Taguchi Method Implementation in Abrasive Waterjet Machining Process Optimization
P. P. Badgujar1, M. G. Rathi2
1P. P. Badgujar, Mechanical Engineering Department, Government College of Engineering, Aurangabad, (M.S), India.
2M. G. Rathi, Mechanical Engineering Department, Government College of Engineering, Aurangabad, (M.S), India.
Manuscript received on May 22, 2014. | Revised Manuscript received on June 15, 2014. | Manuscript published on June 30, 2014. | PP: 66-70 | Volume-3, Issue-5, June 2014. | Retrieval Number: E3110063514/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Abrasive waterjet machining (AWJM) is a non-conventional metal removal process as well as one of the best manufacturing processes suitable for machining on very hard material. The objective of this paper is to optimize the input parameters of AWJM, such as pressure within pumping system, abrasive material grain size, stand-off distance, nozzle speed and abrasive mass flow rate for machining SS304. The Taguchi design of experiment, the signal-to-noise ratio, and analysis of variance are employed to analyze the effect of the input parameters by adopting L27 Taguchi orthogonal array (OA). In order to achieve the minimum surface roughness (SR), five controllable factors, i.e. the parameters of each at three levels are applied for determining the optimal combination of factors and levels. The results reveal that the SR is greatly influence by the abrasive material grain size. Experimental results affirm the effectiveness of the solving the stated problem within minimum number of experiments as compared to that of full factorial design.
Keywords: Surface roughness, Taguchi method.