Modeling and Optimizing of Submerged Arc Welding Process by Taguchi Design of Experiments in Presence of Magnesium Oxide Nano-Particles

Hamed Shahverdi Shahraki; Hamid Mozafari

doi:10.4028/www.scientific.net/AMM.763.52

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 763Modeling and Optimizing of Submerged Arc Welding...

Modeling and Optimizing of Submerged Arc Welding Process by Taguchi Design of Experiments in Presence of Magnesium Oxide Nano-Particles

Abstract:

The submerged arc welding (SAW) process is similar to other welding methods, the quality of welded joints plays role as improves strength, stiffness and toughness of products. The purpose of this paper, modeling and optimization of the submerged arc welding process parameters is using Taguchi's method analysis of experiments. All analyses were carried out using Minitab 14 Statistical Software and the interaction parameters in this study are ignored. The experimental results show that this model can predict the output parameters with reasonable accuracy.

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Periodical:

Applied Mechanics and Materials (Volume 763)

Pages:

52-57

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.763.52

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Online since:

May 2015

Authors:

Hamed Shahverdi Shahraki*, Hamid Mozafari

Keywords:

Magnesium Oxide Nanopowder, Signal-To-Noise Ratio, Submerged Arc Welding, Taguchi Method, Welding Parameters

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