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Hierarchy of two-phase flow models for autonomous control of cryogenic loading operation

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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  • Dmitry Luchinsky
  • Ekaterina Ponizhovskaya
  • Vasyl Hafiychuk
  • Ali Kashani
  • Michael Khasin
  • Dogan Timuchin
  • Jared Sass
  • Jose Perotti
  • Barbara Brown
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Article number12069
<mark>Journal publication date</mark>2015
<mark>Journal</mark>IOP Conference Series: Materials Science and Engineering
Issue number1
Volume101
Number of pages8
Publication StatusPublished
<mark>Original language</mark>English

Abstract

We report on the development of a hierarchy of models of cryogenic two-phase flow motivated by NASA plans to develop and maturate technology of cryogenic propellant loading on the ground and in space. The solution of this problem requires models that are fast and accurate enough to identify flow conditions, detect faults, and to propose optimal recovery strategy. The hierarchy of models described in this presentation is ranging from homogeneous moving- front approximation to separated non-equilibrium two-phase cryogenic flow. We compare model predictions with experimental data and discuss possible application of these models to on-line integrated health management and control of cryogenic loading operation.