Parametric Optimization of Abrasive Water Jet Machining of Beryllium Copper Using Taguchi Grey Relational Analysis
Abrasive water jet machining is a non-conventional machining process to machine complicated intricate shapes, abrasive water jet machine is most suited as it can cut both conducting and nonconductive material with better finish. Beryllium copper grade C25 is used as a material for machining considering its applications in petroleum nozzle washer used in petroleum products and also in marine, aerospace industries. In this work, the predominant process parameters like pressure, abrasive flow, and standoff distance are varied to obtain optimum values of response parameters like (MRR) material removal rate and surface roughness. Since the multi-response optimisation cannot be performed by conventional Taguchi method, Grey-Taguchi methodology is used. Abrasive flow rate and standoff distance are the most influenced process parameters to obtain higher MRR and also for better surface-roughness. After obtaining the optimised values for machining parameters using Grey-Taguchi Methodology. A confirmatory test is performed to test the integrity of the obtained results.
KeywordsTaguchi method Abrasive flow Standoff distance MRR
- 1.Korat, M.M., Acharya, G.D.: A review on current research and development in abrasive waterjet machining. Int. J. Eng. Res. Appl. 4(1) (Version 2) (2014)Google Scholar
- 2.Liu, H., Wang, J., Kelson, N., Browna, R.J.: A study of abrasive waterjet characteristics by CFD simulation. J. Mater. Process. Technol. 153–154, 488–493 (2004)Google Scholar
- 4.Chithirai Pon Selvan, M., Mohana Sundara Raju, N: Analysis of surface roughness on abrasive water jet cutting on cast iron. Int. J. Sci. Environ. Technol. 1(3), 174–182 (2012)Google Scholar
- 5.Azmir, M.A., Ahsan, A.K., Rahman, A., Noor, M.M., Aziz, A.A.: Optimization of Abrasive of waterjet machining process parameters using orthogonal arrays with grey relational analysis. In: Regional Conference on Engineering Mathematics, Mechanics, Manufacturing & Architecture (EM 3 ARC). Computational & Experimental Mechanics Research Group (2007)Google Scholar
- 6.Nagdeve L, Chaturvedi V, Vimal J.: Parametric optimization of abrasive waterjet machining using Taguchi methodology. IJREAS 2(6) (2012)Google Scholar