基于Goose LDW-PSO的管壳式换热器优化设计

DESIGN AND OPTIMIZATION OF SHELL-AND-TUBE HEAT EXCHANGER BY GOOSE LDW-PSO

管壳式换热器在工业中的应用越来越广泛,对于设计者和使用者来说使其费用最小化是一个很重要的目标。本文以最小化管壳式换热器的总费用为优化目标,提出了运用基于雁群启示的惯性权重线性下降粒子群优化算法(Goose LDW-PSO)对其进行优化设计。为了验证这种方法的有效性,用Goose LDW-PSO对管壳式换热器进行了优化设计,并与原始设计结果进行了比较。比较结果表明,虽然管子数目增加,但是换热器的总费用比传统方法少了很多。

Shell-and-tube heat exchangers are widely used in industrial processes,and minimizing their cost is an important target for both designers and users.This paper proposes a procedure for the optimal design of shell-and-tube heat exchangers based on Goose Linearly Decreasing Inertia Weight-Particle Swarm Optimization Algorithm（Goose LDW-PSO） to minimize the total cost of the equipment.In order to verify the capability of this method,one case studied by other researches in the open literature is chosen to compare with the results obtained by Goose LDW-PSO.In the examined case,although the number of tubes of the Goose LDW-PSO optimized design is much more than that of the original exchanger,the total cost of the heat exchanger could be reduced a lot.