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Universal approach to predicting saturated flow boiling heat transfer in mini/micro-channels – Part II. Two-phase heat transfer coefficient

Kim, Sung-Min ; Mudawar, Issam

International journal of heat and mass transfer, 2013-09, Vol.64, p.1239-1256 [Periódico revisado por pares]

Elsevier Ltd

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  • Título:
    Universal approach to predicting saturated flow boiling heat transfer in mini/micro-channels – Part II. Two-phase heat transfer coefficient
  • Autor: Kim, Sung-Min ; Mudawar, Issam
  • Assuntos: Boiling ; Correlation ; Dryout incipience ; Flow boiling ; Fluid dynamics ; Fluid flow ; Heat transfer coefficient ; Heat transfer coefficients ; Micro-channel ; Mini ; Mini-channel ; Working fluids
  • É parte de: International journal of heat and mass transfer, 2013-09, Vol.64, p.1239-1256
  • Notas: ObjectType-Article-2
    SourceType-Scholarly Journals-1
    ObjectType-Feature-1
    content type line 23
  • Descrição: This second part of a two-part study examines the prediction of saturated flow boiling heat transfer in mini/micro-channels. The first part culminated in a technique for determining the dryout incipience quality corresponding to substantial deterioration in the heat transfer coefficient. In this part, a consolidated database for flow boiling in mini/micro-channels is amassed from 31 sources, of which 10,805 data points are designated as pre-dryout. The pre-dryout database consists of 18 working fluids, hydraulic diameters of 0.19–6.5mm, mass velocities of 19–1608kg/m2s, liquid-only Reynolds numbers of 57–49,820, qualities of 0–1, and reduced pressures of 0.005–0.69. The pre-dryout database is used to evaluate prior correlations that have been recommended for both macro-channels and mini/micro-channels. A few of these correlations are shown to provide fair overall performance, but their accuracy is compromised against specific portions of the database, especially high pressures and very small diameters. A new generalized correlation is constructed by superpositioning the contributions of nucleate boiling and convective boiling. This correlation is shown to provide very good predictions against the entire pre-dryout database, evidenced by an overall MAE of 20.3%, with 79.9% and 95.5% of the data falling within ±30% and ±50% error bands, respectively. Evenly good predictions are achieved for all working fluids and all ranges of the database parameters.
  • Editor: Elsevier Ltd
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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