Wheel profile optimization design of a small wheel diameter uniform load combination style of freight bogie

被引:0
|
作者
Cao Y. [1 ,2 ]
Zhang W. [1 ]
Qi Y. [1 ,3 ]
Chi M. [1 ]
Wang H. [2 ]
机构
[1] State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu
[2] China Energy Railway Equipment Company Limited, Beijing
[3] School of Mechanotronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing
来源
关键词
backpack freight car; reverse design method; small wheel diameter bogie; wheel profile optimization; wheel wear;
D O I
10.13465/j.cnki.jvs.2024.06.026
中图分类号
学科分类号
摘要
The small-diameter wheel bogie technology is a key technology forhumpback transport vehicles. The wheel wear problem of a small wheel diameter low floor backpack freight car is serious and has a serious impact on its dynamic performance. In order to further improve its operation performance, the wheel profile optimization design of this kind of freight car was carried out. Firstly, the dynamic model of the freight car was established, then the wheel profile was optimized by using the wheel diameter difference inverse design method, and finally the vehicle dynamics model was used to verify the vehicle dynamics performances and wear characteristics of the optimized profile. The results show that the optimized profile further reduces the equivalent wheel conicity and reduces the wheel-rail normal contact stress. Comparing the dynamics characteristics before and after optimization, it is found the optimized wheel profile can increase the critical speed of empty vehicles by 23. 3% and the critical speed of heavy vehicles by 17. 54% compared to the LM profile. A wheel wear model was used to calculate the wheel wear in the straight and curved tracks. The maximum depth of wheel wear on the outside of the curve is reduced by 54. 8% and the maximum depth of wheel wear on the inside of the curve is reduced by 48. 13%. The optimization of the wheel profile can effectively reduce wheel wear in the straight and curved tracks of the small wheel diameter low floor backpack freight car, which plays an important role in suppressing wheel wear and improving operation performance. © 2024 Chinese Vibration Engineering Society. All rights reserved.
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页码:248 / 254and272
相关论文
共 19 条
  • [1] YANG Guangquan, LIU Yinhua, LI Xing, Research on technique of railway piggyback transportation of wagon loading goods in China, Railway Freight Transport, 40, 5, pp. 32-38, (2022)
  • [2] ZHANG Simei, CHEN Jingliang, LIU Zuoyi, Study on the technical route of developing pack transportation in China' s railways [J], China Railway, 11, pp. 32-35, (2016)
  • [3] Dabin CUI, Li LI, JIN Xuesong, Study on optimization of wheel profiles on heavy haul freight car [J], Journal of the China Railway Society, 33, 5, pp. 31-37, (2011)
  • [4] WANG Pu, WANG Shuguo, Numerical prediction of wheel wear development of heavy-haul freight car under complex operation conditions[J], Journal of Tongji University (Natural Science), 47, 1, pp. 71-78, (2019)
  • [5] LI Hengli, LI Fu, WANG Xinrui, Et al., Evolution of wheel wear and dynamics performance of heavy haul freight car, Journal of Traffic and Transportation Engineering, 16, 5, pp. 49-56, (2016)
  • [6] DING Junjun, LI Fu, Research on wheel wear of heavy haul freight carbased on creep mechanism [J], China Railway Science, 34, 4, pp. 125-127, (2013)
  • [7] LI Chunsheng, LUO Shihui, COLIN Cole, Et al., Evaluation of primary suspension benefits for heavy haul wagons [J], Journai of the China Railway Society, 40, 8, pp. 52-59, (2018)
  • [8] YANG Chunlei, WANG Kaiyun, HUANG Yunhua, Analysis of suspension characteristics of heavy haul freight wagon negotiating curved track, Journal of the China Railway Society, 44, 6, pp. 18-29, (2022)
  • [9] CHOI H Y, LEE D H, LEE J., Optimization of a railway wheel profile to minimize flange wear and surface fatigue, Wear, 300, pp. 225-233, (2013)
  • [10] LIN F, ZHOU S, DONG X, Et al., Design method of LM thin flange wheel profile based on NURBS, Vehicle System Dynamics, 59, 1, pp. 1-16, (2019)