Inferential framework for two-fluid model of cryogenic chilldown

Luchinsky, D. G.; Khasin, Michael; Timuçin, Doǧan A.; Sass, Jared; Brown, Barbara

doi:10.1016/j.ijheatmasstransfer.2017.06.097

Cited by 14 publications

(23 citation statements)

References 59 publications

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“…Having in mind fast online applications of the solver we have tested a number of algorithms for the separated two-phase flow [30,31,[39][40][41][42][43][44]. It was shown that the nearly implicit algorithm (NIA), similar to one developed in [7], can be applied successfully for online predictions of nonhomogeneous and non-equilibrium flows.…”

Section: Two-phase Flow Modelmentioning

confidence: 99%

“…Below we describe briefly the NIA and the corresponding model equations. The details can be found in [39,40,[42][43][44][45].…”

Section: Two-phase Flow Modelmentioning

confidence: 99%

“…A concise subset of these correlations briefly discussed below was selected as a result of extensive numerical analysis and validation using two experimental setups; see Section 4 and Refs. [44,45,54].…”

Section: Constitutive Relationsmentioning

confidence: 99%

“…and 29, respectively. Using parameterization of the heat transfer correlations described in Section 3.2, we could obtain smooth transition from the pool boiling correlations to the flow boiling regime as the mass flux and void fraction of the flow increase [44].…”

Section: Heat and Mass Transfermentioning

confidence: 99%

“…The algorithms discussed above were used to develop a number of applications related to the management of cryogenic flows including, e.g., fault detection [72], diagnostics [38], evaluation [37], parameter inference, and optimization [44,73].…”

Section: Applicationsmentioning

confidence: 99%

See 4 more Smart Citations

Two-Phase Flow Modeling of Cryogenic Loading Operations

Devine¹,

Luchinsky²,

Foygel³

et al. 2019

Heat and Mass Transfer - Advances in Science and Technology Applications

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We consider problem of modeling and controlling two-phase cryogenic flows during ground loading operations. We introduce homogeneous moving front and separated two-phase flow solvers that are capable of fast and accurate online predictions of flow dynamics during chilldown and transfer under nominal conditions and in the presence of faults. Concise sets of cryogenic correlations are proposed in each case. We present results of application of proposed solvers to the analysis of chilldown in large-scale experimental cryogenic transfer line build in Kennedy Space Center. We discuss optimization of parameters of cryogenic models obtained using general inferential framework and an application of the solvers to the fault detection and evaluation based on D-matrix approach. It is shown that solver's predictions are in good agreement with experimental data obtained for liquid nitrogen flow in nominal regime and in the presence of faults.

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