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Research Papers

Investigation of Tank Pressurization and Pressure Control—Part II: Numerical Modeling

[+] Author and Article Information
Stephen Barsi

NASA Glenn Research Center,
Cleveland, OH 44135
e-mail: stephen.j.barsi@nasa.gov

Mohammad Kassemi

National Center for Space Exploration Research,
NASA Glenn Research Center,
Cleveland, OH 44135
e-mail: mohammad.kassemi@nasa.gov

1Corresponding author.

Manuscript received October 22, 2012; final manuscript received February 3, 2013; published online September 27, 2013. Assoc. Editor: Jovica R. Riznic.

J. Thermal Sci. Eng. Appl 5(4), 041006 (Sep 27, 2013) (9 pages) Paper No: TSEA-12-1203; doi: 10.1115/1.4023892 History: Received October 22, 2012; Revised February 03, 2013

A multizone model is used to predict both the self-pressurization and pressure control behavior of a ground-based experiment. The multizone model couples a finite element heat conduction model of the tank wall to the bulk conservation equations in the ullage and the liquid. Comparisons are made to the experimental data presented in a companion paper. Results suggest that the multizone model can predict self-pressurization behavior over a variety of test conditions. The model is also used to predict the pressure control behavior when a subcooled axial mixing jet is used to thermally destratify and cool the bulk liquid. For fast jet speeds, the multizone model does a reasonably predict the pressure collapse behavior. Comparisons were also made between the data and a homogeneous thermodynamic model. These comparisons highlight the deficiencies of the homogeneous modeling approach.

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References

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Figures

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Fig. 1

Mesh description with relevant zonal transfer terms

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Fig. 2

Effect of tank wall in homogeneous model (Case 12)

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Fig. 3

Effect of heat exchange with the ambient environment (Case 12)

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Fig. 4

Wall temperature contours during self-pressurization (Case 12) (time = 1800 s)

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Fig. 5

Wall temperature contours during self-pressurization (Case 12) (time = 7200 s)

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Fig. 6

Wall temperature contours during subcooled mixing (Case 12) (elapsed time after activating jet = 2700 s)

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Fig. 7

Wall temperature contours during subcooled mixing (Case 12) (elapsed time after activating jet = 5400 s)

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Fig. 8

Comparison of zonal pressure prediction with experimental data (Case 12)

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Fig. 9

Comparison of zonal temperature prediction with experimental data (Case 12)

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Fig. 10

Comparisons when the tank is 26.5% full and a 2 W heat load is applied. (The jet speed is 0.241 m/s and the jet temperature is (a) 290.7 K (Case 3) and (b) 293.2 K (Case 4).)

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Fig. 11

Comparisons when the tank is 26.5% full and a 1 W heat load is applied. (The jet speed is 0.241 m/s and the jet temperature is 293.2 K (Case 10).)

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Fig. 12

Comparisons when the tank is 73.5% full and a 2 W heat load is applied. (The jet speed is 0.241 m/s and the jet temperature is 293.2 K (Case 13).)

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Fig. 13

Comparisons when the tank is 26.5% full and a 2 W heat load is applied (The jet speed is 0.114 m/s and the jet temperature is 293.2 K (Case 7))

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