Optimization of Abrasive Powder Mixed EDM of Aluminum Matrix Composites with Multiple Responses Using Gray Relational Analysis |
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Authors: | S Singh M F Yeh |
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Affiliation: | (1) Department of Mechanical Engineering, Sant Longowal Institute of Engineering and Technology (Deemed-to-be-University), Sangrur, Longowal, 148106, Punjab, India;(2) Department of Electrical Engineering, Lunghwa University of Science and Technology, Taoyuan, Taiwan, People’s Republic of China |
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Abstract: | Abrasive powder-mixed electrical discharge machining (APM-EDM), a hybrid manufacturing process involving the use of a dielectric
fluid mixed with abrasive powder, combines the benefits of mechanical and thermal interactions. The aim of this article is
to use a new approach of performance evaluation, gray relational analysis (GRA), to evaluate the effectiveness of optimizing
multiple performance characteristics of APM-EDM of 6061Al/Al2O3p/20p aluminum matrix composites (AMCs). The considered process parameter includes the seven control factors namely pulse current
(A), pulse ON time (μs), duty cycle (%), gap voltage (V), time interval of tool lift (s), abrasive powder concentration (g/L),
abrasive particle size (μm), and a noise factor, aspect ratio (shape of tool electrode). The combination of L18 (21 × 37) orthogonal array design of experiment with GRA enables to determine the optimal parameters for multiple responses. GRA is
used to obtain a single performance index, gray relational grade through gray relational coefficient to optimize the APM-EDM
process with lower tool wear rate, surface roughness, and higher material removal rate. In addition, analysis of variance
(ANOVA) for the GRC is also utilized. |
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