Cooling Parameters Optimization of H-Beam after Rolling with MOGA

Abstract

Multi-objective genetic algorithms (MOGA) is broadly used in the engineering problem. . Combined the multi-objective genetic algorithms (MOGA) with finite element method (FEM), a new kind engineering optimization method is established. This optimal method takes fully advantage of the unique feature of genetic algorithms that the optimal solution is achieved by a rapid global search and takes advantage of the unique features of FEM that the computation is accuracy. This method can solve multi-objective problems with more complex constraints in the engineering. The procedure is developed by VC++. Temperature difference of H-beam section has great influence on the residual stress of H-beam. In order to reduce the temperature difference of H-beam and make the microstructure of H-beam uniform, the cooling parameters of H-beam after rolling are optimized. The new kind of optimization method MOGA combined with FEM is used to handle this problem. The better optimization result is obtained.