Optimization of size and form characteristics using multi-objective grey analysis in abrasive water jet drilling of Inconel 617

  • Anish Nair
  • Somasundaram Kumanan
Technical Paper


Inconel 617, a group D category of Superalloys, is the prime material for ultra-supercritical power plant components. Nontraditional machining methods are explored for machining Inconel 617 as the traditional processes are limited. Abrasive water jet machining is very promising in processing hard-to-machine materials and machining of superalloys using abrasive water jet machining needs attention. This paper focuses on establishing hole characteristics in abrasive water jet drilling using multi-objective grey analysis. The form and orientation characteristics of the hole are defined using entry and exit hole overcut, entry and exit hole circularity, taper angle of hole and depth averaged radial overcut apart from drill rate and surface roughness. The process parameters are water jet pressure, standoff distance, and abrasive mass flow rate. Analysis of variance of the individual responses is used to identify the pattern in which each parameter affects the performance of the process. Interaction effects of the various factors have been elaborated using plots. Analysis of means was conducted to obtain the mean effects plot. The results from analysis of variance and analysis of means were compared and good correlation was obtained. The parameter levels for obtaining optimal individual responses were identified and reported. Grey relational analysis combines the attributes of each of the responses into a single grey grade. The grey grade represents the overall hole characteristic of the drilled hole. Analysis of means of the grey grade gives the optimal parameter setting. The adjudged optimal parameters are tested experimentally and reported.


Abrasive water jet drilling Superalloy Form and orientation tolerances Analysis of variance Grey relational analysis 


  1. 1.
    Narula R (2013) Impacts of steam conditions on plant materials and operations in ultra-supercritical coal power plants. Woodhead Publishing Limited, Cambridge, pp 23–56. CrossRefGoogle Scholar
  2. 2.
    Zhang D (2013) Ultra-supercritical coal power plants. Woodhead Publishing, CambridgeCrossRefGoogle Scholar
  3. 3.
    Choudhury IA, El-Baradie MA (1998) Machinability of nickel-base super alloys: a general review. J Mater Process Technol 77(1–3):278–284. CrossRefGoogle Scholar
  4. 4.
    Liu X, Yu T, Wang W (2006) Prediction of the cutting depth of abrasive suspension jet using a BP artificial neural network. IFIP Int Fed Inf Process 207:563–569. Google Scholar
  5. 5.
    Uthayakumar M, Khan MA, Kumaran ST, Slota A (2016) Machinability of nickel based superalloy by abrasive water jet machining. Mater Manuf Process. Google Scholar
  6. 6.
    Escobar-Palafox GA, Gault RS, Ridgway K (2012) Characterisation of abrasive water-jet process for pocket milling in Inconel 718. Procedia CIRP 1(1):404–408. CrossRefGoogle Scholar
  7. 7.
    Nair A, Kumanan S (2016) Multi performance optimization of abrasive water jet machining of Inconel 617 using WPCA. Mater Manuf Process. Google Scholar
  8. 8.
    Zhu D, Xu HY (2002) Improvement of electrochemical machining accuracy by using dual pole tool. J Mater Process Technol 129:15–18CrossRefGoogle Scholar
  9. 9.
    Zhu D, Wang W, Fang XL, Qu NS, Xu ZY (2010) Electrochemical drilling of multiple holes with electrolyte-extraction. CIRP Ann Manuf Technol 59(1):239–242. CrossRefGoogle Scholar
  10. 10.
    Sen M, Shan HS (2005) A review of electrochemical macro- to micro-hole drilling processes. Int J Mach Tools Manuf 45(2):137–152. MathSciNetCrossRefGoogle Scholar
  11. 11.
    Junkar M, Orbanic H (2013) An experimental study of drilling small and deep blind holes with an abrasive water jet. In: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management: Theory and Apply of Industrial Engineering, vol 218, pp 33–40.
  12. 12.
    Akkurt A (2009) The effect of material type and plate thickness on drilling time of abrasive water jet drilling process. Mater Des 30(3):810–815. CrossRefGoogle Scholar
  13. 13.
    Palleda M (2007) A study of taper angles and material removal rates of drilled holes in the abrasive water jet machining process. J Mater Process Technol 189(1–3):292–295. CrossRefGoogle Scholar
  14. 14.
    Kowsari K, Nouraei H, James DF, Spelt JK, Papini M (2014) Abrasive slurry jet micro-machining of holes in brittle and ductile materials. J Mater Process Technol 214(9):1909–1920. CrossRefGoogle Scholar
  15. 15.
    Bilgi DS, Jain VK, Shekhar R, Mehrotra S (2004) Electrochemical deep hole drilling in super alloy for turbine application. J Mater Process Technol 149(1–3):445–452. CrossRefGoogle Scholar
  16. 16.
    Manikandan N, Kumanan S, Sathiyanarayanan C (2015) Multi response optimization of electrochemical drilling of titanium Ti6Al4V alloy using Taguchi based grey relational analysis. Indian J Eng Mater Sci 22(2):153–160Google Scholar
  17. 17.
    Selvarajan L, Sathiyanarayanan C, Jeyapaul R (2015) Optimisation of EDM parameters on machining Si3N4–TiN composite for improving circularity, cylindricity and perpendicularity. Mater Manuf Process 6914(October):1–31. Google Scholar
  18. 18.
    Selvarajan L, Sathiya Narayanan C, Jeyapaul R, Manohar M (2016) Optimization of EDM process parameters in machining Si3N4–TiN conductive ceramic composites to improve form and orientation tolerances. Measurement 92:114–129. CrossRefGoogle Scholar
  19. 19.
    Liu S, Lin Y (2011) Grey systems: theory and applications. Springer, Berlin. CrossRefzbMATHGoogle Scholar

Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2018

Authors and Affiliations

  1. 1.Department of Production EngineeringNational Institute of Technology TiruchirappalliTiruchirappalliIndia

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