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Rail repair technology based on high-pressure abrasive water jet

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Abstract

To investigate the rail repair process based on high-pressure abrasive water jet, simulation analysis of its machining process is carried out based on smoothed particle hydrodynamics with finite element method (SPH-FEM). First, through the water jet cutting experiment, analysis of simulation data and experimental results are compared, and the results are basically the same in terms of values and trends. The depth of cut decreases with the increase of transverse speed, increases with the increase of abrasive flow, and tends to increase and then decrease with the jet pressure and target distance. Then, the rail top surface is repaired by high-pressure abrasive water jet technology, and the experimental results show that the repaired rail surface fully meets the rail grinding and repair standards. The repaired rail surface roughness of 2.648 μm is better than the rail milling train repair index value of 56.2%, which verifies the feasibility and effectiveness of rail repair based on high-pressure abrasive water jet technology.

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References

  1. Fan WG, Liu YM, Li JY (2018) Development status and prospect of high-speed railway rail grinding technology. J Mech Eng 54(22):184–193

    Article  Google Scholar 

  2. Li ZQ, Zhao PJ, Song YX, Sun T (2016) Research status of micro-abrasive water jet machining technology. Nanotechnol Precis Eng 14(02):134–144

    Google Scholar 

  3. Zhang ZY, Shang W, Ding HH, Guo J, Wang HY, Liu QY, Wang WJ (2016) Thermal model and temperature field in rail grinding process based on a moving heat source. Appl Therm Eng 106:855–864

    Article  Google Scholar 

  4. Steenbergen M (2016) Rolling contact fatigue in relation to rail grinding. Wear 356-357:110–121

    Article  CAS  Google Scholar 

  5. Santa J, Toro A, Lewis R (2016) Correlations between rail wear rates and operating conditions in a commercial railroad. Tribol Int 95:5–12

    Article  Google Scholar 

  6. Kubin W, Daves W, Stock R (2019) Analysis of rail milling as a rail maintenance process: simulations and experiments. Wear 438-439:203029

    Article  CAS  Google Scholar 

  7. Cui HY, Pan C, Ji HH, He YL (2018) Modeling and optimization of the milling cutter group for rail milling train. J Railw Sci Eng 15(05):1318–1322

    Google Scholar 

  8. Kmec J, Gombár M, Harničárová M, Valíček J, Kušnerová M, Kříž J, Kadnár M, Karková M, Vagaská A (2020) The predictive model of surface texture generated by abrasive water jet for austenitic steels. Appl Sci 10(9):3159

    Article  CAS  Google Scholar 

  9. Cai C, Wang X, Yuan X, Kang Y, Wang Z, Huang M, Chen H (2019) Experimental investigation on perforation of shale with ultra-high pressure abrasive water jet: shape, mechanism and sensitivity. J Nat Gas Sci Eng 67:196–213

    Article  CAS  Google Scholar 

  10. Tripathi R, Hloch S, Chattopadhyaya S, Klichová D, Ščučka J, Das AK (2020) Application of the pulsating and continuous water jet for granite erosion. Int J Rock Mech Min Sci 126:104209

    Article  Google Scholar 

  11. Ashok Kumar U, Mehtab Alam S, Laxminarayana P (2020) Influence of abrasive water jet cutting on glass fibre reinforced polymer (GFRP) composites. Mater Today: Pro 27:1651–1654

    CAS  Google Scholar 

  12. Jiang YL, Zeng JJ, Xu CJ, Xiong FY, Pan YC, Chen XS, Lei ZX (2022) Experimental study on TBM cutter penetration damage process of highly abrasive hard rock pre-cut by high-pressure water jet. Bull Eng Geol Env 81:511

    Article  Google Scholar 

  13. Mieszala M, Torrubia PL, Axinte DA, Schwiedrzik JJ, Guo Y, Mischler S, Michler J, Philippe L (2017) Erosion mechanisms during abrasive waterjet machining: model microstructures and single particle experiments. J Mater Process Technol 247:92–102

    Article  Google Scholar 

  14. Kumar A, Singh H, Kumar V (2017) Study the parametric effect of abrasive water jet machining on surface roughness of Inconel 718 using RSM-BBD techniques. Mater Manuf Processes 33(13):1483–1490

    Article  Google Scholar 

  15. Yu Y, Sun T, Yuan Y, Gao H, Wang X (2020) Experimental investigation into the effect of abrasive process parameters on the cutting performance for abrasive waterjet technology: a case study. Int J Adv Manuf Technol 107(5-6):2757–2765

    Article  Google Scholar 

  16. Aydin G, Karakurt I, Hamzacebi C (2014) Artificial neural network and regression models for performance prediction of abrasive waterjet in rock cutting. Int J Adv Manuf Technol 75(9-12):1321–1330

    Article  Google Scholar 

  17. Kantha Babu M, Krishnaiah Chetty OV (2006) A study on the use of single mesh size abrasives in abrasive waterjet machining. Int J Adv Manuf Technol 29(5):532–540

    Article  Google Scholar 

  18. Yuvaraj N, Pradeep KM (2017) Study and evaluation of abrasive water jet cutting performance on AA5083-H32 aluminum alloy by varying the jet impingement angles with different abrasive mesh sizes. Mach Sci Technol 21(3):385–415

    Article  CAS  Google Scholar 

  19. Li M, Huang M, Yang X, Li S, Wei K (2018) Experimental study on hole quality and its impact on tensile behavior following pure and abrasive waterjet cutting of plain woven CFRP laminates. Int J Adv Manuf Technol 99:2481–2490

    Article  Google Scholar 

  20. Perec A (2018) Experimental research into alternative abrasive material for the abrasive water-jet cutting of titanium. Int J Adv Manuf Technol 97(1-4):1529–1540

    Article  Google Scholar 

  21. Kumaran ST, Ko TJ, Uthayakumar M, Islam MM (2017) Prediction of surface roughness in abrasive water jet machining of CFRP composites using regression analysis. J Alloys Compd 724:1037–1045

    Article  CAS  Google Scholar 

  22. Du MM, Wang HJ, Dong HY, Guo YJ, Ke YL (2022) Numerical research on multi-particle movements and nozzle wear involved in abrasive waterjet machining. Int J Adv Manuf Technol 117(9-10):2845–2858

    Article  Google Scholar 

  23. Liu Y, Zhao Y, Yoshigoe K, Zhang S, Chen M (2021) Simulating a high-speed abrasive particle impacting on a tensile block using SPH-FEM. Int J Adv Manuf Technol 116(9-10):2835–2845

    Article  Google Scholar 

  24. Feng L, Liu GR, Li Z, Dong X, Du M (2018) Study on the effects of abrasive particle shape on the cutting performance of Ti-6Al-4V materials based on the SPH method. Int J Adv Manuf Technol 101(9-12):3167–3182

    Article  Google Scholar 

  25. Du M, Wang H, Dong H, Guo Y, Ke Y (2020) Numerical research on kerf characteristics of abrasive waterjet machining based on the SPH-DEM-FEM approach. Int J Adv Manuf Technol 111(11-12):3519–3533

    Article  Google Scholar 

  26. Tian SL, Chen XA, Wu PF (2021) Research on flexible loading system of high-speed motorized spindles based on high-pressure water jet. J Mech Eng 57(13):36–44

    Article  Google Scholar 

  27. Yin DY, Chen XC, Bao JS (2021) Research on milling technology of 3D braided composites based on abrasive water jet. J Mech Eng 57(05):273–280

    Article  Google Scholar 

  28. Dong X, Liu YQ, Duan X (2020) Numerical simulation of multi-shot shot peening models and residual stress field of premixed water jet. J Mech Eng 56(04):224–232

    Article  Google Scholar 

  29. Cai ZG, Chen XC, Wang D, Bao JS (2020) Research on water jet drilling technology for carbon-carbon composites. J Mech Eng 55(03):226–232

    Article  Google Scholar 

  30. Zhang XZ, Wisniewski P, Dykas S, Zhang GJ (2021) Permeability enhancement properties of high-pressure abrasive water jet flushing and its application in a soft coal seam. Front Energy Res 9:679623

    Article  Google Scholar 

  31. Liu S, Cui Y, Chen Y, Guo C (2019) Numerical research on rock breaking by abrasive water jet-pick under confining pressure. Int J Rock Mech Min Sci 120:41–49

    Article  Google Scholar 

  32. Karas A, Ameur H, Mazouzi R, Kamla Y (2020) Determination of the dynamic characteristics of the abrasive water jet for process manufacturing. Int J Adv Manuf Technol 110(1-2):101–112

    Article  Google Scholar 

  33. Zuo W, Huang C, Liu Y, Han H, Hao F, Zhao F, Huang F (2020) Analysis and modeling of particle velocities in premixed abrasive water jets. Geofluids 2020:1–9

    Article  Google Scholar 

  34. CANNON DF, EDEL K-O, GRASSIE SL, SAWLEY K. (2003) Rail defects: an overview. Fatigue Fract Eng Mater Struct 26(10):865–886

    Article  Google Scholar 

  35. Fan WG, Liu YM, Li JY (2018) Development status and prospect of rail grinding technology for high speed railway. J Mech Eng 54(22):184–193

    Article  Google Scholar 

  36. Zhu HY, Yuan Y, Xiao Q, Li J, Zheng YX (2021) Res Progress on Rail Corrugation 21(03):110–133

    Google Scholar 

  37. Yu F, Wang JM, Liu FH (2011) Numerical simulation of single particle acceleration process by SPH coupled FEM for abrasive waterjet cutting. Int J Adv Manuf Technol 59(1-4):193–200

    Google Scholar 

  38. Ma L, Bao R, Guo Y (2008) Waterjet penetration simulation by hybrid code of SPH and FEA. Int J Impact Eng 35(9):1035–1042

    Article  Google Scholar 

  39. Momber AW, Kovacevic R (1998) Principles of abrasive water jet machining. Springer, Berlin

    Book  Google Scholar 

  40. Railway C (2014) Measures for the management of high-speed railway rail grinding: Tie Zongyun [2014] 357,. China Railway Press

    Google Scholar 

Download references

Funding

This work was supported by the Revitalization of Liaoning Talent Program of Liaoning Province (XLYC1802038) (XLYC1807211) and the Shenyang High-Level Talent Program of Shenyang (RC190148)

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Authors and Affiliations

  1. School of Mechanical Engineering, Shenyang University of Technology, Shenyang, 110870, China

    Guo-zhe Yang, Tong-ming Liu, Xing-yu Jiang, Bo-xue Song, Zi-sheng Wang, Qing-ze Tan & Wei-jun Liu

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  1. Guo-zhe Yang
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  2. Tong-ming Liu
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  3. Xing-yu Jiang
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  4. Bo-xue Song
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  5. Zi-sheng Wang
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  6. Qing-ze Tan
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  7. Wei-jun Liu
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Contributions

All authors contributed to the study conception and design. The material preparation was performed by Guo-zhe Yang and Wei-jun Liu. The experiment and data collection were performed by Guo-zhe Yang, Tong-ming Liu, and Qing-ze Tan. The analysis was performed by Bo-xue Song and Zi-sheng Wang. The first draft of the manuscript was written by Xing-yu Jiang, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Xing-yu Jiang.

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Yang, Gz., Liu, Tm., Jiang, Xy. et al. Rail repair technology based on high-pressure abrasive water jet. Int J Adv Manuf Technol 131, 2295–2310 (2024). https://doi.org/10.1007/s00170-023-11307-2

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