vector, and the weight factor of NURBS curve was used as the characteristic parameterof different wear wheel profile. With the attrition depth as the independent variable and the characteristic parameters as the dependent variable, the least square method was used to carry out polynomial regression fitting, and then a parameterized description model of wheel profile evolution was built to describe the evolution process of wheel profile in a turning repair cycle. It lays a foundation for quantitatively describing the influence of wear on vehicle dynamics and also provides a reference and research idea for the evolution mechanism of wheel profile wear. In order to verify the accuracy and applicability, the results of fitting accuracy, wheel-rail geometric contact and dynamic response of the parametric description model and statistical analysis wear profile curves were compared under the same wear degree.The results show that the parametric description model by the proposed parametric description function have a great agreement with the statistical analysis profiles both in the curve shapes and vehicle system dynamic performances.

Key words: high-speed train, wheel wear, tracking test, profile evolution, feature extraction, parameterized description

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