Optimization of Process Parameters in Wire Electrical Discharge Machining of Inconel X-750 for Dimensional Deviation Using Taguchi Technique
The effective optimization of machining process parameters affects dramatically the cost and production time of machined components as well as the quality of the final products. This paper presents the optimization aspects of a Wire Electrical Discharge Machining operation using Inconel X-750 as work material. The objective considered in this study is minimization of the dimensional deviation. Six input process parameters of WEDM namely spark gap voltage, pulse-on time, pulse-off time, wire feed rate, peak current and wire tension, were chosen as variables to study the process performance. Taguchi's design of experiments methodology has been used for planning and designing the experiments. The analysis of variance was carried out for raw data as well as for signal to noise ratio. Four input parameters and one two-factor interaction have been found to be statistically significant for their effects on the response of interest. The confirmation experiments were also performed for validating the predicted results.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1124661Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1091
 Antar M.T.; Soo S.L.; Aspinwall D.K.; Jones D.; Perez R. Productivity and workpiece surface integrity when WEDM aerospace alloys using coated wires. Procedia Engineering 2011, 19, 3-8.
 Chiang K.T.; Chang F.P. Optimization of the WEDM process of particle-reinforced material with multiple performance characteristics using grey relational analysis. Journal of Materials Processing Technology 2006, 180(1-3), 96-101.
 Gokler M.I.; Ozanozgu A.M. Experimental investigation of effects of cutting parameters on surface roughness in the WEDM process. International Journal of Machine Tools and Manufacture 2000, 40(13), 1831-1848.
 Hascalyk A.; Caydas U. Experimental study of wire electrical discharge machining of AISI D5 tool steel. Journal of Materials Processing Technology 2004, 148(3), 362-367.
 Hewidy M.S., El-Taweel T.A. & El-Safty M.F. Modelling the machining parameters of wire electrical discharge machining of Inconel 601 using RSM. Journal of Materials Processing Technology 2006, 169(2), 328-336.
 Kuriakose S.; Shunmugam M.S. Multi-objective optimization of wire-electro discharge machining process by Non-Dominated Sorting Genetic Algorithm. Journal of Materials Processing Technology 2005, 170(1–2), 133-141.
 Liao Y.S.; Huang J.T.; Chen Y.H. A study to achieve a fine surface finish in Wire-EDM. Journal of Materials Processing Technology 2004, 149(1-3), 165-171.
 Miller S.F.; Shih A.J.; Qu J. Investigation of the spark cycle on material removal rate in wire electrical discharge machining of advanced materials. International Journal of Machine Tools and Manufacture 2003, 44(4), 391-400.
 Muthuraman V.; Ramakrishnan R. Multi parametric optimization of WC-Co composites using Desirability Approach. Procedia Engineering 2012, 38, 3381-3390.
 Puri, A.B.; Bhattacharyya, B. An analysis and optimization of the geometrical inaccuracy due to wire lag phenomenon in WEDM. International Journal of Machine Tools & Manufacture 2003, 43, 151–159.
 Ross, P.J. Taguchi techniques for quality engineering; McGraw Hill: New York, NY, 1996.
 Shichun D.; Xuyang C.; Dongbo W.; Zhenlong W.; Guanxin C.; Yuan L. Analysis of kerf width in micro-WEDM. International Journal of Machine Tools and Manufacture 2009, 49(10), 788-792.
 Singh H., Garg R. Effects of process parameters on material removal rate in WEDM. Journal of Achievements in Material and Manufacturing Engineering 2009, 32(1), 70-74.
 Singh H., Khanna R. Parametric Optimization of Cryogenic-Treated D-3 for Cutting Rate in Wire Electrical Discharge Machining. Journal of Engineering and Technology 2011, 1(2), 59-64.