Physics Based Model for Online Fault Detection in Autonomous Cryogenic Loading System

Kashani, Ali; Devine, Ekaterina Viktorovna P; Luchinsky, Dmitry Georgievich; Smelyanskiy, Vadim; Sass, Jared P.; Brown, Barbara L.; Patterson-Hine, Ann

NASA NTRS · 20140005245

Physics Based Model for Online Fault Detection in Autonomous Cryogenic Loading System

Kashani, Ali·Devine, Ekaterina Viktorovna P·Luchinsky, Dmitry Georgievich·Smelyanskiy, Vadim·Sass, Jared P.·Brown, Barbara L.·Patterson-Hine, Ann

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Abstract

We report the progress in the development of the chilldown model for rapid cryogenic loading system developed at KSC. The nontrivial characteristic feature of the analyzed chilldown regime is its active control by dump valves. The two-phase flow model of the chilldown is approximated as one-dimensional homogeneous fluid flow with no slip condition for the interphase velocity. The model is built using commercial SINDAFLUINT software. The results of numerical predictions are in good agreement with the experimental time traces. The obtained results pave the way to the application of the SINDAFLUINT model as a verification tool for the design and algorithm development required for autonomous loading operation.

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Cryogenics SINDA/FLUINT Two-phase flow

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Kashani, Ali, Devine, Ekaterina Viktorovna P, Luchinsky, Dmitry Georgievich, Smelyanskiy, Vadim, Sass, Jared P., Brown, Barbara L., Patterson-Hine, Ann. 2013-06-16. Physics Based Model for Online Fault Detection in Autonomous Cryogenic Loading System. https://ntrs.nasa.gov/citations/20140005245

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