Abrasive Water Jet Machining of Metallic Materials

  • JagadishEmail author
  • Kapil Gupta
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)


Abrasive water jet machining (AWJM) is a widely accepted sustainable machining method used to machine difficult-to-cut materials in view of both environmental and economic benefits. This chapter discusses the machining performance of sustainable/green machining method on AISI 304 grade steel material. Five process parameters, namely abrasive grain size (A), abrasive flow rate (B), nozzle speed (C), working pressure (D), and standoff distance (E), are used to know the green machining attributes like MRR, process time, surface roughness, and process energy. Experimentation is done using Taguchi (L27) orthogonal array to study the influence of each process parameters on the green machining parameters. Additionally, regression analysis and ANOVA are done to show the statistical significance of the green machining process. At last, the DEAR method is used for the optimization of green machining attributes of AWJM process. The results show that AWJM process is an adequate process for machining of metallic materials and produces high-quality parts with excellent productivity and less environmental pollution. The overall optimal setting obtained is A (60 mesh, level 1), B (1.5 mm, level 1), C (150 MPa, level 1), D (225 mm/min, level 3), and E (5 g/s, level 2). The corresponding green attributes obtained are SR as 1.84 μm, MRR as 468 mm3/min, PT as 0.128 s, and PE as 769 W. Finally, confirmatory results for MRR, SR, PT, PE are found closer to the experimental results and well within the considerable ranges and satisfactory.


Abrasive Machining Metallic material Taguchi method Optimization Water jet 


  1. 1.
    G. Kibria, B. Bhattacharyya, J.P. Davim, Non-traditional Micromachining Processes (Springer, 2017)Google Scholar
  2. 2.
    E. Kuram, B. Ozcelik, E. Demirbas, Environmentally friendly machining: vegetable based cutting fluids, in Green Manufacturing Processes and Systems (Springer, Berlin, Heidelberg, 2013), pp. 23–47Google Scholar
  3. 3.
    D.P. Adler, W.W.S. Hii, D.J. Michalek, J.W. Sutherland, Examining the role of cutting fluids in machining and efforts to address associated environmental/health concerns. Mach. Sci. Technol. 10(1), 23–58 (2006)CrossRefGoogle Scholar
  4. 4.
    G. Byrne, E. Scholta, Environmentally clean machining processes—a strategic approach. CIRP Ann. Manuf. Technol. 42(1), 471–474 (1993)CrossRefGoogle Scholar
  5. 5.
    Y.M. Shashidhara, S.R. Jayaram, Vegetable oils as a potential cutting fluid—an evolution. Tribol. Int. 43(5–6), 1073–1081 (2010)CrossRefGoogle Scholar
  6. 6.
    J.P. Davim, Non-traditional machining processes, in Manufacturing Process Selection Handbook (2013), pp. 205–226Google Scholar
  7. 7.
    Y.C. Lin, J.C. Hung, H.M. Chow, A.C. Wang, J.T. Chen, Machining characteristics of a hybrid process of EDM in gas combined with ultrasonic vibration and AJM. Procedia CIRP 42, 167–172 (2016)CrossRefGoogle Scholar
  8. 8.
    C.T. Pan, H. Hocheng, Laser machining and its associated effects, in Advanced Analysis of Non-traditional Machining (Springer, New York, NY, 2013), pp. 1–64Google Scholar
  9. 9.
    M. Ramulu, D. Arola, Water jet and abrasive water jet cutting of unidirectional graphite/epoxy composite. Composites 24(4), 299–308 (1993)CrossRefGoogle Scholar
  10. 10.
    D. Fratila, Sustainable manufacturing through environmentally-friendly machining, in Green Manufacturing Processes and Systems (Springer, Berlin, Heidelberg, 2013), pp. 1–21Google Scholar
  11. 11.
    K. Gupta, R.F. Laubscher, J.P. Davim, N.K. Jain, Recent developments in sustainable manufacturing of gears: a review. J. Clean. Prod. 112, 3320–3330 (2016)CrossRefGoogle Scholar
  12. 12.
    Y. Meng, Y. Yang, H. Chung, P.H. Lee, C. Shao, Enhancing sustainability and energy efficiency in smart factories: a review. Sustainability 10(12), 4779 (2018)CrossRefGoogle Scholar
  13. 13.
    U.S. Dixit, D.K. Sarma, J.P. Davim, Environmentally Friendly Machining (Springer Science & Business Media, 2012)Google Scholar
  14. 14.
    J. Wang, W.C.K. Wong, A study of abrasive waterjet cutting of metallic coated sheet steels. Int. J. Mach. Tools Manuf. 39(6), 855–870 (1999)CrossRefGoogle Scholar
  15. 15.
    T.C. Phokane, K. Gupta, Sustainable manufacturing of precision miniature gears by abrasive water jet machining-an experimental study, in Proceedings: 15th International Conference on Manufacturing Research (ICMR) (2017)Google Scholar
  16. 16.
    A.W. Momber, R. Kovacevic, Principles of Abrasive Water Jet Machining (Springer Science & Business Media, 2012)Google Scholar
  17. 17.
    J.Y. Sheikh-Ahmad, Machining of Polymer Composites (Springer, New York, 2009), pp. 164–165CrossRefGoogle Scholar
  18. 18.
    V. Gupta, P.M. Pandey, M.P. Garg, R. Khanna, N.K. Batra, Minimization of kerf taper angle and kerf width using Taguchi’s method in abrasive water jet machining of marble. Procedia Mater. Sci. 6, 140–149 (2014)CrossRefGoogle Scholar
  19. 19.
    M. Shukla, Abrasive water jet milling, in Non-traditional Machining Processes (Springer, London, 2013), pp. 177–203CrossRefGoogle Scholar
  20. 20.
    R.A.D.O.V.A.N. Kovacevic, Surface texture in abrasive waterjet cutting. J. Manuf. Syst. 10(1), 32–40 (1991)CrossRefGoogle Scholar
  21. 21.
    Jagadish, K. Gupta, M. Rajakumaran, Evaluation of machining performance of pineapple filler based reinforced polymer composites using abrasive water jet machining process. IOP Conf. Ser. Mater. Sci. Eng. 430(1), 012046. IOP Publishing (2018)Google Scholar
  22. 22.
    M. Hashish, A modeling study of metal cutting with abrasive waterjets. J. Eng. Mater. Technol. 106(1), 88–100 (1984)CrossRefGoogle Scholar
  23. 23.
    A. Akkurt, The effect of cutting process on surface microstructure and hardness of pure and Al 6061 aluminium alloy. Eng. Sci. Technol. 18(3), 303–308 (2015)Google Scholar
  24. 24.
    K.R. Kumar, V.S. Sreebalaji, T. Pridhar, Characterization and optimization of abrasive water jet machining parameters of aluminium/tungsten carbide composites. Measurement 117, 57–66 (2018)CrossRefGoogle Scholar
  25. 25.
    R.H.M. Jafar, H. Nouraei, M. Emamifar, M. Papini, J.K. Spelt, Erosion modeling in abrasive slurry jet micro-machining of brittle materials. J. Manuf. Process. 17, 127–140 (2015)CrossRefGoogle Scholar
  26. 26.
    M. Santhanakumar, R. Adalarasan, M. Rajmohan, Parameter design for cut surface characteristics in abrasive waterjet cutting of Al/SiC/Al2O3 composite using grey theory based RSM. J. Mech. Sci. Technol. 30(1), 371–379 (2016)CrossRefGoogle Scholar
  27. 27.
    F. Cavallaro, Multi-criteria decision aid to assess concentrated solar thermal technologies. Renew. Energy 34(7), 1678–1685 (2009)CrossRefGoogle Scholar
  28. 28.
    P. Aragonés-Beltrán, F. Chaparro-González, J.P. Pastor-Ferrando, A. Pla-Rubio, An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy 66, 222–238 (2014)CrossRefGoogle Scholar

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© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringNational Institute of TechnologyRaipurIndia
  2. 2.Department of Mechanical and Industrial Engineering TechnologyUniversity of JohannesburgJohannesburgSouth Africa

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