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NASA NTRS · Technical Memorandum (TM)

Repeatable Method for Conducting Chamber Studies of Aerosolized Lunar Simulant

Published 2022-12-14 From Glenn Research Center 2 authors

Attribution

This is the abstract and citation. Full text lives at NASA NTRS — we link out rather than host. All credit to the authors and Glenn Research Center.

Abstract

Verbatim from NASA NTRS. Not paraphrased, not summarized.

The Artemis Mission goal of returning humans to the Moon requires new solutions to engineering problems posed by the extremely harsh environment of the lunar surface. Using the Apollo missions as historical evidence, dust will be a significant obstacle in the success of a sustained human and robotic presence. Hardware such as tools, machinery, extra-vehicular activity (EVA) suits, and components of landers and habitats will all be subject to various degrees of contamination by lunar dust, and each piece of hardware has its own considerations for performance under dusty conditions. Such hardware must be tested and verified for use during lunar missions under guidance from NASA technical standards. Aerosolized dust can be used to test and verify hardware in two ways: volumetric and surface area loading. Volumetric loading (measured in mass of airborne dust per volume of air) may cause hardware to malfunction via dust ingestion or other mechanisms. Surface area loading (measured in mass of settled dust per surface area) may cause hardware to malfunction by altering its thermal properties or by fouling optical surfaces such as camera lenses. This publication describes a method to achieve a stable, user-determined volumetric loading in an arbitrary chamber along with recommendations for how to use such chambers for customized hardware testing.

Authors

  • Benjamin J Sumlin Universities Space Research Association
  • Marit E Meyer Glenn Research Center

Citation: Benjamin J Sumlin, Marit E Meyer (2022). Repeatable Method for Conducting Chamber Studies of Aerosolized Lunar Simulant. Glenn Research Center. NASA NTRS ID 20220007064. https://ntrs.nasa.gov/citations/20220007064 ↗