FUME FORMATION RATE PREDICTIVE MODELS FOR GAS TUNGSTEN ARC WELDING OF MILD STEEL PLATES
Keywords:fume formation, predictive model, mild steel, gas tungsten arc, welding
The purpose of this study is to develop predictive models to predict the fume formation rate in a Tungsten Inert Gas welding process of mild steel plates. The fume samples were collected using fume extractors and filters, the experimental results was used as data to develop the models. The Response surface methodology was employed to develop the fume formation model in this study, the RSM is a very popular and robust technique applied in the field of engineering and applied sciences to predict desired responses. The second order quadratic model was selected as the model best fit, the decision was based on some statistical criteria such as Anova, Coefficient of determination, Cooks distance and contour plots. The model developed possess adequate signal, indicating the strength and capacity to predict the fume formation rate of TIG welding on mild steel specimen. The model developed showed that welding current is a very strong factor influencing the fume formation rate.
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