Abstract：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.
肖武, 王开锋, 姜晓滨, 贺高红. 遗传-模拟退火算法优化设计管壳式换热器[J]. 清华大学学报（自然科学版）, 2016, 56(7): 728-734.
XIAO Wu, WANG Kaifeng, JIANG Xiaobin, HE Gaohong. Optimization of a shell-and-tube heat exchanger based on a genetic simulated annealing algorithm. Journal of Tsinghua University(Science and Technology), 2016, 56(7): 728-734.
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