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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1404

Title: Bead Geometry Optimization of Submerged Arc Weld:Exploration of Weighted Principal Component Analysis (WPCA)
Authors: Biswas, A
Bhaumik, S
Majumdar, G
Datta, S
Mahapatra, S S
Keywords: submerged arc weld;
Taguchi method;
Weighted Principal Component Analysis (WPCA);
Multi-response Performance Index (MPI)
Issue Date: 2011
Citation: Second International Conference on Mechanical, Industrial and Manufacturing Technologies (MIMT 2011) 26th - 28th February 2011, Singapore
Abstract: The present work attempts to overcome underlying assumptions in traditional Taguchi based optimization techniques highlighted in literature. Taguchi method alone fails to solve multi-response optimization problems. In order to overcome this limitation, exploration of grey relation theory,desirability function approach, utility theory etc. have been found amply applied in literature in combination with Taguchi method. But aforesaid approaches relies on the assumption that individual response features are uncorrelated i.e. independent of each other which are really impossible to happen in practice. The study takes into account this response correlation and proposes an integrated methodology in a case study on optimization of multiple bead geometry parameters of submerged arc weldment. Weighted Principal Component Analysis (WPCA) has been applied to eliminate response correlation and to convert correlated responses into equal or less number of uncorrelated quality indices called p...
URI: http://hdl.handle.net/2080/1404
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