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Models of boiling nucleation

Authors: Kant, K. (Keshav);

Models of boiling nucleation

Abstract

Single bubble theoretical models were developed to simulate heterogeneous pool boiling (HPB) of pure liquids on a single site in a natural surface. A dynamic model was developed for bubble nucleation in HPB for predicting the waiting time of a bubble for given boiling conditions. The variation of the surface temperature was incorporated through an additional model proposed for the same. Its application to equilibrium pool boiling of pure components and binary mixtures predicted waiting times in agreement with the experimental values obtained here. A dynamic single bubble departure model considering all the forces acting on a bubble was developed to predict the departure diameter and the wall superheat required for continuously forming bubbles (CFB). The model was developed for 3 temperature distributions (TD) in the thermal layer. It was also applied to binary mixtures and the predictions were found to be in agreement with previously available data. For Ja(,m) (LESSTHEQ) 15, bubble departure is controlled by the surface tension and buoyancy forces while for Ja(,m) > 15, liquid inertia also becomes important. The static single bubble nucleation and departure models of Howell and Siegel were extended. The equations were developed for 3 TD in the thermal layer. The former predicted the wall superheat required for nucleating a bubble on the site, while the latter predicted the departure diameter and the wall superheat for the CFB.

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Country
Canada
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Keywords

Nucleate boiling

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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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