Volume 22 Issue 2
Apr.  2022
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LIN Feng-tao, DENG Zhuo-xin, PANG Hua-fei, WANG Song-tao, YANG Jian, DING Jun-jun, CHEN Dao-yun. Design method of grinding profile of over worn rail[J]. Journal of Traffic and Transportation Engineering, 2022, 22(2): 111-122. doi: 10.19818/j.cnki.1671-1637.2022.02.008
Citation: LIN Feng-tao, DENG Zhuo-xin, PANG Hua-fei, WANG Song-tao, YANG Jian, DING Jun-jun, CHEN Dao-yun. Design method of grinding profile of over worn rail[J]. Journal of Traffic and Transportation Engineering, 2022, 22(2): 111-122. doi: 10.19818/j.cnki.1671-1637.2022.02.008
shu

Design method of grinding profile of over worn rail

doi: 10.19818/j.cnki.1671-1637.2022.02.008
  • 1.

    Key Laboratory of Ministry of Education for Conveyance and Equipment, East China Jiaotong University, Nanchang 330013, Jiangxi, China

  • 2.

    Guangzhou Railway Polytechnic, Guangzhou 510430, Guangdong, China

  • 3.

    Guangdong Intercity Railway Operation Co., Ltd., Guangzhou 510310, Guangdong, China

  • 4.

    Anhui Huirui Rail Intelligent Equipment Co., Ltd., Hefei 230001, Anhui, China

  • 5.

    School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

Funds:

National Natural Science Foundation of China 51865009

National Natural Science Foundation of China 52065021

Natural Science Foundation of Jiangxi Province 20202BABL214028

Natural Science Foundation of Jiangxi Province 20212BBE53024

Major Disciplines and Technology Leading Talents Training Program of Jiangxi Province 20213BCJL22040

Special Fund Project for Postgraduate Innovation of Jiangxi Province YC2021-S423

More Information
  • Author Bio:

    LIN Feng-tao(1977-), male, professor, PhD, 46473697@qq.com

  • Received Date: 2021-12-07
  • Publish Date: 2022-04-25
    Abstract
  • A rail profile design method with the arc tangency point as the key parameter was proposed for the grinding of over worn rail. Specifically, taking the wheel-rail contact region as the optimization area and the rail wear and the removed amount of grinding material as the optimization objective function, taking the profile boundary, concavity and convexity, derailment coefficient and wheel-rail lateral force as the constraint conditions, the multi-objective function of designed grinding profile of worn rail was established. The multiple simulated annealing optimization algorithm was integrated for solutions. To obtain the rail profile representing the curve of a heavy haul line, which was adopted as the optimized input data, the representative profiles of four kinds of rails were obtained by using the least square distance algorithm, arithmetic average algorithm, weighted average algorithm and scatter reconstruction algorithm. The correlations between the rail representative profiles of the four algorithms and the measured profile contact point probability distribution curve were calculated by using the Pearson correlation coefficient, Kendall rank correlation coefficient and Spearman rank correlation coefficient, and the representative profile with the highest correlation was taken as the actual profile of the curve section of the equivalent heavy haul line. The economical grinding profile of over worn rail in a heavy haul line and the optimized profile using the arc profile design method were analyzed. Analysis results show that compared with the on-site grinding profile of rail, the optimized rail profile has a reduced grinding and cutting amount for its sectional profile by 69.56 mm2, a decrease of 64.98%, a slightly increased derailment coefficient, the same lateral wheel-rail force, small lateral wheelset displacement change, and similar curve passing performance. Although the wear area under 800 000 passes increases by 2.19 mm2, and the wear rate of rail slightly rises, the overall service life of rail is still prolonged. 3 tabs, 17 figs, 30 refs.

     

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    • References(30)
  • [1]
    WANG Jian-xi, CHEN Si-yi, LI Xiang-guo, et al. Optimal rail profile design for a curved segment of a heavy haul railway using a response surface approach[J]. Journal of Rail and Rapid Transit, 2016, 230(6): 1496-1508. doi: 10.1177/0954409715602513
    [2]
    MAGEL E, KALOUSEK J. The application of contact mechanics to rail profile design and rail grinding[J]. Wear, 2002, 253(1): 308-316.
    [3]
    MAGEL E, RONEY M, KALOUSEK J, et al. The blending of theory and practice in modern rail grinding[J]. Fatigue and Fracture of Engineering Materials and Structures, 2003, 26(10): 921-929. doi: 10.1046/j.1460-2695.2003.00669.x
    [4]
    SMALLWOOD R, SINCLAIR J C, SAWLEY K J. An optimization technique to minimize rail contact stresses[J]. Wear, 1991, 144(1/2): 373-384.
    [5]
    SATO Y. Design of rail head profiles with full use of grinding[J]. Wear, 1991, 144(1/2): 363-372.
    [6]
    GERLICI J, LACK T. Railway wheel and rail head profiles development based on the geometric characteristics shapes[J]. Wear, 2011, 271(1): 246-258.
    [7]
    CUI Da-bin, LI Li, JIN Xue-song, et al. Study on rail goal profile by grinding[J]. Engineering Mechanics, 2011, 28(4): 178-184. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GCLX201104030.htm
    [8]
    XIAO Qian, YANG Yi-hang, HUANG Bi-kun. Optimal selection of rail grinding profile for passenger-freight line based on steady state characteristics of wheel-rail rolling contact[J]. China Railway Science, 2016, 37(1): 17-23. (in Chinese) doi: 10.3969/j.issn.1001-4632.2016.01.03
    [9]
    MAO Xin, SHEN Gang. Curved rail grinding profile design based on rolling radii difference function[J]. Journal of Tongji University (Natural Science), 2018, 46(2): 253-259. (in Chinese) doi: 10.11908/j.issn.0253-374x.2018.02.017
    [10]
    ZHOU Qing-yue, LIU Feng-shou, YU Zhe, et al. Study on the optimization of rail profile in China[J]. China Railway, 2017(12): 7-12, 34. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TLZG201712002.htm
    [11]
    ZHANG Jian, WEN Ze-feng, SUN Li-ping, et al. Wheel profile design based on rail profile expansion method[J]. Chinese Journal of Mechanical Engineering, 2008, 44(3): 44-49. (in Chinese) doi: 10.3321/j.issn:0577-6686.2008.03.008
    [12]
    ZHANG Jian, WANG Yu-yan, JIN Xue-song, et al. Geometric design method of wheel profile for improving wheel and rail contact status[J]. Journal of Traffic and Transportation Engineering, 2011, 11(1): 36-42. (in Chinese) doi: 10.3969/j.issn.1671-1637.2011.01.007
    [13]
    CHENG Di, WANG Cheng-guo, LIU Jin-zhao, et al. Research on the mathematical model for wheel profile optimization with arc parameters as design variables[J]. China Railway Science, 2011, 32(6): 107-113. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTK201106018.htm
    [14]
    WANG Jun-ping. Research on rail wear control method based on profile grinding for sharp curve rail[J]. Journal of the China Railway Society, 2021, 43(1): 128-134. (in Chinese) doi: 10.3969/j.issn.1001-8360.2021.01.016
    [15]
    ZHOU Qing-yue, ZHANG Jian-feng, GUO Zhan-wei, et al. Research on the rail damages and the preventive countermeasures in heavy haul railways[J]. China Railway Science, 2010, 31(1): 27-31. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTK201001007.htm
    [16]
    KAPOOR A, FLETCHER D I, FRANKLIN F J. The role of wear in enhancing rail life[J]. Tribology Series, 2003, 41(3): 331-340.
    [17]
    LI Xia, YANG Tao, ZHANG Jian, et al. Rail wear on the curve of a heavy haul line-numerical simulations and comparison with field measurements[J]. Wear, 2016(366): 131-138.
    [18]
    WANG Pu, GAO Liang, CAI Xiao-pei. Numerical simulation of rail wear evolution of heavy-haul railways[J]. Journal of the China Railway Society, 2014, 36(10): 70-75. (in Chinese) doi: 10.3969/j.issn.1001-8360.2014.10.012
    [19]
    DING Jun-jun, WU Peng-peng, WANG Jun-ping, et al. Study on algorithm of representative profile for rail grinding based on wheel-rail relationship[J]. Journal of the China Railway Society, 2019, 41(7): 135-140. (in Chinese) doi: 10.3969/j.issn.1001-8360.2019.07.017
    [20]
    SAVITZKY A, GOLAY M J E. Smoothing and differentiation of data by simplified least squares procedures[J]. Analytical Chemistry, 1964, 36(8): 1627-1639. doi: 10.1021/ac60214a047
    [21]
    HA V, HADDAWY P. Similarity of personal preferences: theoretical foundations and empirical analysis[J]. Artificial Intelligence, 2003, 146(2): 149-173. doi: 10.1016/S0004-3702(03)00013-4
    [22]
    SPEARMAN C. The proof and measurement of association between two things[J]. International Journal of Epidemiology, 2010, 39(5): 1137-1150. doi: 10.1093/ije/dyq191
    [23]
    ARCHARD J F. Contact and rubbing of flat surfaces[J]. Journal of Applied Physics, 1953, 24(8): 981-988. doi: 10.1063/1.1721448
    [24]
    ZHAI Wan-ming, CHEN Guo. Method and criteria for evaluation of wheel derailment based on wheel vertical rise[J]. Journal of the China Railway Society, 2001, 23(2): 17-26. (in Chinese) doi: 10.3321/j.issn:1001-8360.2001.02.004
    [25]
    BANDYOPADHYAY S, SAHA S, MAULIK U, et al. A simulated annealing-based multi-objective optimization algorithm: AMOSA[J]. IEEE Transactions on Evolutionary Computation, 2008, 12(3): 269-283. doi: 10.1109/TEVC.2007.900837
    [26]
    DING Jun-jun, SUN Shu-lei, LI Fu, et al. Simulation of wheel wear for heavy haul freight car[J]. Journal of Traffic and Transportation Engineering, 2011, 11(4): 56-60. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC201104008.htm
    [27]
    YANG Chun-lei, HUANG Yun-hua, DING Jun-jun. Influences of curve geometric parameters of heavy haul track on wheel/rail coupling dynamic characteristics[J]. Journal of Traffic and Transportation Engineering, 2021, 21(3): 215-227. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2021.03.014
    [28]
    ZHANG Jun, JIA Xiao-ping, SUN Chuan-xi, et al. Contact relationship of wear wheel and curved rail l[J]. Journal of Traffic and Transportation Engineering, 2011, 11(3): 29-33. (in Chinese) doi: 10.3969/j.issn.1671-1637.2011.03.006
    [29]
    DONG Xiao-qing, REN Zun-song, XU Zi-qiang, et al. Research on nonlinear characteristics and effect of equivalent conicity curve[J]. Journal of the China Railway Society, 2018, 40(11): 91-97. (in Chinese) doi: 10.3969/j.issn.1001-8360.2018.11.013
    [30]
    KOU Jie, ZHANG Ji-min, ZHOU He-chao, et al. Wheel-rail wear characteristics of intercity EMUs on curve in worn stages[J]. Journal of Traffic and Transportation Engineering, 2021, 21(3): 279-288. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2021.03.020
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