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Reduce the Transverse Distortion of Butt Welded Plates Using Genetic Algorithm
並列摘要
This paper presents a study on optimization of process parameters using genetic algorithm to reduce the transverse distortion in 304 L stainless steel butt welded plates. Distortion, the major problem in welded plates, results from the expansion and contraction of the weld metal and adjacent base metal during the heating and cooling cycle of the welding process. During this heating and cooling cycle, many factors affect shrinkage of the metal and lead to distortion, such as physical and mechanical properties that change as heat is applied. The geometry parameters of weld section and the environmental factors are important in distortion. In this paper, the effects of V shape angles and thickness of plates are investigated on the transverse distortion under temperature dependent of thermal coefficient condition. For this purpose, the finite element based software ANSYS, has been employed to evaluate the transverse distortion. Finally, to reduce the transverse distortion in 304L stainless steel butt welded plates, MATLAB software has been used. The results obtained from the finite element analysis in different models are helpful to produce the collection of data which are optimized using the genetic algorithm. Finite element results show that by increasing plate thickness, the transverse distortion has increased and by increasing V shape angle, this kind of distortion increased. Also, results show that the optimization process has been successfully developed.