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

Luchinskiy, Dmitry G; Devine, Ekaterina Ponizovskaya; Hafiychuk, Vasyl; Kashani, A.; Khasin, Michael; Timuçin, Doǧan A.; Sass, Jared; Perotti, Jose; Brown, Barbara

doi:10.1088/1757-899x/101/1/012069

Cited by 3 publications

(6 citation statements)

References 15 publications

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“…Using this approach we were able to demonstrate convergence of the model predictions towards experimental time-series obtained for chilldown of the cryogenic transfer lines under various experimental conditions [45,[89][90][91][92]. An example of such convergence is provided in the next section.…”

Section: F Variance Of the Model Parametersmentioning

confidence: 88%

Inferential framework for two-fluid model of cryogenic chilldown

Luchinsky

Khasin

Timuçin

et al. 2017

International Journal of Heat and Mass Transfer

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We report a development of probabilistic framework for parameter inference of cryogenic twophase flow based on fast two-fluid solver. We introduce a concise set of cryogenic correlations and discuss its parameterization. We present results of application of proposed approach to the analysis of cryogenic chilldoown in horizontal transfer line. We demonstrate simultaneous optimization of large number of model parameters obtained using global optimization algorithms. It is shown that the proposed approach allows accurate predictions of experimental data obtained both with saturated and sub-cooled liquid nitrogen flow. We discuss extension of predictive capabilities of the model to practical full scale systems.

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Section: F Variance Of the Model Parametersmentioning

confidence: 88%

Inferential framework for two-fluid model of cryogenic chilldown

Luchinsky

Khasin

Timuçin

et al. 2017

International Journal of Heat and Mass Transfer

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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%

See 1 more Smart Citation

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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“…The integration of the model ( 1) -( 2) was performed in two steps following closely the nearly-implicit method described in RELAP5-3D (RELAP5-3D-I, 2012), see (D. G. Luchinsky et al, 2014c;Luchinskiy et al, 2015) for the details. The first step of the algorithm can be briefly summarized as follows: (i) Solve the set of coupled expanded density-energy equations with respect to pressure in terms of new velocities;…”

Section: Algorithmmentioning

confidence: 99%

Inferential framework for autonomous cryogenic loading operations

et al. 2017

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We address the problem of autonomous cryogenic management of loading operations on the ground and in space. As a step towards the solution of this problem we develop a probabilistic framework for inferring correlations parameters of two-fluid cryogenic flow. The simulation of two-phase cryogenic flow is performed using nearly-implicit scheme. A concise set of cryogenic correlations is introduced. The proposed approach is applied to an analysis of the cryogenic flow in experimental Propellant Loading System built at NASA Kennedy Space Center. An efficient simultaneous optimization of a large number of model parameters is demonstrated and a good agreement with the experimental data is obtained.

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

Cited by 3 publications

References 15 publications

Inferential framework for two-fluid model of cryogenic chilldown

Inferential framework for two-fluid model of cryogenic chilldown

Two-Phase Flow Modeling of Cryogenic Loading Operations

Inferential framework for autonomous cryogenic loading operations

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