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首页> 外文期刊>International Journal of Heat and Mass Transfer >An effective layer pattern optimization model for multi-stream plate-fin heat exchanger using genetic algorithm
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An effective layer pattern optimization model for multi-stream plate-fin heat exchanger using genetic algorithm

机译：基于遗传算法的多流板翅式换热器有效层模式优化模型

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摘要

For multi-stream plate-fin heat exchangers (MPFHEs), a crucial factor affecting performance is the layer pattern used to distribute hot and cold streams. However, for the design of MPFHE layer pattern, so far it still remains at semi-qualitative, empirical or trial-and-error stage, lacking efficient approaches to obtain the optimum. In this paper, an effective layer pattern optimization model using genetic algorithm (GA) is developed in detail. It includes the chromosome of binary string that represents hot and cold layers alternatively arranged, the dual fitness functions that act on chromosome individuals alternatively, the constraint that requires the spacing layers between hot and cold streams to be no less than 1 and no greater than 2, the selection of optimization tool and the corresponding setting of GA parameters. When used to optimize the layer pattern of actual MPFHE, this model exhibits well. The average thermal efficiency of exchanger reaches up to 98% of that obtained under the ideal common wall temperature assumption. Furthermore, the study of this paper make it clear the association of previous classical deviation from ideal of layer pattern zigzag curve with MPFHE thermal performance, which is not a strict monotonic decreasing relation as people thought to be, but a multiple vs. multiple relation.
机译：对于多流板翅式换热器（MPFHE），影响性能的关键因素是用于分配冷热流的层模式。但是，对于MPFHE层图案的设计，到目前为止，它仍处于半定性，经验或反复试验阶段，缺乏有效的方法来获得最佳效果。本文详细研究了一种利用遗传算法（GA）的有效层图案优化模型。它包括代表交替排列的热层和冷层的二进制字符串的染色体，交替作用于染色体个体的双重适应函数，要求冷热流之间的间隔层不小于1且不大于2的约束，优化工具的选择以及GA参数的相应设置。当用于优化实际MPFHE的层图案时，此模型表现良好。交换器的平均热效率高达理想理想壁温假设条件下的热效率的98％。此外，本文的研究清楚地表明了先前经典的层状曲折曲线理想偏差与MPFHE热性能之间的联系，这不是人们认为严格的单调递减关系，而是多重与多重关系。

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