A signal analysis method used for condensing refrigerants is presented, which resulted in a modification of the prediction method for heat transfer based on probabilistic time-fractional results. An objective visual method for discrimination of flow patterns and determining probabilistic time-fractions in intermittent flow was developed. The frequency domain was identified as the main candidate for discrimination of sub-regimes present in intermittent flow. Experimental work was conducted using refrigerants R-22 and R-134a, at an average saturation temperature of 40°C, with mass fluxes ranging from 200–700 kg/m2s, and with test section inlet vapour qualities ranging from 0.65 down to 0.10. These test conditions mostly represented intermittent flow. The modified correlation predicted the experimental data with a mean absolute deviation of 10%.
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Probabilistic Flow-Pattern-Based Heat Transfer for Condensing Intermittent Flow in Smooth Horizontal Tubes
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Meyer, JP, Christians, M, Liebenberg, L, & van Rooyen, E. "Probabilistic Flow-Pattern-Based Heat Transfer for Condensing Intermittent Flow in Smooth Horizontal Tubes." Proceedings of the 2010 14th International Heat Transfer Conference. 2010 14th International Heat Transfer Conference, Volume 2. Washington, DC, USA. August 8–13, 2010. pp. 115-124. ASME. https://doi.org/10.1115/IHTC14-22336
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