Modeling and multi-objective optimization of powder mixed electric discharge machining process of aluminum/alumina metal matrix composite
Low material removal rate (MRR) and high surface roughness values hinder large-scale application of electro discharge machining (EDM) in the fields like automobile, aerospace and medical industry. In recent years, however, EDM has gained more significance in these industries as the usage of difficul...
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my.utp.eprints.315322022-03-26T03:21:42Z Modeling and multi-objective optimization of powder mixed electric discharge machining process of aluminum/alumina metal matrix composite Talla, G. Sahoo, D.K. Gangopadhyay, S. Biswas, C.K. Low material removal rate (MRR) and high surface roughness values hinder large-scale application of electro discharge machining (EDM) in the fields like automobile, aerospace and medical industry. In recent years, however, EDM has gained more significance in these industries as the usage of difficult-to-machine materials including metal matrix composites (MMCs) increased. In the present work, an attempt has been made to fabricate and machine aluminum/alumina MMC using EDM by adding aluminum powder in kerosene dielectric. Results showed an increase in MRR and decrease in surface roughness (Ra) compared to those for conventional EDM. Semi empirical models for MRR and Ra based on machining parameters and important thermo physical properties were established using a hybrid approach of dimensional and regression analysis. A multi response optimization was also performed using principal component analysis-based grey technique (Grey-PCA) to determine optimum settings of process parameters for maximum MRR and minimum Ra within the experimental range. The recommended setting of process parameters for the proposed process has been found to be powder concentration (Cp) = 4 g/l, peak current (Ip) = 3 A, pulse on time (Ton) = 150 μs and duty cycle (Tau) = 85. © 2015 Karabuk University Elsevier B.V. 2015 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017359809&doi=10.1016%2fj.jestch.2015.01.007&partnerID=40&md5=3b285016e76d66d566ae28cb3166d343 Talla, G. and Sahoo, D.K. and Gangopadhyay, S. and Biswas, C.K. (2015) Modeling and multi-objective optimization of powder mixed electric discharge machining process of aluminum/alumina metal matrix composite. Engineering Science and Technology, an International Journal, 18 (3). pp. 369-373. http://eprints.utp.edu.my/31532/ |
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Low material removal rate (MRR) and high surface roughness values hinder large-scale application of electro discharge machining (EDM) in the fields like automobile, aerospace and medical industry. In recent years, however, EDM has gained more significance in these industries as the usage of difficult-to-machine materials including metal matrix composites (MMCs) increased. In the present work, an attempt has been made to fabricate and machine aluminum/alumina MMC using EDM by adding aluminum powder in kerosene dielectric. Results showed an increase in MRR and decrease in surface roughness (Ra) compared to those for conventional EDM. Semi empirical models for MRR and Ra based on machining parameters and important thermo physical properties were established using a hybrid approach of dimensional and regression analysis. A multi response optimization was also performed using principal component analysis-based grey technique (Grey-PCA) to determine optimum settings of process parameters for maximum MRR and minimum Ra within the experimental range. The recommended setting of process parameters for the proposed process has been found to be powder concentration (Cp) = 4 g/l, peak current (Ip) = 3 A, pulse on time (Ton) = 150 μs and duty cycle (Tau) = 85. © 2015 Karabuk University |
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Talla, G. Sahoo, D.K. Gangopadhyay, S. Biswas, C.K. |
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Talla, G. Sahoo, D.K. Gangopadhyay, S. Biswas, C.K. Modeling and multi-objective optimization of powder mixed electric discharge machining process of aluminum/alumina metal matrix composite |
author_facet |
Talla, G. Sahoo, D.K. Gangopadhyay, S. Biswas, C.K. |
author_sort |
Talla, G. |
title |
Modeling and multi-objective optimization of powder mixed electric discharge machining process of aluminum/alumina metal matrix composite |
title_short |
Modeling and multi-objective optimization of powder mixed electric discharge machining process of aluminum/alumina metal matrix composite |
title_full |
Modeling and multi-objective optimization of powder mixed electric discharge machining process of aluminum/alumina metal matrix composite |
title_fullStr |
Modeling and multi-objective optimization of powder mixed electric discharge machining process of aluminum/alumina metal matrix composite |
title_full_unstemmed |
Modeling and multi-objective optimization of powder mixed electric discharge machining process of aluminum/alumina metal matrix composite |
title_sort |
modeling and multi-objective optimization of powder mixed electric discharge machining process of aluminum/alumina metal matrix composite |
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Elsevier B.V. |
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2015 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017359809&doi=10.1016%2fj.jestch.2015.01.007&partnerID=40&md5=3b285016e76d66d566ae28cb3166d343 http://eprints.utp.edu.my/31532/ |
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