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Research Papers

Modeling Subcooled Flow Film Boiling in a Vertical Tube

[+] Author and Article Information
Meamer El Nakla1

Department of Mechanical Engineering, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabiaelnakla@kfupm.edu.sa

D. C. Groeneveld

Thermalhydraulics Branch, Atomic Energy of Canada Limited, Chalk River, ON, K0J 1J0, Canada; Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, K1N 6N5, Canada

Shui-Chih Cheng

Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, K1N 6N5, Canada

This is not true if heat flux is nonuniform and part of the wall is unheated.

The LUT was developed for fully developed film boiling conditions and therefore ignores entrance effects or developing film boiling effects; therefore, its agreement with the data at locations just downstream is generally not satisfactory.

1

Corresponding author.

J. Thermal Sci. Eng. Appl 2(2), 021002 (Oct 21, 2010) (13 pages) doi:10.1115/1.4002526 History: Received May 03, 2010; Revised July 13, 2010; Published October 21, 2010; Online October 21, 2010

A two-fluid one-dimensional model has been developed to predict the wall temperature of an internally heated tube during inverted annular flow film boiling (IAFB). The model is derived using basic conservation equations of mass, momentum, and energy. To simplify the derivation of the constitutive heat transfer relations, flow between two parallel plates is assumed. The model features shear stress and interfacial relations that make it accurately predict the parametric effects and heat transfer characteristics of IAFB over a wide range of flow conditions. The model predicts wall temperatures of R-134a-cooled tubes with an average error of 1.21% and a rms error of 6.37%. This corresponds to average and rms errors in predicted heat transfer coefficients of 1.33% and 10.07%, respectively. Using water data, the model predicts wall temperatures with an average error of 1.76% and a rms error of 7.78%, which corresponds to average and rms errors in predicted heat transfer coefficients of 4.16% and 15.06%, respectively.

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Copyright © 2010 by American Society of Mechanical Engineers
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References

Figures

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Figure 1

Control volume used for model derivation

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Figure 2

Schematic of velocity distribution used for deriving shear stress relations

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Figure 3

Model prediction of inlet subcooling effect on heat transfer coefficient

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Figure 4

Model prediction of pressure effect on heat transfer coefficient

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Figure 5

Model prediction of mass flux effect on heat transfer coefficient

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Figure 6

Model prediction of heat flux effect on heat transfer coefficient

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Figure 7

Model prediction of diameter effect on heat transfer coefficient by the new model

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Figure 8

Predicting actual quality for different flow parameters

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Figure 9

Comparison between predicted and measured void fraction

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Figure 10

Model prediction of vapor, liquid, and interfacial velocities

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Figure 11

Sensitivity of the model to interfacial velocity

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Figure 12

Sensitivity of the model to the ratio (hvi/hwv)

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Figure 13

Comparison of the model predictions to other models using R-134a data

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Figure 14

Comparison of the model predictions to other models using water data

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