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Optimization of cryogenic chilldown and loading operation using SINDA/FLUINT

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Optimization of cryogenic chilldown and loading operation using SINDA/FLUINT. / Kashani, Ali; Luchinsky, Dmitry; Ponizhovskaya, Ekaterina et al.
In: IOP Conference Series: Materials Science and Engineering, Vol. 101, No. 1, 12115, 2015.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Kashani, A, Luchinsky, D, Ponizhovskaya, E, Khasin, M, Timucin, D, Sass, J, Perotti, J & Brown, B 2015, 'Optimization of cryogenic chilldown and loading operation using SINDA/FLUINT', IOP Conference Series: Materials Science and Engineering, vol. 101, no. 1, 12115. https://doi.org/10.1088/1757-899X/101/1/012115

APA

Kashani, A., Luchinsky, D., Ponizhovskaya, E., Khasin, M., Timucin, D., Sass, J., Perotti, J., & Brown, B. (2015). Optimization of cryogenic chilldown and loading operation using SINDA/FLUINT. IOP Conference Series: Materials Science and Engineering, 101(1), Article 12115. https://doi.org/10.1088/1757-899X/101/1/012115

Vancouver

Kashani A, Luchinsky D, Ponizhovskaya E, Khasin M, Timucin D, Sass J et al. Optimization of cryogenic chilldown and loading operation using SINDA/FLUINT. IOP Conference Series: Materials Science and Engineering. 2015;101(1):12115. doi: 10.1088/1757-899X/101/1/012115

Author

Kashani, Ali ; Luchinsky, Dmitry ; Ponizhovskaya, Ekaterina et al. / Optimization of cryogenic chilldown and loading operation using SINDA/FLUINT. In: IOP Conference Series: Materials Science and Engineering. 2015 ; Vol. 101, No. 1.

Bibtex

@article{a811c7860b7841d685a6546ea8f6a961,
title = "Optimization of cryogenic chilldown and loading operation using SINDA/FLUINT",
abstract = "A cryogenic advanced propellant loading system is currently being developed at NASA. A wide range of applications and variety of loading regimes call for the development of computer assisted design and optimization methods that will reduce time and cost and improve the reliability of the APL performance. A key aspect of development of such methods is modeling and optimization of non-equilibrium two-phase cryogenic flow in the transfer line. Here we report on the development of such optimization methods using commercial SINDA/FLUINT software. The model is based on the solution of two-phase flow conservation equations in one dimension and a full set of correlations for flow patterns, losses, and heat transfer in the pipes, valves, and other system components. We validate this model using experimental data obtained from chilldown and loading of a cryogenic testbed at NASA Kennedy Space Center. We analyze sensitivity of this model with respect to the variation of the key control parameters including pressure in the tanks, openings of the control and dump valves, and insulation. We discuss the formulation of multi-objective optimization problem and provide an example of the solution of such problem.",
author = "Ali Kashani and Dmitry Luchinsky and Ekaterina Ponizhovskaya and Michael Khasin and Dogan Timucin and Jared Sass and Jose Perotti and Barbara Brown",
year = "2015",
doi = "10.1088/1757-899X/101/1/012115",
language = "English",
volume = "101",
journal = "IOP Conference Series: Materials Science and Engineering",
issn = "1757-899X",
publisher = "IOP Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Optimization of cryogenic chilldown and loading operation using SINDA/FLUINT

AU - Kashani, Ali

AU - Luchinsky, Dmitry

AU - Ponizhovskaya, Ekaterina

AU - Khasin, Michael

AU - Timucin, Dogan

AU - Sass, Jared

AU - Perotti, Jose

AU - Brown, Barbara

PY - 2015

Y1 - 2015

N2 - A cryogenic advanced propellant loading system is currently being developed at NASA. A wide range of applications and variety of loading regimes call for the development of computer assisted design and optimization methods that will reduce time and cost and improve the reliability of the APL performance. A key aspect of development of such methods is modeling and optimization of non-equilibrium two-phase cryogenic flow in the transfer line. Here we report on the development of such optimization methods using commercial SINDA/FLUINT software. The model is based on the solution of two-phase flow conservation equations in one dimension and a full set of correlations for flow patterns, losses, and heat transfer in the pipes, valves, and other system components. We validate this model using experimental data obtained from chilldown and loading of a cryogenic testbed at NASA Kennedy Space Center. We analyze sensitivity of this model with respect to the variation of the key control parameters including pressure in the tanks, openings of the control and dump valves, and insulation. We discuss the formulation of multi-objective optimization problem and provide an example of the solution of such problem.

AB - A cryogenic advanced propellant loading system is currently being developed at NASA. A wide range of applications and variety of loading regimes call for the development of computer assisted design and optimization methods that will reduce time and cost and improve the reliability of the APL performance. A key aspect of development of such methods is modeling and optimization of non-equilibrium two-phase cryogenic flow in the transfer line. Here we report on the development of such optimization methods using commercial SINDA/FLUINT software. The model is based on the solution of two-phase flow conservation equations in one dimension and a full set of correlations for flow patterns, losses, and heat transfer in the pipes, valves, and other system components. We validate this model using experimental data obtained from chilldown and loading of a cryogenic testbed at NASA Kennedy Space Center. We analyze sensitivity of this model with respect to the variation of the key control parameters including pressure in the tanks, openings of the control and dump valves, and insulation. We discuss the formulation of multi-objective optimization problem and provide an example of the solution of such problem.

U2 - 10.1088/1757-899X/101/1/012115

DO - 10.1088/1757-899X/101/1/012115

M3 - Journal article

VL - 101

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

SN - 1757-899X

IS - 1

M1 - 12115

ER -