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首页> 外文期刊>International Journal of Heat Exchangers >Optimum Design of Crossflow Plate-Fin Heat Exchangers Through Genetic Algorithm
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Optimum Design of Crossflow Plate-Fin Heat Exchangers Through Genetic Algorithm

机译：基于遗传算法的错流板翅式换热器的优化设计

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摘要

A genetic algorithm based optimisation technique has been developed for crossflow plate-fin heat exchangers. The optimisation program aims at minimising the total annual cost for a specified heat duty under given space and flow restrictions. A multilayer plate-fin heat exchanger has been considered and the optimum values of the design variables consisting of the core and the fin geometrical parameters are obtained for the minimum total cost. For the validation, optimisation of a reduced model of a two-layer heat exchanger has been compared with the solution obtained by the conventional optimisation technique. Comparison of the solutions has been made between the cases when no restriction is there on the upper limit of Reynolds number and with the laminar flow restriction. The effect of fixing the heat exchanger dimensions on the optimum solution has also been studied.
机译：已经开发出一种基于遗传算法的优化技术用于横流板翅式换热器。优化程序旨在在给定的空间和流量限制下，将指定热负荷的年度总成本降至最低。已经考虑了多层板翅式换热器，并以最小的总成本获得了由型芯和翅片几何参数组成的设计变量的最佳值。为了进行验证，将两层换热器简化模型的优化与通过常规优化技术获得的解决方案进行了比较。在雷诺数上限没有限制和层流限制没有限制的情况之间，已经对解决方案进行了比较。还研究了将热交换器尺寸固定在最佳解决方案上的影响。

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