Examination of Electrical Discharge Machining of AA2014 Amalgam With Al2O3 by Fuzzy Logic
Published: 2020
Author(s) Name: S. Padmavathy, R. Akhil, S. BharathRaj and S. T. Abinesh |
Author(s) Affiliation: Department of Mechanical Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu
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Abstract
This present work demonstrates the optimization of the electrical discharge machining (EDM) by using symbolic logic integration with Taguchi method. The workpiece material AA2014 reinforced with 10 wt% Al2O3 particles. The Depth of cut, speed, feed, pulsed frequency & SR is the control parameters of EDM. Taguchi technique utilizing L9 orthogonal exhibit was wont to plan the investigation and in this manner, the impact of the variables on the reactions was contemplated. Taguchi strategy has built up a solid instrument inside the plan of trials, yet this technique can be upgraded to single execution attributes one after another. Subsequently, Taguchi system is including the representative rationale for streamlining of numerous quality attributes. Utilizing the representative rationale framework streamlining of complex various execution qualities is transmuted into the advancement of single reaction execution attributes. Trial results affirm that this technique is effective for streamlining of various quality attributes, for example, MRR and SR in EDM.
Keywords: Electrical Discharge Machining (EDM), Fuzzy logic, (AA2014/Al2O3).
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