The Use of Taguchi Method Based on Desirability Function Approach for Optimization of Process Parameters in Submerged Arc Welding

Joydeep Roy; John Deb Barma; Subhash Chandra Saha

doi:10.4028/www.scientific.net/AMR.622-623.319

Paper Titles

Effect of Filler Metal’s Choice on the Mechanical and Corrosion Properties of Gas Tungsten Arc Welded Aisi 304l
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Structure Optimization and Welding Residual Stress Analysis of Twin-Web Turbine Disc
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A Simplified Numerical Approach for Finding the Temperature Distribution in Submerged arc Welding Process
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Effect of Friction Stir Welding Parameters on Thermal and Tensile Behavior of Aluminum Weldments Using Double Shoulder Tools
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Microstructural Characterization and Mechanical Properties in Friction Stir Welding of Aa7075 Aluminium Alloy
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Effect of Filler Metal’s Choice on the Mechanical and Corrosion Properties of Gas Tungsten Arc Welded AISI 304l
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Optimization of Resistance Spot Welding on Aluminum Magnesium 5052 Grade with 2³ Factorial Designs
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 622-623The Use of Taguchi Method Based on Desirability...

The Use of Taguchi Method Based on Desirability Function Approach for Optimization of Process Parameters in Submerged Arc Welding

Abstract:

In this paper, the Taguchi method coupled with desirability function approach is used for the optimization of response parameters in submerged arc welding (SAW). Desirability function (DF) approach has been introduced to convert the multi- response objective to single objective. Weld quality is greatly influenced by the weld parameters which directly or indirectly affect the response parameters. In the present investigation three process variables viz. Wire feed rate (W_f), stick out (S_o) and traverse speed (T_s) have been considered and the response parameters are hardness (H), tensile strength (TS), toughness (IS). Finally a confirmatory test has been carried out with the optimal process parameters for validation of the experiment.

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Periodical:

Advanced Materials Research (Volumes 622-623)

Pages:

319-322

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.622-623.319

Citation:

Cite this paper

Online since:

December 2012

Authors:

Joydeep Roy, John Deb Barma, Subhash Chandra Saha

Keywords:

Desirablity Function (DF), Optimization, SAW, Taguchi’s Robust Design

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