带鳍通道性能的遗传算法优化

S·S·穆沙维; K·霍曼; S·J·穆沙维

带鳍通道性能的遗传算法优化

1.
SAIPA公司生产部,德黑兰,伊朗;2.昆士兰大学工程学院,布利斯本,澳大利亚;3.航天工业协会知识工程研究中心,德黑兰,伊朗

详细信息

中图分类号: TB126
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- 被引次数: 0
出版历程
- 收稿日期: 2006-09-25
- 修回日期: 2007-11-08
- 刊出日期: 2007-12-15

Genetic Algorithm Optimization for a Finned Channel Performance

1.
Production Department, SAIPA Company, Tehran, Iran;

摘要

摘要: 与光滑通道相比，带鳍通道有更高的传热系数，附加的鳍，极大地增强了通道的传热．然而，传热的增强又与压降的升高相关联，这又导致泵动力需求的增加，因此应该寻求对该系统的优化设计．该文的主要目的是，通过如下方式来精确地确定鳍的位置和尺寸：利用遗传算法实现最小压降时达到最优传热．鳍的每种布局作为问题（遗传算法中的一个个体）的一个解．通常，首先随机地产生一个初始种群，然后该算法在所有这些解中搜索，利用布局函数迭代出新解，最后得到鳍的优化设计．
- Nusselt数 /
- 压降 /
- 遗传算法 /
- 优化设计 /
- 挡板
Abstract: Compared to a smooth channel, a finned-channel provides higher heat transfer coefficient and increasing the fin height enhances the heat transfer. However, this heat transfer enhancement is associated with an increase in the pressure drop. This leads to an increased pumping power requirement so that one may seek an optimum design for such systems. The main goal of this paper is to define the exact location and size of fins in such a way that a minimal pressure drop coincides with an optimal heat transfer based on the genetic algorithm. Each arrangement of fins was considered as a solution of the problem (an individual for genetic algorithm). An initial population was generated randomly at the first step. Then the algorithm had searched among these solutions and made new solutions iteratively by its functions to find an optimum design as reported.
- Nusselt number /
- pressure drop /
- genetic algorithm /
- optimum design /
- baffle

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参考文献(23)

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