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基于三维分布参数模型的紧凑式换热器优化
引用本文:张丽娜,杨春信.基于三维分布参数模型的紧凑式换热器优化[J].航空动力学报,2008,23(4):617-622.
作者姓名:张丽娜  杨春信
作者单位:北京航空航天大学,航空科学与工程学院,北京,100083
摘    要:基于翅片通道划分网格并建立微元控制方程,实现了紧凑式换热器的三维分布参数模型.在分布参数模型的基础上,结合熵产最小化原理,应用遗传算法对换热器的外形尺寸及翅片类型、结构参数进行了优化设计.分布参数模型考虑了流体物性参数在换热器内各点的变化,能够应用于湿工况和相变情况下的换热器性能研究.而且基于翅片通道的网格划分方法具有明确的物理意义,避免了单纯数值方法的复杂性,大大提高了计算速度,解决了基于分布参数进行换热器优化的难题,该优化方法可以推广应用于其它类型的换热器或热沉中.

关 键 词:航空、航天推进系统  紧凑式换热器  三维分布参数  熵产最小化  遗传算法  优化
文章编号:1000-8055(2008)04-0617-06
收稿时间:2007/4/11 0:00:00
修稿时间:2007年4月11日

Optimization of compact heat exchanger based on 3D distributed-parameter model
ZHANG Li-na and YANG Chun-xin.Optimization of compact heat exchanger based on 3D distributed-parameter model[J].Journal of Aerospace Power,2008,23(4):617-622.
Authors:ZHANG Li-na and YANG Chun-xin
Institution:School of Aeronautics Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;School of Aeronautics Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
Abstract:With the mesh generation method based on fin passages and element control equation,a new three-dimensional distributed-parameter model for compact heat exchangers was developed.On the basis of this model and the principle of minimum entropy generation,an optimization methodology was realized with genetic algorithm(GA),by which the geometry dimension of the heat exchanger and the fin surface type and sizing can be optimized simultaneously.The distributed-parameter model which takes account of the variation of local fluid physical properties in the heat exchanger can be applied to wet conditions or phase-change conditions.Moreover,because it avoids the complexity of CFD method and shortens the computer execution time greatly,the optimization based on distributed-parameter model is very practical.This optimization methodology can be extended to other kinds of heat exchangers and heat sinks.
Keywords:aerospace propulsion system  compact heat exchanger  3D distributed-parameter  minimum entropy generation  GA(genetic algorithm)  optimization
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