Hossein Bahrami - Ms.C. Student, Faculty of Mechanical Engineering, Ferdowsi University of Mashhad
Farhad Kolahan - Associate Professor, Faculty of Mechanical Engineering, Ferdowsi University of Mashhad
Abdolhamid Khajavi - Ms.C. Student, Faculty of Mechanical Engineering, Ferdowsi University of Mashhad

In this paper, an attempt is made to determine input-output relationships in submerged arc welding consuming a mixture of fresh flux and fused slag using regression analysis. To develop mathematical models, various linear and curvilinear regression functions have been fitted to the experimental data and the best set of models is selected. Simulated Annealing (SA) is then used to optimally determine input parameters levels in order to obtain the desired set of outputs. Computational results demonstrate that the proposed method is quite effective in predicting and optimizing process parameters for any desired weld bead geometry.

Submerged arc welding (SAW) – Regression - Optimization -Simulated Annealing (SA)