This paper is published in Volume-5, Issue-4, 2019
Area
Mechanical Engineering Department Specialization Of Production And Industrial Engineering
Author
Kedir Shikur
Co-authors
Bisma Mannan, Endale Fikadu
Org/Univ
Sharda University, Greater Noida, Uttar Pradesh, India
Pub. Date
11 July, 2019
Paper ID
V5I4-1161
Publisher
Keywords
EDM, Peak current, Pulse on time, Pulse off time, Material-removal-rate, Tool-wear-rate, Surface roughness, Minitab, Mat-lab, Taguchi, Analysis-of-variance, Genetic-algorithm, Single-objective-optimization, Multi-objective optimization, Optimum value

Citationsacebook

IEEE
Kedir Shikur, Bisma Mannan, Endale Fikadu. Optimization of input factors of EDM using Taguchi ANOVA and genetic algorithm for machining of Aluminum 6061 Alloy, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Kedir Shikur, Bisma Mannan, Endale Fikadu (2019). Optimization of input factors of EDM using Taguchi ANOVA and genetic algorithm for machining of Aluminum 6061 Alloy. International Journal of Advance Research, Ideas and Innovations in Technology, 5(4) www.IJARIIT.com.

MLA
Kedir Shikur, Bisma Mannan, Endale Fikadu. "Optimization of input factors of EDM using Taguchi ANOVA and genetic algorithm for machining of Aluminum 6061 Alloy." International Journal of Advance Research, Ideas and Innovations in Technology 5.4 (2019). www.IJARIIT.com.

Abstract

Abstract EDM is an electro-thermal method, where electrical energy is used to produce electrical spark & volume loss chiefly take place as a result of thermal energy of spark. Objective of current work is to investigate impact of input factors such as peak-current (IP), pulse-on-time(Ton) and pulse-off-time (Toff ) on die-sinking EDM responses such as material removal rate (MRR), tool wear rate (TWR) and surface roughness(Ra) on aluminum 6061 alloy hole drilling process with copper electrode and kerosene dielectric fluid. Selected orthogonal-array was L9 in three levels. The employed methodology was Taguchi-method, analysis-of-variance for single-objective optimization by Minitab software and genetic algorithm for multi-objective optimization using Mat-lab software with varies population size. Influence of peak-current was the most significant factor to MRR, TWR, and Ra of Aluminum 6061 machining. The optimum value for single-objective and multi-objective-optimization was selected.
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