Experimental Investigation for Optimum Process Parameters in Wire Cut EDM Process using Taguchi Method
Basawaraj S. Hasu1, S. Mohan Kumar2, Chiranjeevi V.3
1Prof. Basavaraj S. Hasu, (Ph.D), Professor and Head, Department of Mechanical Engineering, AVN Institute of Engineering and Technology, Ranga Reddy (Telangana), India.
2S. Mohan Kumar, (Ph.D), Assistant Professor, Department of Mechanical Engineering, AVN Institute of Engineering and Technology, Ranga Reddy (Telangana), India.
3Chiranjeevi.V, PG Student, Department of Mechanical Engineering, AVN Institute of Engineering and Technology, Ranga Reddy (Telangana), India.
Manuscript received on 10 December 2017 | Revised Manuscript received on 18 December 2017 | Manuscript Published on 30 December 2017 | PP: 96-99 | Volume-7 Issue-2, December 2017 | Retrieval Number: B5246127217/17©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: The intention of the prevailing is to investigate the results of the numerous Wire lessen EDM machine parameters on the surface high-quality, most material elimination and achieve the most useful technique parameters , so the superiority and MRR of machined parts may be optimized. Experiments are accomplished on the Aluminum alloy 7075 portions by using various parameters. The system parameters several and their respective values are Pulse Time on – 102μsec, 105 μsec, 114 μsec & Pulse Time off – 50 μsec, 53 μsec, 55 μsec & Input Current – 0.5Amp, 1.1Amp, and 1.8Amp. Other parameters are saved constantly along with Wire Dia – 0.25mm, Wire feed – 8.4mm/mi, Servo Voltage – 20V, Coolant is Distilled water, Wire Tension – 7Kgf. The optimization is finished by way of the usage of Taguchi method considering L9 orthogonal array. Optimization is done in Minitab software program
Keywords: EDM, MRR, 7075 Portions, 102μsec, 114 μsec, Wire Tension – 7Kgf
Scope of the Article: Signal and Speech Processing