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Build an accurate 3D geometrical model of a soft knife profile of abrasive water jet

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Abstract

Virtual machining simulation is becoming an essential and vital tool currently in traditional machining process. With it, a series of trial machining can be avoided. However, the situation is different for high-energy-beam cutting. Till today, there is no accurate virtual cutting simulation tool that can accurately simulate the physical cutting process. As a soft knife, whose shape is changing dynamically, it is a great challenge to accurately define the tool shape and build an accurate 3D geometrical model to be used as a virtual model for simulation. Aiming at abrasive water jet (AWJ) machining, a new method to build a soft knife profile based on energy distribution analysis has been explored in this paper. Through 3D point cloud data of kerf profile, a 3D model of the abrasive water jet profile has been built under different working conditions. To evaluate the effectiveness of the self-defined tool shape, the compensation strategy based on 3D AWJ profile has been carried out in the actual cutting process. The results show that 3D AWJ profile is beneficial to improve the machining accuracy. And this method can be generalized to other high-energy-beam cutting tools such as laser and plasma.

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References

  1. Kusiak A (2017) Smart manufacturing must embrace big data. Nature 544:23–25. https://doi.org/10.1038/544023a

    Article  Google Scholar 

  2. Cao X, Zhao G, Xiao W (2022) Digital Twin–oriented real-time cutting simulation for intelligent computer numerical control machining. Proc Inst Mech Eng Part B: J Eng Manuf 236(1-2):5–15. https://doi.org/10.1177/09544054209378

    Article  Google Scholar 

  3. Pan L, Guo X, Luan Y, Wang H (2021) Design and realization of cutting simulation function of digital twin system of CNC machine tool. Proc Comput Sci 183(9):261–266. https://doi.org/10.1016/j.procs.2021.02.057

    Article  Google Scholar 

  4. Fei T, He Z, Liu A, Nee AYC (2019) Digital twin in industry: state-of-the-art. IEEE Trans Ind Inform 15(4):2405–2415. https://doi.org/10.1016/j.procs.2021.02.057

    Article  Google Scholar 

  5. He B, Bai K (2021) Digital twin-based sustainable intelligent manufacturing: a review. Adv Manuf 9:1–21. https://doi.org/10.1007/s40436-020-00302-5

    Article  Google Scholar 

  6. Campos A, Lozoya-Santos J, Vargas-Martínez A, Ramirez-Mendoza RA, Morales-Menendez R (2019) Digital twin applications: a review. AMCA

    Google Scholar 

  7. Wang M, Ma Y, Liu F (2022) A novel virtual cutting method for deformable objects using high-order elements combined with mesh optimisation. Int J Med Robot 18(5):e2423. https://doi.org/10.1002/rcs.2423

    Article  Google Scholar 

  8. Liu X, Liang Z, Wen G, Yuan X (2019) Waterjet machining and research developments: a review. Int J Adv Manuf Technol 102:1257–1335. https://doi.org/10.1007/s00170-018-3094-3

    Article  Google Scholar 

  9. Daniel K (2014) Comparison metal water jet cutting with laser and plasma cutting. Proc Eng 69:838–843. https://doi.org/10.1016/j.proeng.2014.03.061

    Article  Google Scholar 

  10. Hashish M (2015) WaterJet Machining Process. In: Nee A (ed) Handbook of Manufacturing Engineering and Technology. Springer, London. https://doi.org/10.1007/978-1-4471-4670-4_75

    Chapter  Google Scholar 

  11. Llanto JM, Tolouei-Rad M, Vafadar A, Aamir M (2021) Recent progress trend on abrasive waterjet cutting of metallic materials: a review. Appl Sci 11(8):3344. https://doi.org/10.3390/app11083344

    Article  Google Scholar 

  12. Zeng J, Munoz JP (1994) Intelligent automation of AWJ cutting for efficient production. In: Proceeding of the 12th International Conference on Jet Cutting Technology. BHRA, Rouen, pp 401–408

  13. Hashish M (2007) Benefits of dynamic waterjet angle compensation. 2007 American WJTA Conference and Expo, Houston, Texas, USA

    Google Scholar 

  14. Hlaváˇc LM (2009) Investigation of the abrasive water jet trajectory curvature inside the kerf. J Mater Process Technol 209:4154–4161. https://doi.org/10.1016/j.jmatprotec.2008.10.009

    Article  Google Scholar 

  15. Karthik K, Sundarsingh DS, Harivignesh M, Karthick RG, Praveen M (2021) Optimization of machining parameters in abrasive water jet cutting of stainless steel 304. Mater Today Proc 46:1384–1389. https://doi.org/10.1016/j.matpr.2021.02.489

    Article  Google Scholar 

  16. Wang S, Hu D, Yang F, Lin P (2021) Investigation on kerf taper in abrasive waterjet machining of aluminium alloy 6061-T6. J Mater Res Technol 15:427–433. https://doi.org/10.1016/j.jmrt.2021.08.012

    Article  Google Scholar 

  17. Llanto JM, Vafadar A, Aamir M, Tolouei-Rad M (2021) Analysis and optimization of process parameters in abrasive waterjet contour cutting of AISI 304L. Metals 11(9):1362. https://doi.org/10.3390/met11091362

    Article  Google Scholar 

  18. Hlaváč LM, Annoni MPG, Hlaváčová IM, Arleo F, Viganò F, Štefek A (2021) Abrasive waterjet (AWJ) forces—potential indicators of machining quality. Materials 14(12):3309. https://doi.org/10.3390/ma14123309

    Article  Google Scholar 

  19. Natarajan Y, Murugesan PK, Mohan M, Khan SALA (2020) Abrasive water jet machining process: a state of art of review. J Manuf Process 49:271–322. https://doi.org/10.1016/j.jmapro.2019.11.030

    Article  Google Scholar 

  20. CGTech (2012) VERICUT 7.2: adding power and simplicity where you want it!. https://www.cgtech.com/vericut-7-2.html, July 27, 2012. [accessed 15 March 2023]

  21. Henning A (1997) Computer aided manufacturing for three-dimensional abrasive water jet machining. In: Proceedings of the 9th American Waterjet Conference, Dearborn, Michigan, pp 729–742

  22. Currie IG (2016) Fundamental mechanics of fluids. CRC press

    Book  MATH  Google Scholar 

  23. Bogusławski L, Popiel C (1979) Flow structure of the free round turbulent jet in the initial region. J Fluid Mech 90(3):531–539. https://doi.org/10.1017/S0022112079002378

    Article  Google Scholar 

  24. Chen FL, Siores E (2001) The effect of cutting jet variation on striation formation in abrasive water jet cutting. Int J Mach Tools Manuf 41(10):1479–1486. https://doi.org/10.1016/S0890-6955(01)00013-X

    Article  Google Scholar 

  25. Balz R, Heiniger KC (2011) Determination of spatial velocity distributions of abrasive particles in abrasive water jets using laser-induced fluorescence under real conditions. In: Proceedings of 16th WJTA-IMCA Conference and Expo. WJTA-IMCA, Houston, TX

  26. Ke Y, Mao G, Ouyang D, Liu Z (2017) Analysis of abrasive distribution for high pressure abrasive waterjet. Mining Metall Eng 37(5):30–34. https://doi.org/10.3969/j.issn.0253-6099.2017.05.007

    Article  Google Scholar 

  27. Chen J, Yuan Y, Gao H, Zhou T, Wu Z (2022) Predictive modeling approach for the jet lag in multi-pass cutting of thick materials using abrasive waterjet. J Manuf Process 83:143–156. https://doi.org/10.1016/j.jmapro.2022.08.059

    Article  Google Scholar 

  28. Chen M, Zhang S, Zeng J (2020) Exploring the effectiveness of a self-defined virtual cutting method with a “soft knife”. Int J Adv Manuf Technol 106(6). https://doi.org/10.1007/s00170-019-04803-x

  29. Zeng J, Kim TJ (1992) Development of an abrasive waterjet kerf cutting model for brittle materials. In: Lichtarowicz A (ed) Jet cutting technology. Fluid mechanics and its applications, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2678-6_33

    Chapter  Google Scholar 

  30. Zhang S, Ji L, Wu Y, Chen M (2020) Zhou W (2020) Exploring a new method to obtain the 3D abrasive water jet profile. Int J Adv Manuf Technol 107:4797–4809. https://doi.org/10.1007/s00170-020-05185-1

    Article  Google Scholar 

  31. Fitzgibbon A, Pilu M, Fisher RB (1999) Direct least square fitting of ellipses. IEEE Trans Pattern Anal Mach Intell 21(5):476–480. https://doi.org/10.1109/34.765658

    Article  Google Scholar 

  32. Zeng J (2007) Determination of machinability and abrasive cutting properties in AWJ cutting. 2007 American WJTA Conference and Expo, Houston, Texas, pp 19–21

    Google Scholar 

Download references

Acknowledgements

This work was supported by the National Natural Science Foundation of China [grant number 52075313]; and the Science and Technology Innovation 2030-Key Project of New Generation Artificial Intelligence, China [grant number 2021ZD0113102].

Funding

This work was supported by the National Natural Science Foundation of China (grant number 52075313) and the Science and Technology Innovation 2030-Key Project of New Generation Artificial Intelligence, China (grant number 2021ZD0113102).

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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by MC and SZ. The first draft of the manuscript was written by MC, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Shijin Zhang.

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Chen, M., Zhang, S., Wu, Y. et al. Build an accurate 3D geometrical model of a soft knife profile of abrasive water jet. Int J Adv Manuf Technol 129, 2475–2489 (2023). https://doi.org/10.1007/s00170-023-12428-4

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