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

  • Saurav Datta
  • Asish Bandyopadhyay
  • Pradip Kumar Pal
ORIGINAL ARTICLE

Abstract

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.

Keywords

Orthogonal array Signal-to-noise ratio Taguchi approach ANOVA 

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Copyright information

© Springer-Verlag London Limited 2007

Authors and Affiliations

  • Saurav Datta
    • 1
  • Asish Bandyopadhyay
    • 2
  • Pradip Kumar Pal
    • 2
  1. 1.Department of Mechanical EngineeringB. P. Poddar Institute of Management & TechnologyWest BengalIndia
  2. 2.Department of Mechanical EngineeringJadavpur University, KolkataWest BengalIndia

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