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Experimental study and comparison with predictive methods for flow boiling heat transfer coefficient of HFE7000

•Detailed boiling heat transfer coefficient data for HFE7000 at saturation temperature ranging from 30 to 54 °C.•Experimental procedure for measuring heat transfer coefficient during flow boiling.•Comparison with various heat transfer correlations from literature.•Own model for heat transfer coeffic...

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Bibliographic Details
Published in:International journal of heat and mass transfer 2019-10, Vol.142, p.118307, Article 118307
Main Authors: Jakubowska, Blanka, Mikielewicz, Dariusz, Klugmann, Michał
Format: Article
Language:English
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Summary:•Detailed boiling heat transfer coefficient data for HFE7000 at saturation temperature ranging from 30 to 54 °C.•Experimental procedure for measuring heat transfer coefficient during flow boiling.•Comparison with various heat transfer correlations from literature.•Own model for heat transfer coefficient during flow boiling. This article describes an experimental study of flow boiling of HFE7000 inside a smooth vertical channel. The investigation has been carried out in a circular stainless-steel tube with an inner diameter of 2.3 mm. The data have been collected for the applied heat fluxes q ranging from 61 to 205 kW/m2, the mass flux G ranging from 214 to 1006 kg/(m2 s), the saturation temperature Tsat ranging from 30 to 54 °C and the full range of vapour quality x. The collected experimental data base amounted to 1217 experimental points. The acquired results indicated that heat flux and saturation temperature have the most significant impact on the heat transfer coefficient. The local heat transfer coefficient increases with both the heat flux and saturation temperature, while the mass flux did not exhibit a significant effect on the variation of the heat transfer coefficient. The present experimental data have been compared with various heat transfer correlations from literature including the recently enhanced in-house model. The results of comparisons indicated the superiority of the in-house model over other correlations.
ISSN:0017-9310
1879-2189
DOI:10.1016/j.ijheatmasstransfer.2019.06.063