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Development of an algorithm for optimum control process to compensate the nozzle wear effect in cutting the hard and tough material using abrasive water jet cutting process

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Abstract

In the process of abrasive water jet cutting, the change of nozzle diameter, due to nozzle wearing throughout cutting process, causes a decrease in surface quality and an increase in kerf width. In this paper, a series of experiments have been done to determine the effect of process parameters and the results show that traverse speed and nozzle diameter are significant parameters on the kerf quality and geometry, and a control program algorithm is suggested to compensate the effect of nozzle diameter increase on cut surface quality and kerf width and the control program creates an offset with required amount in nozzle path.

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References

  1. Hashish M (1988) Visualization of the abrasive waterjet cutting process. Experim Mech 28/2:159–169

    Article  Google Scholar 

  2. Brissaud BD, Junkar M (2004) Monitoring of abrasive water jet (AWJ) cutting using sound detection. Int J Adv Manuf Technol 24:733–737

    Article  Google Scholar 

  3. Nanduri M, Taggart DG, Kim TJ (2000) A study of nozzle wear in abrasive entrained water jetting environment. Journal of Tribology 122:465–471

    Article  Google Scholar 

  4. Nanduri M, Taggart DG, Kim TJ (1999) Cutting efficiency of abrasive waterjet nozzles. 10th American Waterjet Conference, paper 15

  5. Nanduri M, Taggart DG, Kim TJ (2002) The effects of system and geometric parameters on abrasive water jet nozzle wear. Int J Mach Tools Manuf 42:615–623

    Article  Google Scholar 

  6. Mort GA (1991) Long life abrasive water jet nozzles and their effect on AWJ cutting. 6th American Water Jet Conference 315–344

  7. Kovacevi R (1992) Monitoring the depth of abrasive waterjet penetration. Int J Mach Tools Manufact 32(5):725–736

    Article  Google Scholar 

  8. Hloch S, Valíček J (2009) Focusing tube wear influence on surface quality at abrasive waterjet cutting. Mach Techn Maters 3(11–12):18–20

    Google Scholar 

  9. Jegaraj JR, Babu NR (2007) A soft computing approach for controlling the quality of cut with abrasive waterjet cutting system experiencing orifice and focusing tube wear. J Mater Process Technol 185:217–227

    Article  Google Scholar 

  10. Orbanic H, Junkar M (2008) Analysis of striation formation mechanism in abrasive water jet cutting. Wear 265:821–830

    Article  Google Scholar 

  11. Magyari A, Ilias N, Radu S, Magyari AA (1999) The influence of rocks parameters during the cutting. 10th American Waterjet Conference, 35

  12. El-Domiaty AA, Abdel-Rahman AA (1997) Fracture mechanics-based model of abrasive waterjet cutting for brittle materials. Int J Adv Manuf Technol 13:172–181

    Article  Google Scholar 

  13. Laurinat A, Louis H, Wiechert GM (1993) A model for milling with abrasive water jet. 7th American Water Jet Conference, 119–139

  14. Guo NS, Louis H, Meier G (1993) Surface structure and kerf geometry in abrasive water jet cutting: formation and optimization. 7th American Water Jet Conference, 1–25

  15. Azmir MA, Ahsan AK (2009) A study of abrasive water jet machining process on glass/epoxy composite laminate. J Mater Process Technol 209:6168–6617

    Article  Google Scholar 

  16. Shanmugama DK, Masoodb SH (2009) An investigation on kerf characteristics in abrasive waterjet cutting of layered composites. J Mater Process Technol 209:3887–3893

    Article  Google Scholar 

  17. El-Domiaty AA, Shabara MA, Abdel-Rahman AA, AI-Sabeeh AK (1996) On the modelling of abrasive waterjet cutting. Int J Adv Manuf Technol 12:255–265

    Article  Google Scholar 

  18. Kulekci MK (2002) Processes and apparatus developments in industrial waterjet applications. Int J Mach Tools Manuf 42:1297–1306

    Article  Google Scholar 

  19. Chetty OVK, Babu NR (1999) Some investigations on abrasives in abrasive waerjet machining. 10th American Waterjet Conference, paper 30

  20. Benyounis KY, Olabi AG, Hashmi MSJ (2008) Multi-response optimization of CO2 laser-welding process of austenitic stainless steel. Optics Laser Technol 40:76–87

    Article  Google Scholar 

  21. Montgomery DC (2008) Design and analysis of experiments, 7th edn. Wiley, New York

    Google Scholar 

  22. Lin BT, Jean DM, Chou JH (2007) Using response surface methodology for optimizing deposited partially stabilized zirkonia in plasma spraying. Appl Surf Sci 253:3254–3262

    Article  Google Scholar 

  23. Shanmugam DK, Wang J, Liu H (2008) Minimisation of kerf tapers in abrasive waterjet machining of alumina ceramics using a compensation technique. Int J Mach Tools Manuf 48:1527–1534

    Article  Google Scholar 

  24. Chalmers EJ (1991) Effect of parameter selection on abrasive waterjet performance. Proceedings of 6th American Waterjet Conference, 345–354

  25. Jegaraj JJR, Babu NR (2003) Fuzzy based control strategy for condition monitoring of abrasive waterjet using vacuum sensor. Proceedings of the International Conference on Leading Edge Manufacturing in 21st Century, 1039–1046

  26. Caydas U, Hascalık A (2008) A study on surface roughness in abrasive waterjet machining process using artificial neural networks and regression analysis method. J Mater Process Technol 202:574–582

    Article  Google Scholar 

  27. Srinivasu DS, Babu NR (2008) A neuro-genetic approach for selection of process parameters in abrasive waterjet cutting considering variation in diameter of focusing nozzle. Appl Soft Comput 8:809–819

    Article  Google Scholar 

  28. Valicek J, Holoch S (2010) Using the acoustic sound pressure level for quality prediction of surfaces created by abrasive waterjet. Int J Adv Manuf Technol 48(1–4):193–203

    Article  Google Scholar 

  29. Lebar A, Junkar M, Poredos A, Cvjeticanin M (2010) Method for online quality monitoring of AWJ cutting by infrared thermography. CIRP J Manuf Sci Technol 2:170–175

    Article  Google Scholar 

  30. Orbanic H, Junkar M, Bajsic I, Lebar A (2009) An instrument for measuring abrasive water jet diameter. Int J Mach Tools Manuf 49:843–849

    Article  Google Scholar 

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, K. N. Toosi University of Technology, P. O. Box, 19395-1999, Tehran, Iran

    Mehdi Zohoor & S. Hadi Nourian

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  1. Mehdi Zohoor
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  2. S. Hadi Nourian
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Correspondence to S. Hadi Nourian.

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Zohoor, M., Nourian, S.H. Development of an algorithm for optimum control process to compensate the nozzle wear effect in cutting the hard and tough material using abrasive water jet cutting process. Int J Adv Manuf Technol 61, 1019–1028 (2012). https://doi.org/10.1007/s00170-011-3761-0

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  • DOI: https://doi.org/10.1007/s00170-011-3761-0

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