Prediction of bead width in submerged arc welding of low carbon steel (AISI 1005)‎

Abstract EN

This paper used Taguchi technique to determine the optimal SAW parameters, an effort has been made to study the effect of SAW process parameters (current I, voltage V, speed S) on the weld bead width (W) of low carbon steel AISI 1005.

S/N ratios are computed to determine the optimum parameters.

Statistical model was checked by used multiply regression method; the adequacy and significance of the model were checked by using ANOVA technique.

The model employed easily in form of executed program designed by using visual basic 6 software, the objective of designed program is to predict and control weld bead width, which enable to put in the desired weld parameters and select the weld bead width.

Main and Interaction effects of the process parameters on bead width were presented graphically.

The experimental results were analyzed by using Minitab 16 software.