A systematic calibration and validating method for lunar soil DEM model

Liu, Tianxi; Zhou, Junhong; Liang, Lihua; Bai, Zhengfeng; Zhao, Yizhi

doi:10.1016/j.asr.2021.06.050

Cited by 10 publications

(1 citation statement)

References 47 publications

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“…Unfortunately, apart from a certain amount of knowledge about the structure of extraterrestrial soils on which the probe landings take place, it is still not known how they behave under low-gravity conditions. DEM simulations, which are currently effectively used in terrestrial soil modeling, can be used to model the interaction of soil grains with each other under low-gravity conditions [7][8][9]. By designing and developing a machine that interacts with the lunar or Martian regoliths, the created model can be tested and adjusted by interacting with the regolith in terrestrial conditions on a test bench in an Earth laboratory.…”

Section: Introductionmentioning

confidence: 99%

Main Problems Using DEM Modeling to Evaluate the Loose Soil Collection by Conceptual Machine as a Background for Future Extraterrestrial Regolith Harvesting DEM Models

Młynarczyk

Brewczyński

2021

Micromachines

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Nowadays, rapid product development is a key factor influencing a company’s success. In the Space 4.0. era, an integrated approach with the use of 3D printing and DEM modeling can be particularly effective in the development of technologies related to space mining. Unfortunately, both 3D printing and DEM modeling are not without flaws. This article shows the possibilities and problems resulting from the use of DEM simulation and 3D printing simultaneously in the rapid development of a hypothetical mining machine. For the subsequent development of the regolith harvesting model, loose soil harvesting simulations were performed and the underlying problems were defined and discussed. The results show that it is possible to use both technologies simultaneously to be able to effectively and accurately model the behavior of this type of machine in various gravitational conditions in the future.

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Section: Introductionmentioning

confidence: 99%