航天器环境工程2024，Vol.41Issue(4)：421-429,9.DOI:10.12126/see.2024004
基于聚类算法的热试验加热器布局设计与优化
The layout design and optimization of heating circuits in thermal test based on clustering algorithm
摘要
Abstract
At present,there exist issues in spacecraft thermal test involving intricate demands for thermal flux simulation,low efficiency in heating circuit design,and difficulty in quantification.Taking a set of thermal control simulation components of a mission as representative cases,temperature non-uniformity models corresponsive to the combination of various featured length components and thin film electric heaters were established through finite element method.A clustering method based on the temperature non-uniformity distance was presented.The clustering simulation was conducted based on MATLAB.Compared with the Euclidean distance clustering method,the results show that the temperature non-uniformity with the proposed algorithm can be reduced by about 30%under the same conditions.In addition,the influence of clustering number,heating surface fine fraction,and number of surfaces to be heated on the clustering results and temperature non-uniformity were compared.It may provide a reference for the layout design and optimization of heating circuits in the future thermal test.关键词
航天器热试验/聚类算法/薄膜电加热器/热设计/温度不均匀度Key words
spacecraft thermal test/clustering algorithm/thin film electric heater/thermal design/temperature non-uniformity分类
航空航天引用本文复制引用
龚喆,侯雅琴,李西园,吴东亮,邵华,高庆华,李琼..基于聚类算法的热试验加热器布局设计与优化[J].航天器环境工程,2024,41(4):421-429,9.基金项目
北京市科技新星项目(编号:Z211100002121077) （编号:Z211100002121077）
