Arimpie - 2016 2016
DOI: 10.16962/elkapj/si.arimpie-2016.50
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Modelling and Optimization of Gas Metal Arc Welding Using Response Surface Methodology

Abstract: Abstract-GMAW is a complicated process with many interrelated parameters affecting the quality of the welded joint. The process variables with the maximum influence are the welding current, welding voltage, travel speed and arc efficiency. Response surface methodology was used to predict the weld penetration of gas metal arc welded mild steel. The experiments were conducted based on three factors, three-level, and central composite face centered design with full replications technique, and mathematical model w… Show more

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“…It contained eight factorial points, six axial points and six center points. The addition of center point runs in the experimental setting gives information about the curvature and provides process stability and inherent variability [34][35][36] .…”
Section: Response Surface Methodologymentioning
confidence: 99%
“…It contained eight factorial points, six axial points and six center points. The addition of center point runs in the experimental setting gives information about the curvature and provides process stability and inherent variability [34][35][36] .…”
Section: Response Surface Methodologymentioning
confidence: 99%