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Experimental Setup to Simulate Structure-Property-Process Relationship of Lunar Regolith

Completed TRL 4 (started at 3, targeting 4)

Description

This project is expected to deliver a fully functional ground-based unit that will enable further development of AI/ML technology applied to granular media studies. The unit will include a series of complex shape tumblers (e.g.- hour-glass) with varying flow channel geometries and flow angles that will be filled with regolith simulants. Each tumbler will be surrounded by an imaging system which will capture the data in 360 degrees. The data will be fed through a neural radiance field (NeRF) pipeline, provided by Nvidia. The NeRF pipeline uses machine learning to assemble multiple two-dimensional images into a single three-dimensional image or immersive model, which scientists can study and interact with in ways that were previously not possible.

Benefits

This proposal provides a unique, scalable and easy to implement imaging capability that will help fundamental experiments related to granular media (e.g.- lunar regolith simulants, lunar regolith etc.) and thereby expediting technology development pertinent to Artemis missions, ISRU activities, and the Moon-to-Mars initiative.

Details

Technology areaSoftware, Modeling, Simulation, and Information Processing > Information Processing and Artificial Intelligence
ProgramCenter Innovation Fund: GRC CIF (GRC CIF)
Lead organizationGlenn Research Center, Cleveland, OH
Start date2023-10-01
End date2024-09-30

Project contacts

Listed on TechPort itself — the most direct way to ask about this specific project.

How to get involved

This is early/mid-stage (TRL 4) — the most realistic path in is NASA SBIR/STTR, which funds small businesses and research institutions to develop technology aligned with NASA's needs (equity-free, phased funding). Check whether a current SBIR/STTR solicitation topic overlaps with this project's technology area, or contact the project directly (above) to ask.

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