| 摘要: |
| 热管作为一种高效热传输设备,被广泛应用于许多领域。对高效热管的优化设计,通常会涉及到多个目标参数,传统的设计方法往往无法同时有效地优化多个目标。首先通过对热管建立热网络分析模型和热传输极限模型,给出了热管多目标优化问题的数学描述。其次设计了基于遗传算法的多目标优化算法,并通过多个算例证实了该算法的有效性及优越性。由于数学问题的提出是基于热管的基本原理,因此该算法具有可推广性,可用于多种形式的热管设计。 |
| 关键词: 热工学 热管 传热率 热阻 优化设计 多目标遗传算法 |
| DOI：10.3969/j.issn.0253-4339.年份（4位数字）.月份（2位数字）.文章的起始页码（3位数字） |
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| 基金项目:国家自然科学基金资助项目(50876035); 中国博士后科学基金资助项目(20070420903)~~ |
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| Optimal Design of Heat Pipe Based on the Multi-object Genetic Algorithm |
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| Abstract: |
| Heat pipes have been used widely in many engineering fields due to their higher rate of heat transfer.However,the design of heat pipes often involves selection of multiple parameters and the conventional design algorithms are not efficient in optimizing these parameters simultaneously.In this paper,the thermal network model and heat transfer limit model of a typical heat pipe were built.Based on them,the optimal problem of the heat pipe is defined mathematically.Then a multi-object optimization algorithm ba... |
| Key words: Pyrology Heat pipe Heat conductivity Thermal resistance Optimal design Multi-object genetic algorithm |
