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Research Papers: Evaporation, Boiling, and Condensation

Development of New Critical Heat Flux Correlation for Microchannel Using Energy-Based Bubble Growth Model

[+] Author and Article Information
Ritunesh Kumar

Mechanical Engineering Department,
Indian Institute of Technology Indore,
Indore 453446, Madhya Pradesh, India
e-mail: ritunesh@iiti.ac.in

Sambhaji T. Kadam

Mechanical Engineering Department,
Indian Institute of Technology Indore,
Indore 453446, Madhya Pradesh, India

1Corresponding author.

Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF HEAT TRANSFER. Manuscript received January 21, 2015; final manuscript received November 2, 2015; published online March 22, 2016. Assoc. Editor: Amitabh Narain.

J. Heat Transfer 138(6), 061502 (Mar 22, 2016) (11 pages) Paper No: HT-15-1054; doi: 10.1115/1.4032148 History: Received January 21, 2015; Revised November 02, 2015

Critical heat flux (CHF) is a key design consideration for the systems involving heat dissipation through boiling application. It dictates the maximum limit of performance of heat transfer systems. Abrupt and substantial decrease in heat transfer coefficient is an indirect indication of occurrence of the CHF, which may cause complete burnout of heat transfer surface. Unlike conventional channels, CHF correlations for microchannels are limited and associated with significant variations. In the present paper, effort has been made to develop new CHF models applicable to a frequently occurring scenario of flow boiling in microchannels. The approach combines nondimensional analysis and an energy analysis based bubble growth model at an arbitrary nucleation site. Two separate CHF correlations for refrigerants and water have been developed following a semi-empirical approach. The proposed correlations show good agreement with available experimental data. The mean errors for the refrigerant and water cases are, respectively, found to be 21% and 27% for seven and six relevant datasets. Around 77% data of the refrigerant and 60% data of water are predicted within error band of ±30%. It is also found that influence of a certain energy ratio term (gravity to surface tension, denoted as πE4) is negligible for examined water CHF conditions.

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Figures

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Fig. 1

States of bubble confinement in different types of cross sections: (a) partial confinement and (b) full confinement

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Fig. 2

Microchannel geometry showing base and wall CHF

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Fig. 3

Comparison of proposed model with earlier models using experimental data of Miner [32]

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Fig. 4

Comparison of proposed model with earlier models using experimental data of Kosar and Peles [37]

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Fig. 5

Comparison of proposed model with earlier models using experimental data of Kuan [38]

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Fig. 6

Comparison of proposed model with earlier models using experimental data of Agostini et al. [39]

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Fig. 7

Comparison of proposed model with earlier models using experimental data of Park [40]

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Fig. 8

Comparison of proposed model with earlier models using experimental data of Mauro et al. [41]

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Fig. 9

Comparison of proposed model with earlier models using experimental data of Basu [42]

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Fig. 10

Comparison of the experimental CHF and predicted CHF data for refrigerants

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Fig. 11

Comparison of proposed model with earlier models using experimental data of Qu and Mudawar [25]

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Fig. 12

Comparison of proposed model with earlier models using experimental data of Kosar et al. [30]

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Fig. 13

Comparison of proposed model with earlier models using experimental data of Kuan [38]

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Fig. 14

Comparison of proposed model with earlier models using experimental data of Roday [43]

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Fig. 15

Comparison of proposed model with earlier models using experimental data of Hsieh and Lin [44]

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Fig. 16

Comparison of proposed model with earlier models using experimental data of Roach et al. [45]

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Fig. 17

Comparison of the experimental CHF and predicted CHF data for water

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