Optimization process parameters in laser welding by Simulated Annealing Algorithm

In this paper, two issues in laser welding have been addressed. First, using mathematical modelling, the effects of process parameters values on the tensile strength have been investigated. In this regard, using regression modelling, the effects of three input parameters; namely laser power, welding speed, and wire feed, on the tensile strength are evaluated. Various regression functions have been fitted on the experimental data to establish the relations between laser welding process variables and its output characteristic. Then, Analysis of Variance (ANOVA) approach is performed to find the most fitted model. The influence of each process parameter is also determined. Next, a Simulated Annealing (SA) algorithm has been employed to optimally determine the values of laser welding process parameters for any desired tensile strength. Computational results show that the proposed models and solution procedure perform very well in modeling and optimizing of laser welding process variables.