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基于耗散理论的螺旋板式换热器多目标优化设计 被引量:4

Optimal Design for Spiral-Plate Heat Exchanger by Multi-objective Genetic Algorithm Optimization
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摘要 在理论的基础上,分析了螺旋板式换热器运行过程中,传热和压降引起的耗散数与冷流体出口温度和冷、热流体的流速的关系。利用多目标遗传算法,以传热和压降引起的耗散数最小为目标,对流体出口温度和冷、热流体的流速的组合进行了优化。给出了优化实例,根据优化解对优化效果进行了评价,指出采用优化解对换热器进行设计,可以减少流体流动的压降减少水泵用能,而且可以减少传热单元数、降低设备的投资和运行费用,提高换热器的经济性。 Based on the analysis of the structure of the spiral plate heat exchanger,determines the relationship between structure parameters,such as plate space,and fluid velocity,the export temperature parameters of spiral plate heat exchanger plate,use multi-objective genetic algorithm to optimize the practical example,obtain more economic and reasonable parameters of plate space and fluid flow,promote the performance of the heat exchanger,achieve the purpose of the optimization design.
作者 蔡飞 吴吁生
出处 《电力与能源》 2013年第1期24-26,共3页 Power & Energy
关键词 流体流速 多目标遗传算法 优化设计 Fluid velocity Multi-objective genetic algorithm Optimization
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