点击次数：

发表时间：2022-10-09

发表刊物：清华大学学报 自然科学版

所属单位：化工学院

卷号：56

期号：7

页面范围：728-734

ISSN号：1000-0054

摘要：A mathematical model was developed to optimize the design of a
   shell-and-tube heat exchanger based on design data obtained by using the
   Bell-Delaware method to describe the pressure drop and heat transfer on
   the shell-side.The design variables were the tube diameter,the tube
   length,and other geometric parameters with the Tubular Exchanger
   Manufacturers Association (TEMA) standard taken as the reference for the
   constraints and the minimum total heat exchanger cost as the
   objective.The solution used the genetic simulated annealing algorithm
   (GA-SA).This method more effectively balances the heat exchanger area
   cost and pumping cost than previous methods by searching for the global
   optimal solution for the main geometric heat exchanger parameters with
   the minimum total cost.With the margin requirement for heat exchanger
   designs for specific industrial projects,these results are close to
   those given by commercial HTRI software,which indicates that this heat
   exchanger design method is reliable.This method guarantees the economic
   optimum without an empirical method to optimize the design variables in
   the heat exchanger design which is a major weakness of HTRI software
   packages.

备注：新增回溯数据