Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3065
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dc.contributor.authorMohanty, S. D-
dc.contributor.authorMahapatra, S. S-
dc.contributor.authorMohanty, R. C-
dc.date.accessioned2018-10-03T15:47:36Z-
dc.date.available2018-10-03T15:47:36Z-
dc.date.issued2018-09-
dc.identifier.citation60th Diamond Jubilee National Convention of IIIE and International Conference on “Role of Industrial Engineering in Industry 4.0 Paradigm (ICIEIND 2018), Bhubaneswar, India, 27-30 September, 2018en_US
dc.identifier.urihttp://hdl.handle.net/2080/3065-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractThe present study presents a multi-response optimization problem by applying Principal Component Analysis (PCA) combined with Taguchi method. The aim of the study is to evaluate the best process environment which could simultaneously fulfill multiple Surface Roughness characteristics. As traditional Taguchi method cannot solve a multi-objective optimization problem; to overcome this limitation, Principal component analysis has been coupled with Taguchi method. Taguchi method assumes that the quality characteristics should be uncorrelated or independent which is not always fulfilled in actual condition. PCA is applied to remove response correlation and to calculate independent (uncorrelated) quality indices known as principal components. These principal components combined with weighted principal component analysis (WPCA) are used to calculate overall quality index denoted as Multiresponse Performance Index (MPI). This investigation combines WPCA and Taguchi method for forecasting optimal setting. The predicted result by this method was validated through confirmatory test proving the efficacy of the process.en_US
dc.subjectMulti-objective optimizationen_US
dc.subjectweighted principal component analysisen_US
dc.subjectMulti-response performance indexen_US
dc.subjectDirect metal laser sinteringen_US
dc.subjectTaguchi methoden_US
dc.subjectElectric discharge machiningen_US
dc.titleOptimization in EDM of D2 Steel with Multiple Surface Roughness Characteristics Using Hybrid Taguchi Methoden_US
dc.typeArticleen_US
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