本文基于遗传算法,以(火积)耗散数为目标函数,提出了换热器优化设计的(火积)耗散最小化方法。对一管壳式换热器的优化设计结果表明,通过优化设计,换热器的有效度提高了约5.7%,而泵功减少了约30%,但以增加换热面积为代价。和传统的以总成本最小为目标函数的优化设计方法相比较,具有明显优势。 In this paper, based on the genetic algorithm, the (fire product) dissipative number is taken as the objective function, and the minimization of the (fire product) dissipation of heat exchanger optimization design is proposed. The design optimization of a shell-and-tube heat exchanger shows that the heat exchanger efficiency is improved by about 5.7% and the pump power is reduced by about 30% through optimization design, but at the cost of increasing heat exchange area. Compared with the traditional optimization design method which takes the minimum total cost as the objective function, it has obvious advantages.