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Design Method of Heat Pipe Array’s Layout for Lunar Polar Water Ice Mining
- ZHAO Jialong, YUAN Shuai, ZHANG Zexu
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School of Astronautics, Harbin Institute of Technology, Harbin 150001, China
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Received |
Revised |
Published |
17 May 2022 |
21 Jul 2022 |
21 Nov 2023 |
Issue Date |
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21 Nov 2023 |
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Abstract
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.
Keywords
water ice mining /
heat pipe array /
genetic algorithm /
optimization problem
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ZHAO Jialong, YUAN Shuai, ZHANG Zexu.
Design Method of Heat Pipe Array’s Layout for Lunar Polar Water Ice Mining. Journal of Deep Space Exploration, 2023, 10(5): 494‒502 https://doi.org/10.15982/j.issn.2096-9287.2023.20220047
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References
[1] SCHMITT H H,ARMSTRONG N. Return to the Moon:exploration,enterprise,and energy in the human settlement of space[M]. New York:Copernicus Books,2006.
[2] LI C,WANG C,WEI Y,et al. China’s present and future lunar exploration program[J]. Science,2019,365(6450):238-239.
[3] FELDMAN W C,MAURICE S,LAWRENCE D J,et al. Evidence for water ice near the lunar poles[J]. Journal of Geophysical Research:Planets,2001,106(E10):23231-23251.
[4] 何成旦,李亚胜,温智,等. 月表水冰探测与赋存形态研究进展[J]. 真空与低温,2021,27(6):589-600.HE C D,LI Y S,WEN Z,et al. Research progress of lunar surface water ice detection and occurrence form[J]. Vacuum and Cryogenics,2021,27(6):589-600.
[5] 王超,张晓静,姚伟. 月球极区水冰资源原位开发利用研究进展[J]. 深空探测学报(中英文),2020,7(3):241-247.WANG C,ZHANG X J,YAO W. Research prospects of lunar polar water ice resource in-situ utilization[J]. Journal of Deep Space Exploration,2020,7(3):241-247.
[6] BRISSET J,MILETICH T,METZGER P. Thermal extraction of water ice from the lunar surface-A 3D numerical model[J]. Planetary and Space Science,2020,193:105082.
[7] SONG H,ZHANG J,NI D,et al. Investigation on in-situ water ice recovery considering energy efficiency at the lunar south pole[J]. Applied Energy,2021,298:117136.
[8] ZACNY K,VENDIOLA V,MORRISION P,et al. Earth and Space 2021[M]//USA: American Society of Civil Engineers, 2021: 713-723.
[9] JUST G H. Investigation and development of regolith excavation and handling mechanisms for lunar in-situ resource utilisation[D]. United Kingdom:The University of Manchester (United Kingdom),2021.
[10] 张光涵. 月壤水冰挥发扩散特性及热扰动模型研究[D]. 哈尔滨:哈尔滨工业大学,2021.ZhANG G H. Research on volatilization-diffusion characteristics and thermal disturbance model of lunar soil water ice[D]. Harbin:Harbin Institute of Technology,2021.
[11] SANIN A B,MITROFANOV I G,LITVAK M L,et al. Testing lunar permanently shadowed regions for water ice:LEND results from LRO[J]. Journal of Geophysical Research:Planets,2012,117(E12):1-8.
[12] 任小朋,樊红辉. 冻土导热系数的非线性规律研究[J]. 成都大学学报:自然科学版,2015,34(1):101-104.REN X P,FAN H H. Nonlinear law research of heat conductivity for frozen soil[J]. Journal of Chengdu University:Natural Science Edition,2015,34(1):101-104
[13] 杨建宏. 抛物型方程有限差分法显—隐格式比较分析[J]. 河南科学,2012,30(4):407-410.YANG J H. Comparation on explicit-implicit schemes of finite difference method for the parabolic equations[J]. Henan Science,2012,30(4):407-410.
[14] WANG Y,WANG S,LIU S,et al. Three-dimensional simulation of a PEM fuel cell with experimentally measured through-plane gas effective diffusivity considering Knudsen diffusion and the liquid water effect in porous electrodes[J]. Electrochimica Acta,2019,318:770-782.
[15] AMJAD M K,BUTT S I,KOUSAR R,et al. Recent research trends in genetic algorithm based flexible job shop scheduling problems[J]. Mathematical Problems in Engineering,2018(8):1-32.
[16] MIRJALILI S,SONG DONG J,SADIQ A S,et al. Genetic algorithm:theory,literature review,and application in image reconstruction[J]. Nature-inspired Optimizers,2020(2):69-85.
[17] ZANG W,REN L,ZHANG W,et al. A cloud model based DNA genetic algorithm for numerical optimization problems[J]. Future Generation Computer Systems,2018,81:465-477.
[18] 马洁莹. 基于轮盘赌策略的混沌萤火虫算法研究[D]. 西安:西安电子科技大学,2018.MA J Y. Research on chaotic firefly algorithm based on roulette wheel selection strategy[D]. Xidian:Xidian University,2018.
[19] HEMANTH D J,ANITHA J. Modified genetic algorithm approaches for classification of abnormal magnetic resonance brain tumour images[J]. Applied Soft Computing,2019,75:21-28.
[20] HASSANAT A,ALMOHAMMADI K,ALKAFAWEEN E,et al. Choosing mutation and crossover ratios for genetic algorithms—a review with a new dynamic approach[J]. Information,2019,10(12):390.
[21] 胡涛,申立群,付晋,等. 基于多种群遗传算法的航天复杂系统测试任务调度[J/OL].[2022-05-09], 计算机集成制造系统. http://kns.cnki.net/kcms/detail/11.5946.tp.20220314.1122.010.html.HU T,SHEN L Q,FU J,et al. Scheduling of aerospace complex system test tasks based on multi-population genetic algorithm[J/OL]. [2022-05-09], Computer Integrated Manufacturing Systems. http://kns.cnki.net/kcms/detail/11.5946.tp.20220314.1122.010.html.