Numerical Modeling of Thermal Behavior during Lunar Soil Drilling

被引:5
|
作者
Zhao, Deming [1 ]
Cheng, Zhisheng [1 ]
Zhang, Weiwei [2 ]
Cui, Jinsheng [3 ]
Wang, He [1 ]
机构
[1] Zhejiang Sci Tech Univ, Sch Mech Engn, Hangzhou 310018, Peoples R China
[2] Harbin Inst Technol, Sch Mech Engn, Harbin 150001, Peoples R China
[3] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Peoples R China
基金
中国国家自然科学基金;
关键词
lunar icy regolith drilling; thermal sieve; multi-level particle size simulation model; thermal simulation analysis; CONDUCTIVITY;
D O I
10.3390/aerospace10050472
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper presents a detailed thermal simulation analysis of the drilling process for icy soil in the lunar polar region. The aim is to investigate the temperature changes that occur in the debris removal area during the drilling process. We developed a multi-level particle size simulation model that includes a thermal sieve based on geometric constraints to evaluate the influence of specific heat capacity and thermal conductivity on particle temperature. Using the central composite design method, we carried out the simulation test design and analyzed the average temperature difference of particles within and outside the range of the thermal sieve. The parameters of the discrete element model were determined by comparing the temperature of the debris removal zone in the lunar environment with the temperature simulated by the discrete element method. The results show that the thermal conductivity of the sieve ranges from 100 to 400 W/m, and the average temperature inside the thermal sieve is negatively related to the specific heat capacity. The temperature deviation of the chip removal area is +/- 10 degrees C, which is consistent with the temperature deviation observed in the lunar environment and the lunar icy regolith drilling test. Furthermore, the addition of the thermal sieve to the multi-stage particle size simulation modeling significantly reduces the calculation time by 86%. This reduction in computational time may potentially increase the efficiency of drilling operations in the future. Our study provides insights into the thermal behavior of lunar icy regolith during drilling, and proposes a numerical model of heat transfer with a thermal sieve that can effectively reduce computational time while ensuring accurate temperature calculations.
引用
收藏
页数:17
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