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月球极区水冰开采热管阵列布局设计方法

Design Method of Heat Pipe Array’s Layout for Lunar Polar Water Ice Mining
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摘要 针对月球极区水冰原位资源开采问题,提出一种热管阵列布局设计方法。根据水冰开采方案给出了热管阵列,用三维有限差分方法对热管阵列进行热传导数值解算;建立采水量与热流消耗的目标函数,利用遗传算法对热管阵列布局进行优化,迭代搜索出热管布局的最优解。仿真实验表明,提出的热管阵列布局优化方法能够以最小的热流消耗获得最大的采水量,并给出一次任务能够收集的水冰质量和所需总时间。将这一设计方法应用于月球基地生命保障系统,可提高极地原位资源的采集效率。 To exploit water ice in-situ resources in lunar polar region,a design method of heat pipe array’s layout was proposed in this paper.Firstly,the heat pipe array was presented according to the water ice mining scheme,and heat conduction process of heat pipe array was numerically solved by three-dimensional finite difference method.Secondly,the objective function of water production and heat flow consumption was established.Genetic algorithm was used to optimize the layout of heat pipe array,and the optimal solution of heat pipe’s layout was acquired by iterative search.Simulation results show that the optimal layout of heat pipe array could obtain maximum water production with minimum heat flow consumption.Besides,mass of water ice collected in a task and total time required were given.The application of this design method to life support system of lunar base can improve the efficiency of polar in-situ resources’collection.
作者 赵嘉龙 袁帅 张泽旭 ZHAO Jialong;YUAN Shuai;ZHANG Zexu(School of Astronautics,Harbin Institute of Technology,Harbin 150001,China)
出处 《深空探测学报(中英文)》 CSCD 北大核心 2023年第5期494-502,共9页 Journal Of Deep Space Exploration
基金 国家自然科学基金重点项目(52238002) 中央高校基本科研业务费专项资金(2022FRFK01001)。
关键词 水冰开采 热管阵列 遗传算法 最优化问题 water ice mining heat pipe array genetic algorithm optimization problem
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