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- W2078993275 abstract "This paper details the application of Taguchi technique and regression analysis to determine the optimal process parameters for submerged arc welding (SAW). The planned experiments are conducted in the semiautomatic submerged arc welding machine and the signal-to-noise ratios are computed to determine the optimum parameters. The percentage contribution of each factor is validated by analysis of variance (ANOVA) technique. Multiple regression analysis (MRA) is conducted using statistical package for social science (SPSS) software and the mathematical model is built to predict the bead geometry for any given welding conditions." @default.
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- W2078993275 date "2013-04-01" @default.
- W2078993275 modified "2023-09-25" @default.
- W2078993275 title "Determination of submerged arc welding process parameters using Taguchi method and regression analysis" @default.
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- W2078993275 doi "https://doi.org/10.1109/iceets.2013.6533495" @default.
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