A Fuzzy Modelling for Selection of Machining Parameters in Wire Electrical Discharge Machining of D2 Steel
Santosh Patro1, I. Harish2, P. Srinivasa Rao3
1Santosh Patro*, Department of Mechanical Engineering, Centurion University of Technology and Management, Odisha, India.
2I Harish, Department of Mechanical Engineering , DNR College of Engineering and Technology, Andhra Pradesh, India.
3P Srinavasa Rao, Department of Mechanical Engineering, Centurion University of Technology and Management, Odisha, India.
Manuscript received on January 01, 2020. | Revised Manuscript received on January 20, 2020. | Manuscript published on January 30, 2020. | PP: 3045-3052 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6282018520/2020©BEIESP | DOI: 10.35940/ijrte.E6282.018520
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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: Wire Electrical Discharge Machining (WEDM) is a widely used non-traditional machining process used for machining of hard and difficult-to-machine materials. Proper selection of machining parameters in WEDM is required for better output performance, such as Material Removal Rate (MRR), Wire Wear Rate (WWR) and Surface Roughness (SR) etc. In the present paper, Pulse ON time, Pulse OFF time, Peak Current, Spark Voltage, Wire Feed and Wire Tension were taken as the input parameters to optimize MRR, WWR and SR. A set of 27 experiments were performed as per Taguchi Design. A Fuzzy model has been proposed to select the optimum values of machining parameters. The proposed fuzzy model was found to predict the experimental values with more than 90 percent accuracy.
Keywords: Material Removal Rate, Wire Wear Rate, Surface Roughness, Orthogonal Array.
Scope of the Article: Materials Engineering.