Grey-based taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding

被引:4
|
作者
Saurav Datta
Asish Bandyopadhyay
Pradip Kumar Pal
机构
[1] B. P. Poddar Institute of Management & Technology,Department of Mechanical Engineering
[2] Jadavpur University,Department of Mechanical Engineering
[3] Kolkata,undefined
关键词
Orthogonal array; Signal-to-noise ratio; Taguchi approach; ANOVA;
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摘要
A multi-response optimization problem has been developed in search of an optimal parametric combination to yield favorable bead geometry of submerged arc bead-on-plate weldment. Taguchi’s L25 orthogonal array (OA) design and the concept of signal-to-noise ratio (S/N ratio) have been used to derive objective functions to be optimized within experimental domain. The objective functions have been selected in relation to parameters of bead geometry viz. bead width, bead reinforcement, depth of penetration and depth of HAZ. The Taguchi approach followed by Grey relational analysis has been applied to solve this multi-response optimization problem. The significance of the factors on overall output feature of the weldment has also been evaluated quantitatively by analysis of variance method (ANOVA). Optimal result has been verified through additional experiment. This indicates application feasibility of the Grey-based Taguchi technique for continuous improvement in product quality in manufacturing industry.
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页码:1136 / 1143
页数:7
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