Application of entransy to optimization design of parallel thermal network of thermal control system in spacecraft

作     者：CHENG XueTao XU XiangHua LIANG XinGang 

作者机构：Key Laboratory for Thermal Science and Power Engineering of Ministry of EducationDepartment of Engineering Mechanics Tsinghua UniversityBeijing 100084China 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2011年第54卷第4期

页      面：964-971页

核心收录：

学科分类：0810[工学-信息与通信工程] 07[理学] 08[工学] 070104[理学-应用数学] 081001[工学-通信与信息系统] 0701[理学-数学] 

基　　金：supported by Tsinghua University Initiative Scientific Research Program 

主　　题：thermal control system parallel thermal network optimization design extremum entransy dissipation principle 

摘      要：For distribution optimization of the flow rate of cold fluid and heat transfer area in the parallel thermal network of the thermal control system in spacecraft,a physical and mathematical model is set up,analyzed and discussed with the entransy *** is found that the optimization objective of this problem and the optimization direction of the extremum entransy dissipation principle are consistent in *** a two-branch thermal network system,the distributions of the flow rate of the cold fluid and the heat transfer area are optimized by calculating the extremum entransy dissipation with the Newton *** influential factors of the optimized distributions are also analyzed and *** results show that the main influence factors are the heat transfer rate of the branches and the total heat transfer *** total flow rate of the cold fluid has a threshold,beyond which further increasing its value brings very little influence on the optimization ***,the difference between the extremum entransy dissipation principle and the minimum entropy generation principle is also discussed when they are used to analyze the problem in this paper,and the extremum entransy dissipation principle is found to be more *** addition,the Newton method is mathematically efficient to solve the problem,which could accomplish the optimized distribution in a very short time for a ten-branch thermal network system.