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This paper depicts the experimental study of the input parameters of EDM i.e. current, pulse on time and pulse off time on output parameters material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR). The workpiece materials selected was AISI D2. The aluminium used as tool electrode and EDM oil as dielectric fluid. Taguchi, method was used to perform experiments, L9 orthogonal array was applied using MINITAB software. Signal to Noise (S/N) ratio and ANOVA were employed for parameter optimization and to achieve max MRR, min SR and TWR. The results indicate that the most prompting factor for MRR is Pulse off time. For TWR, the most influencing factor is current. For SR, the most prompting factor is pulse on time. Optimization is done by using Taguchi method on MINITAB 17 software.
Sidhant Gupta. 2017. \u201cExperimental Study of MRR, TWR, SR on AISI D2 Steel using Aluminium Electrode on EDM\u201d. Global Journal of Research in Engineering - A : Mechanical & Mechanics GJRE-A Volume 17 (GJRE Volume 17 Issue A1): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 108
Country: India
Subject: Global Journal of Research in Engineering - A : Mechanical & Mechanics
Authors: Sidhant Gupta, Dr. S.K. Jain, Gurpinder Singh (PhD/Dr. count: 1)
View Count (all-time): 256
Total Views (Real + Logic): 3376
Total Downloads (simulated): 1617
Publish Date: 2017 07, Tue
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This paper depicts the experimental study of the input parameters of EDM i.e. current, pulse on time and pulse off time on output parameters material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR). The workpiece materials selected was AISI D2. The aluminium used as tool electrode and EDM oil as dielectric fluid. Taguchi, method was used to perform experiments, L9 orthogonal array was applied using MINITAB software. Signal to Noise (S/N) ratio and ANOVA were employed for parameter optimization and to achieve max MRR, min SR and TWR. The results indicate that the most prompting factor for MRR is Pulse off time. For TWR, the most influencing factor is current. For SR, the most prompting factor is pulse on time. Optimization is done by using Taguchi method on MINITAB 17 software.
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