Micro Quantitative Sampler for Lunar Regolith: Design and Validation

Journal of Deep Space Exploration ›› 2022, Vol. 9 ›› Issue (2) : 165 -172.

PDF (2959KB)
Journal of Deep Space Exploration ›› 2022, Vol. 9 ›› Issue (2) : 165 -172. DOI: 10.15982/j.issn.2096-9287.2022.20210148
Topic:Sampling and Detection Technology of Icy Lunar Regolith
Topic:Sampling and Detection Technology of Icy Lunar Regolith

Micro Quantitative Sampler for Lunar Regolith: Design and Validation

Author information +
History +
PDF (2959KB)

Abstract

Based on the environment and conditions of lunar polar regions, and the actual demand of scientific analysis instrument for regolith samples, a volatile extraction method was proposed, which coupled sampling and volatile extraction. A kind of micro quantitative sampler was designed with some sampling pieces assembled in a sampling tube to complete lunar regolith sampling. After sampling, the sample was placed in the extraction device to be heated, which heated the regolith inside it indirectly and rendered it volatile. In this paper, in view of the requirements of the sampling function of extraterrestrial objects,the working principle and key structural parameters were designed, and the verification test of the performance of lunar regolith micro-sampling was carried out. The results showed that the lower the lunar soil moisture content was, the closer the sampling amount was to the target value. Preliminary heating tests show that the scheme can heat the sample to the target temperature at a specified power. The preliminary heating test shows that the sampler can be used for future in-situ analysis of the volatile of deep space exploration in China.

Keywords

lunar regolith / in-situ analysis / micro-quantitative sampling / sampler / volatile extraction

Cite this article

Download citation ▾
null. Micro Quantitative Sampler for Lunar Regolith: Design and Validation. Journal of Deep Space Exploration, 2022, 9(2): 165-172 DOI:10.15982/j.issn.2096-9287.2022.20210148

登录浏览全文

4963

注册一个新账户 忘记密码

References

AI Summary AI Mindmap
PDF (2959KB)

773

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/