Evaporation dynamics of microbubbles

Evaporation dynamics of microbubbles
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DOI:
10.1016/j.ces.2013.05.026
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发表时间:
2013-09-20
影响因子:
4.7
通讯作者:
Bandulasena, H. C. Hemaka
Bandulasena, H. C. Hemaka
中科院分区:
工程技术2区
文献类型:
--
作者:
Zimmerman, William B.;Al-Mashhadani, Mahmood K. H.;Bandulasena, H. C. Hemaka

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Until recently, generating clouds of microbubbles was a relatively expensive propositson, with the smallest bubbles requiring high energy density from either the saturation nucleation mechanism or Venturi effect. Due to the expense of processing with microbubbles, exploration of the acceleration effects of microbubbles for physico-chemical processes are largely unstudied, particularly those that are combined effects. In this paper, the trade-off between heat transfer and evaporation on the microbubble interface are explored, largely by computational modelling but supported by some experimental evidence. The hypothesis is that both processes are inherently transient, but that during short residence Limes, vaporization is favoured, while at longer residence Limes, sensible heat transfer dominates and results in re condensation of the initially vaporized liquid. The computational model address how thin a layer thickness will result in the maximum absolute vaporization, after which sensible heat transfer condenses the vapour as the bubble cools. This maximum vaporization layer thickness is estimated to be a few hundred microns, on the order of a few microbubble diameters at most If the maximum vaporization estimate and the contact time necessary to achieve it are accurately estimated, these are engineering design features needed to design a vaporizing system to achieve maximum removal of vapour with minimum heat transfer. The modelling work presented here should be considered in light of the humidification experiments also conducted which showed the exit air at 100% saturation, but increasing gas temperature with decreasing layer height, and decreasing water temperature with decreasing layer height, all of which are consistent with the predictions of the computational model. (C) 2013 Elsevier. Published by Elsevier Ltd. All rights reserved