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Heat Transfer Analysis and Optimization of Heat Pipe Radiator Used in Space

Author: DuXiaoJuan
Tutor: YuanZhongXian
School: Beijing University of Technology
Course: Thermal Power Engineering
Keywords: Optimization Heat pipe radiator Thermal control Genetic Algorithms
CLC: TK124
Type: Master's thesis
Year: 2010
Downloads: 115
Quote: 0
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Abstract


Space radiator as a spacecraft thermal control of the important cooling components are spacecraft heat exchange with the space environment for the main unit , spacecraft heat system is an important component . Especially with the development of space technology , a number of high power, high heat flux electrical components are widely used , making the space radiation heat load increasing, the quality is growing. Spacecraft design saves weight is one of the universal principles . For this purpose , the paper launched a fixed amount of heat pipe cooling radiators for thermal analysis and design optimization studies . First, create a heat pipe radiator thermal analysis model of the heat transfer mechanism , summarized in a given condition the amount of heat , the heat pipe radiator design principle and process of calculating the weight of the radiator . Write a program using MATLAB to calculate different spacing and fin heat pipe heat pipe radiator thickness weight , that the best heat pipe spacing and fin thickness corresponding to the lightest weight and the heat carrying fluid parameter space outside the heat effect on the weight of the radiator . Secondly, introduces the basic theory of genetic algorithms and implementation process, including genetic algorithm coding, the generation of the initial population , fitness function to determine the genetic operator selection, genetic algorithm termination, etc. , and the use of basic genetic algorithm geosynchronous track on the north-south axis stabilized satellite heat pipe radiator surfaces optimize the structure parameters chosen so that the lightest radiator . By changing the genetic algorithm crossover and mutation probability , draw two parameters on the algorithm convergence and population diversity. Finally , the use of the basic genetic algorithm and improved adaptive genetic algorithm for a fixed amount of heat pipe heat radiator to optimize the design . By using the basic genetic algorithm heat pipe radiator heat pipe spacing optimization options , draw radiation obtained with this method than the previous high regard by enumerating lightweight way to search and apply basic genetic algorithm and improved adaptive genetic algorithm for heat pipe radiator structural parameters and the heat carrying fluid parameters are optimized selection, obtained using the improved adaptive genetic algorithm design of heat pipe radiation esteem than the basic genetic algorithm obtained radiator and light weight.

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CLC: > Industrial Technology > Energy and Power Engineering > Thermal engineering, heat > Thermal Engineering Theory > Heat Transfer
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