航天器工程2024，Vol.33Issue(4)：34-43,10.DOI:10.3969/j.issn.1673-8748.2024.04.005
基于多目标遗传算法的固定蜂窝板辐射器性能优化
Performance Optimization of Fixed Honeycomb Panel Radiator Based on Multi-objective Genetic Algorithm
王建鹏 1郭彤 2陈亮 1姜文杰 1孙晓晨1
作者信息
- 1. 中国科学院微小卫星创新研究院,上海 200050
- 2. 中国科学院微小卫星创新研究院,上海 200050||上海微小卫星工程中心,上海 200120
- 折叠
摘要
Abstract
In response to the high heat dissipation and weight reduction for a low-orbit satellite,an optimization strategy for a honeycomb panel radiator has been proposed.The study has demon-strated that integrating external heat pipes enhances the heat dissipation capability and promotes even surface temperature uniformity of the radiator.By considering the layout parameters of heat pipes and fluid pipelines as design variables,a total of 72 sample combinations have been genera-ted using Optimal Latin Hypercube,and the Radial Basis Function(RBF)with the lowest error is employed to develop the surrogate model.The findings reveal that the iterative optimization process based on NSGA-Ⅱ results in a more than 25％enhancement in heat dissipation capacity,a 65％improvement in surface temperature uniformity,and a 32％reduction in the total mass of the radiator.The analysis of on-orbit thermal control capability indicates that the optimized radi-ator exhibits excellent heat dissipation performance and significant weight reduction advantages,which can provide reference for the design of fixed space radiators.关键词
辐射散热器/数值仿真/多目标遗传算法/代理模型/散热优化Key words
space radiator/numerical simulation/multi-objective genetic algorithm/surrogate model/heat dissipation optimization分类
能源与动力引用本文复制引用
王建鹏,郭彤,陈亮,姜文杰,孙晓晨..基于多目标遗传算法的固定蜂窝板辐射器性能优化[J].航天器工程,2024,33(4):34-43,10.
