IIR document

Assessment of pool boiling correlations using experimental data with refrigerant FK-649.

Number: 0521

Author(s) : T'JOLLYN I., NONNEMAN J., BEYNE W., PAEPE M. de

Summary

Experimental measurements of nucleate pool boiling heat transfer of refrigerant FK-649 are compared to predictions by several correlations from scientific literature. Thirteen frequently used nucleate pool boiling heat transfer correlations were selected. Two of these correlations (the Rohsenow and Pioro correlation) contain constants which need to be fitted to the specific surface-fluid combination. As expected, the correlations which contain fitting constants agree best with the data. The Rohsenow correlation is the preferred correlation, as this correlation only requires one fitting constant (the Pioro correlation requires two) but has the same predictive performance as the Pioro correlation. The normalized mean absolute error when comparing the measurement data to the predictions with the Rohsenow correlation is equal to 7.5%, while the maximal deviation is 25.6%. These values indicate that the fitted Rohsenow correlation matches fairly well with the measurement data. If no data is available to fit the constants, the Labuntsov correlation gave the best results. Remarkably, the normalized mean absolute error of this correlation was also equal to
7.5%, while no fitting parameters were used. The maximal deviation was equal to 29.1%, which is slightly larger than for the fitted Rohsenow correlation. The Labuntsov correlation is thus the best correlation for the prediction of heat transfer rates for pool boiling with FK-649 and works almost as well as the fitted correlations. An important drawback of the Labuntsov correlation is that it does not take into account the effect of boiling surface microgeometry. As such, it should not be used for surfaces with very high or low surface roughness.

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Pages: 9 p.

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Details

  • Original title: Assessment of pool boiling correlations using experimental data with refrigerant FK-649.
  • Record ID : 30031629
  • Languages: English
  • Subject: Technology
  • Source: Proceedings of the 26th IIR International Congress of Refrigeration: Paris , France, August 21-25, 2023.
  • Publication date: 2023/08/21
  • DOI: http://dx.doi.org/10.18462/iir.icr.2023.0521

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