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Physics based model for online fault detection in autonomous cryogenic loading system

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Published
  • Ali Kashani
  • Ekaterina Ponizhovskaya
  • Dmitry Luchinsky
  • Vadim Smelyanskiy
  • Jared Sass
  • Barbara Brown
  • Anna Patterson-Hine
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Publication date1/01/2014
Host publicationAdvances in Cryogenic Engineering - Transactions of the Cryogenic Engineering Conference - CEC, Volume 59
EditorsSusan Breon, Jennifer Marquardt, Thomas Peterson, Michael DiPirro, John Pfotenhauer, Jonathan Demko, James Fesmire, Arkadiy Klebaner, Sidney Yuan, Al Zeller, Peter Kittel, Gregory Nellis, Mark Zagarola
PublisherAmerican Institute of Physics Inc.
Pages1305-1310
Number of pages6
Volume1573
ISBN (electronic)9780735412019
<mark>Original language</mark>English
Event2013 Joint Cryogenic Engineering and International Cryogenic Materials Conferences, CEC/ICMC 2013 - Anchorage, United States
Duration: 17/06/201321/06/2013

Conference

Conference2013 Joint Cryogenic Engineering and International Cryogenic Materials Conferences, CEC/ICMC 2013
Country/TerritoryUnited States
CityAnchorage
Period17/06/1321/06/13

Publication series

NameAIP Conference Proceedings
Volume1573
ISSN (Print)0094-243X
ISSN (electronic)1551-7616

Conference

Conference2013 Joint Cryogenic Engineering and International Cryogenic Materials Conferences, CEC/ICMC 2013
Country/TerritoryUnited States
CityAnchorage
Period17/06/1321/06/13

Abstract

We report the progress in the development of the chilldown model for a rapid cryogenic loading system developed at NASA-Kennedy Space Center. 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 SINDA/FLUINT 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 SINDA/FLUINT model as a verification tool for the design and algorithm development required for autonomous loading operation.