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Completed TRL 4 (started at 2, targeting 4)
Cryogenic fluids undergo complex behavior during their transportation and storage in terrestrial and microgravity conditions. We will develop a unified computational approach to model fast and complex behaviors during pressurization, transport, and mixing with computational fluid dynamics (CFD) techniques while using a multi-nodal representation for long and at-rest periods. The partitioning of the computational domain with a block-structured adaptive mesh refinement (AMR) enables efficient model/mesh refinement based on the complexity of the fluid/thermal dynamics. This computational approach will be validated and calibrated by a wide canonical/in-house experiments for cryogenic fluids and cryogenic storage systems. The model and the tools developed by this project will be integrated with NASAs design and development software packages.
This project will provide flexible framework design of cryogenic tanks, with a novel design procedure for settled and unsettled conditions. The project provides a response map for different storage & transport cryogenic applications and provide improved modeling/design capabilities at NASA.
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