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DC Field | Value | Language |
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dc.contributor.author | Mohanty, S. D | - |
dc.contributor.author | Mahapatra, S. S | - |
dc.contributor.author | Mohanty, R. C | - |
dc.date.accessioned | 2018-10-03T15:47:36Z | - |
dc.date.available | 2018-10-03T15:47:36Z | - |
dc.date.issued | 2018-09 | - |
dc.identifier.citation | 60th 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, 2018 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/3065 | - |
dc.description | Copyright of this document belongs to proceedings publisher. | en_US |
dc.description.abstract | The 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.subject | Multi-objective optimization | en_US |
dc.subject | weighted principal component analysis | en_US |
dc.subject | Multi-response performance index | en_US |
dc.subject | Direct metal laser sintering | en_US |
dc.subject | Taguchi method | en_US |
dc.subject | Electric discharge machining | en_US |
dc.title | Optimization in EDM of D2 Steel with Multiple Surface Roughness Characteristics Using Hybrid Taguchi Method | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2018_ICIEIND_SSMahapatra_Optimization.pdf | Conference paper | 655.26 kB | Adobe PDF | View/Open |
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