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Numerical research on multi-particle movements and nozzle wear involved in abrasive waterjet machining

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Abstract

Multi-particle velocities and trajectories in abrasive waterjet machining are of great value to understand the particle erosion mechanism involved in the cutting process. In this paper, the whole-stage simulation model is established from the high-pressure water and abrasive particles entering the nozzle to the mixed abrasive jet impacting the workpiece based on the SPH-DEM-FEM method. Comparing the simulation results with the experimental results under different process parameters, the capability of the proposed model is systematically validated. The model is applied to study the mixing and accelerating process of abrasive particles, and the results show that a speed difference is existed between the water and abrasive particles after being ejected from the nozzle. In addition, the nozzle wear pattern is also analyzed carefully. It is discovered that the most serious wear happened at the junction of the mixing chamber and the focusing tube. And the focusing tube wear is uneven and spreads downward.

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References

  1. Axinte DA, Karpuschewski B, Kong MC, Beaucamp AT, Anwar S, Miller D, Petzel M (2014) High Energy Fluid Jet Machining (HEFJet-Mach): From scientific and technological advances to niche industrial applications. CIRP Ann 63(2):751–771. https://doi.org/10.1016/j.cirp.2014.05.001

    Article  Google Scholar 

  2. Srinivasu DS, Axinte DA, Shipway PH, Folkes J (2009) Influence of kinematic operating parameters on kerf geometry in abrasive waterjet machining of silicon carbide ceramics. Int J Mach Tools Manuf 49(14):1077–1088. https://doi.org/10.1016/j.ijmachtools.2009.07.007

    Article  Google Scholar 

  3. Schwartzentruber J, Spelt JK, Papini M (2018) Modelling of delamination due to hydraulic shock when piercing anisotropic carbon-fiber laminates using an abrasive waterjet. Int J Mach Tools Manuf 132:81–95. https://doi.org/10.1016/j.ijmachtools.2018.05.001

    Article  Google Scholar 

  4. Tabatchikova TI, Tereshchenko NA, Yakovleva IL, Gudnev NZ (2018) Structure of near-surface layer of high-strength steel subjected to abrasive waterjet cutting. Phys Met Metallogr 119(9):871–879. https://doi.org/10.1134/s0031918x18090107

    Article  Google Scholar 

  5. Hashish M (1991) Optimization factors in abrasive-waterjet machining. J Eng Ind 113(1):29–37

    Article  Google Scholar 

  6. Wang J, Wong WCK (1999) A study of abrasive waterjet cutting of metallic coated sheet steels. Int J Mach Tool Manu 39(6):855–870

    Article  Google Scholar 

  7. Pawar PJ, Vidhate US, Khalkar MY (2018) Improving the quality characteristics of abrasive water jet machining of marble material using multi-objective artificial bee colony algorithm. J Comput Des Eng 5(3):319–328. https://doi.org/10.1016/j.jcde.2017.12.002

    Article  Google Scholar 

  8. Ćojbašić Ž, Petković D, Shamshirband S, Tong CW, Ch S, Janković P, Dučić N, Baralić J (2016) Surface roughness prediction by extreme learning machine constructed with abrasive water jet. Precis Eng 43:86–92. https://doi.org/10.1016/j.precisioneng.2015.06.013

    Article  Google Scholar 

  9. Çaydaş U, Hasçalık A (2008) A study on surface roughness in abrasive waterjet machining process using artificial neural networks and regression analysis method. J Mater Process Technol 202(1):574–582. https://doi.org/10.1016/j.jmatprotec.2007.10.024

    Article  Google Scholar 

  10. Qiang Z, Wu M, Miao X, Sawhney R (2018) CFD research on particle movement and nozzle wear in the abrasive water jet cutting head. Int J Adv Manuf Technol 95(9-12):4091–4100. https://doi.org/10.1007/s00170-017-1504-6

    Article  Google Scholar 

  11. Liu H, Wang J, Kelson N, Brown RJ (2004) A study of abrasive waterjet characteristics by CFD simulation. J Mater Process Technol 153-154:488–493. https://doi.org/10.1016/j.jmatprotec.2004.04.037

    Article  Google Scholar 

  12. Wang J (2009) Particle velocity models for ultra-high pressure abrasive waterjets. J Mater Process Technol 209(9):4573–4577. https://doi.org/10.1016/j.jmatprotec.2008.10.021

    Article  Google Scholar 

  13. Eltobgy MS, Ng E, Elbestawi MA (2005) Finite element modeling of erosive wear. Int J Mach Tools Manuf 45(11):1337–1346. https://doi.org/10.1016/j.ijmachtools.2005.01.007

    Article  Google Scholar 

  14. Anwar S, Axinte DA, Becker AA (2013) Finite element modelling of abrasive waterjet milled footprints. J Mater Process Technol 213(2):180–193. https://doi.org/10.1016/j.jmatprotec.2012.09.006

    Article  Google Scholar 

  15. Anwar S, Axinte DA, Becker AA (2013) Finite element modelling of overlapping abrasive waterjet milled footprints. Wear 303(1-2):426–436. https://doi.org/10.1016/j.wear.2013.03.018

    Article  Google Scholar 

  16. Jianming W, Na G, Wenjun G (2010) Abrasive waterjet machining simulation by SPH method. Int J Adv Manuf Technol 50(1-4):227–234. https://doi.org/10.1007/s00170-010-2521-x

    Article  Google Scholar 

  17. Dong X, Li Z, Jiang C, Liu Y (2019) Smoothed particle hydrodynamics (SPH) simulation of impinging jet flows containing abrasive rigid bodies. Comput Part Mech:1-23

  18. Finnie I (1967) Erosion of metals by solid particles. J Mater 2:682

    Google Scholar 

  19. Bitter JGA (1963) A study of erosion phenomena part I. Wear 6(1):5–21. https://doi.org/10.1016/0043-1648(63)90003-6

    Article  Google Scholar 

  20. Hashish M (1989) A model for abrasive-waterjet (AWJ) machining. J Eng Mater Technol 111

  21. Wenjun G, Jianming W, Na G (2010) Numerical simulation for abrasive water jet machining based on ALE algorithm. Int J Adv Manuf Technol 53(1-4):247–253. https://doi.org/10.1007/s00170-010-2836-7

    Article  Google Scholar 

  22. Feng Y, Jianming W, Feihong L (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. https://doi.org/10.1007/s00170-011-3495-z

    Article  Google Scholar 

  23. Haghbin N, Khakpour A, Schwartzentruber J, Papini M (2019) Measurement of abrasive particle velocity and size distribution in high pressure abrasive slurry and water micro-jets using a modified dual disc anemometer. J Mater Process Technol 263:164–175. https://doi.org/10.1016/j.jmatprotec.2018.08.014

    Article  Google Scholar 

  24. Momber AW, Kovacevic R (2012) Principles of abrasive water jet machining. Springer Science & Business Media,

    MATH  Google Scholar 

  25. LSTC (2019) LS-DYNA keyword user’s manual, vol I. Livemore Software Technology Corporation, California

  26. Yanaida K, Ohashi SA Flow characteristics of water jets in air. In: Proceedings of the 5th International Symposium on Jet Cutting Technology, United Kingdom (GBR), 1980. pp 33-44

  27. Momber A, Kovacevic R (1995) Energy dissipative processes in high speed water-solid particle erosion. In Proceedings of the ASME Heat Transfer and Fluids Engineering Division. American Society of Mechanical Engineers, New York

  28. 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 111:3519–3533. https://doi.org/10.1007/s00170-020-06340-4

    Article  Google Scholar 

  29. Wang F, Wang R, Zhou W, Chen G (2017) Numerical simulation and experimental verification of the rock damage field under particle water jet impacting. Int J Impact Eng 102:169–179. https://doi.org/10.1016/j.ijimpeng.2016.12.019

    Article  Google Scholar 

  30. Yreux E (2018) Fluid flow modeling with SPH in LS-DYNA. Paper presented at the 15th International LS-DYNA Conference, Detroit,

  31. Hashish M (2015) Waterjet machining process. In: Nee AYC (ed) Handbook of manufacturing engineering and technology. Springer London, London, pp 1651–1686. https://doi.org/10.1007/978-1-4471-4670-4_75

    Chapter  Google Scholar 

  32. 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. https://doi.org/10.1007/s00170-020-05183-3

    Article  Google Scholar 

  33. Perec A, Pude F, Grigoryev A, Kaufeld M, Wegener K (2019) A study of wear on focusing tubes exposed to corundum-based abrasives in the waterjet cutting process. Int J Adv Manuf Technol 104:2415–2427. https://doi.org/10.1007/s00170-019-03971-0

    Article  Google Scholar 

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Funding

This work was supported by the National Natural Science Foundation of China (No. 51805476 and No. 91748204) and Science Fund for Creative Research Groups of National Natural Science Foundation of China (No.51821093).

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Authors and Affiliations

  1. State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China

    Mingming Du, Haijin Wang, Huiyue Dong, Yingjie Guo & Yinglin Ke

  2. Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, College of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China

    Mingming Du, Haijin Wang, Huiyue Dong, Yingjie Guo & Yinglin Ke

Authors
  1. Mingming Du
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  2. Haijin Wang
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  3. Huiyue Dong
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  4. Yingjie Guo
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Contributions

Mingming Du established the simulation model, designed the experiments, and completed the original draft of the research. Haijin Wang helped with the experiments and supplied critical revisions. Huiyue Dong is the project leader and provided crucial suggestions. Yingjie Guo offered key paper revisions to the article. Yinglin Ke participated in the paper revision.

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Correspondence to Haijin Wang.

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Du, M., Wang, H., Dong, H. et al. Numerical research on multi-particle movements and nozzle wear involved in abrasive waterjet machining. Int J Adv Manuf Technol 117, 2845–2858 (2021). https://doi.org/10.1007/s00170-021-07876-9

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  • DOI: https://doi.org/10.1007/s00170-021-07876-9

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