Analytical modeling of grinding process in rail profile correction considering grinding pattern

被引:31
|
作者
Liu, Yue Ming [1 ,2 ]
Yang, Tian Yong [1 ]
He, Zhe [1 ]
Li, Jian Yong [1 ,2 ]
机构
[1] Beijing Jiaotong Univ, Sch Mech Elect & Control Engn, Beijing 100044, Peoples R China
[2] Minist Educ, Key Lab Vehicle Adv Mfg Measuring & Control Techn, Beijing 100044, Peoples R China
关键词
Metal removal model; Grinding pattern; Rail grinding; Target rail profile; ROLLING-CONTACT FATIGUE; WEAR; SURFACE;
D O I
10.1016/j.acme.2017.10.009
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
An analytical introduction to rail grinding was presented in this paper where a newly-designed profile serves as the targeted ground profile to extend the rail's service life. A method for determining eliminated metal due to rail grinding is established as an initial consideration in the process of rail profile correction. The analytical model of material removal contains grinding wheel characteristics such as rotation speed, feeding speed, and applied pressure to the ground rail. The assumed coefficient in this model was fitted by a scratch test between a single abrasive grain and rail specimen. The sectional area s of removed metal can be used to estimate grinding capacity rather than the traditional grinding depth. An algorithm that generates personalized grinding patterns is proposed to arrange grinding wheel location and proper sequence. The whole procedure was indirectly validated in terms of grinding quality and rail profile error through rail grinding field data. A grinding pattern was generated by the proposed method that can effectively simulate the ground rail profile within a pre-determined tolerance. The area difference of predicted and target profiles was 13 mm(2) (6.6%) and the experimental result was 12.2 mm(2) at rail cross-section. (c) 2017 Politechnika Wroclawska. Published by Elsevier Sp. z o.o. All rights reserved.
引用
收藏
页码:669 / 678
页数:10
相关论文
共 50 条
  • [41] Research on Rail Wear Control Method Based on Profile Grinding for Sharp Curve Rail
    Wang, Junping
    [J]. Tiedao Xuebao/Journal of the China Railway Society, 2021, 43 (01): : 128 - 134
  • [42] Study on Algorithm of Representative Profile for Rail Grinding Based on Wheel-rail Relationship
    Ding, Junjun
    Wu, Pengpeng
    Wang, Junping
    Li, Fu
    [J]. Tiedao Xuebao/Journal of the China Railway Society, 2019, 41 (07): : 135 - 140
  • [43] Characterization and Modeling of Grinding Speed and Belt Wear Condition for Robotic Grinding Process
    Yang, Hsuan-Yu
    Lian, Feng-Li
    [J]. 2021 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 2021, : 66 - 71
  • [44] Modeling and Simulation of Temperature in Abrasive Belt Rail Grinding Process Based on Hertzian Contact Theory
    Wang, Wenxi
    Li, Jianyong
    Fan, Wengang
    Nie, Meng
    [J]. Tiedao Xuebao/Journal of the China Railway Society, 2019, 41 (07): : 141 - 146
  • [45] Flat grinding model, considering internal dynamics of the process
    Bratan, Sergey
    Vladetskaya, Ekaterina
    [J]. INTERNATIONAL CONFERENCE ON MODERN TRENDS IN MANUFACTURING TECHNOLOGIES AND EQUIPMENT (ICMTMTE 2018), 2018, 224
  • [46] Contact Force Modeling for Robotic Grinding with Special-shaped Disc Considering Profile Features
    Guo, Wanjin
    Wu, Guang
    Zhu, Heng
    Chen, Zhuhong
    Zhan, Zili
    Cao, Chuqing
    Zhao, Lijun
    Guo, Lei
    Zhu, Wenfeng
    [J]. Surface Technology, 2024, 53 (12): : 167 - 180
  • [47] Analytical modeling of grinding force and experimental study on ultrasonic-assisted forming grinding gear
    Long Yin
    Bo Zhao
    Bingjun Huo
    Wenbo Bie
    Chongyang Zhao
    [J]. The International Journal of Advanced Manufacturing Technology, 2021, 114 : 3657 - 3673
  • [48] Target profile of rail grinding for small radius curve of Shuohuang Railway
    Jia, Jinzhong
    Si, Daolin
    [J]. Jia, Jinzhong, 1600, Chinese Academy of Railway Sciences (35): : 15 - 21
  • [49] A Site-Oriented Deign Method of Target Profile for Rail Grinding
    Mao, Xin
    Shen, Gang
    [J]. RAILWAY DEVELOPMENT, OPERATIONS, AND MAINTENANCE: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON RAIL TRANSPORTATION 2017 (ICRT 2017), 2018, : 323 - 330
  • [50] Analytical modeling of grinding force and experimental study on ultrasonic-assisted forming grinding gear
    Yin, Long
    Zhao, Bo
    Huo, Bingjun
    Bie, Wenbo
    Zhao, Chongyang
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 114 (11-12): : 3657 - 3673