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Predicting stochastic features of vapor bubble detachment in flow boiling

✍ Scribed by J.F. Klausner; R. Mei; L.Z. Zeng

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
483 KB
Volume
40
Category
Article
ISSN
0017-9310

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✦ Synopsis

The stochastic features of vapor bubble departure and liβ€’off diameters in forced convection boiling are c, onsidered in terms of probability density functions (pdfs). A mechanistic model is developed for the prediction of these functions. Their prediction requires a vapor bubble detachment model and pdfs of the mean wall superheat and mean liquid velocity. The agreement with horizontal flow boiling vapor bubble departure and lift-off data is very good. To the best of the authors' knowledge, this is the first attempt at developing such a predictive capability. In order for the model to be generally applicable to flow boiling systems, the assumptions used in estimating the mean wall superheat and mean vapor velocity pdfs require further scrutiny.

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## A new model is proposed for the prediction of vapor bubble departure diameters in saturated pool boiling. The model utilizes a force balance which follows a similar form as that used by Klausner et al. (ht. J. Heat Mass Transfir 36, 651-662 (1993)) for flow boiling. The vapor bubble growth rate