The Study Of Optimal Design For Box Type Fin Tube Heat Exchanger By Genetic Algorithms

Heat exchanger(HE) is used as an important components in the thermodynamic system and heat transfer equipment.Many researchers have been devoting themselves to the study of optimal design of the heat exchanger.There have been several numerical algorithms applying in the optimization of HE,yet most of which depend on the gradient imformation of the objective function to acquire available design scheme.Numerical algorithms are efficient in solving differential function,yet they tend to get locally optimal solutions or get failure for most of the engineering problems in which the objective functions are not differential.With the development of the computational technics, genetic algorithms(GA) have rencently gained much momentum and have been used in several diverse areas. GA are globally optimal search algorithms and independent of the gradient information of the objective function.This paper applies GA to the optimal design of the box type fin tube heat exchanger.This paper developes a thermodynamic design procedure and also the procedures for single-object GA and multi-object GA. The examples show that GA has the globally search ability and can yield significant savings in computation.