Title of article :
Prediction and Optimization of Mechanical Properties of St52 in Gas Metal Arc Weld Using Response Surface Methodology and ANOVA
Author/Authors :
Doniavi, A. Mechanical Engineering Department - Faculty of Engineering - Urmia University, Urmia , Hosseini, A. Mechanical Engineering Department - Faculty of Engineering - Urmia University, Urmia , Ranjbary, G. Mechanical Engineering Department - Faculty of Engineering - Urmia University, Urmia
Abstract :
Many researchers have developed algorithms to predict welding parameters. The variety of welding
types is broad because the confine mixture of pressure and temperature could be selected. This paper
introduces a response surface methodology (RSM) for optimization and prediction of the influence of
Ar and CO2 gases and electrical current on tensile strength of St52’s gas metal arc weld (GMAW) line.
After doing experiments the optimum levels of input variables for achieving high tensile strength and
contribution of parameters have been obtained by RSM and ANOVA; respectively. In this study the
maximum error is 0.44%. Thus it can be concluded that, RSM is one of the best methods and can be
used to predict the output parameters and save the time and cost of additional experiments.
Keywords :
Gas Metal Arc Weld , Response Surface Methodology , ANOVA , St52 , Tensile Strength
Journal title :
Astroparticle Physics
