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Parametric Optimization of WEDM Characteristics on Inconel 825 using Desirability Research
Pawan Kumar1, Meenu Gupta2, Vineet Kumar3 

1Pawan Kumar, Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, India.
2Meenu Gupta, Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, India.
3Vineet Kumar, Department of Mechanical Engineering, UIET, Maharishi Dayanand University, Rohtak, India.

Manuscript received on 07 March 2019 | Revised Manuscript received on 14 March 2019 | Manuscript published on 30 July 2019 | PP: 4992-4996 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1076078219/19©BEIESP | DOI: 10.35940/ijrte.B1076.078219
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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: The present research focuses on the optimization of wire-cut electric discharge machining (WEDM) parameters. In this study, RSM based multi-response desirability method is used to optimize the WEDM characteristics for single and multiple responses. Input parameters of WEDM viz. pulse-on time, pulse-off time, spark gap voltage, wire tension, peak current, wire feed and performance was measured in terms of material removal rate (MRR) and surface roughness (SR). WEDM is a nontraditional method uses the spark erosion principle to produce the intricate shape and profiles of difficult-to-cut material. Inconel 825 is increasing in demand in the aerospace industry for more heat resistant and tough material. Because of its robust nature, it is difficult to be machined with conventional methods. WEDM is best alternate to overcome this problem. It has been observed that at Ton 111 MU, Toff 35 MU, SV 46V, IP 140A, WT 9 MU and WF 6 m/min, the values obtained for MRR and SR are 32.015mm2/min and 2.528 μm respectively.
Keywords: Wire-cut Electrical Discharge Machining; Material Removal Rate; Surface Roughness; Inconel 825; Response Surface Methodology; Desirability

Scope of the Article: Discrete Optimization