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• W2001337822 abstract "Abstract In the churn-turbulent bubbly flow regime with highly nonuniform bubble size distributions, bubble breakage and coalescence are important processes because they govern the bubble size distribution and consequently directly affect the interfacial mass, momentum, and heat transfer fluxes through the renewal bubble surfaces. At present, accurate prediction of bubble size distributions of dispersed gas–liquid flows by use of the population balance (PB) equation is a difficult task. The modeling of bubble breakup and coalescence rates is very complex and is based on the knowledge of collision and breakup frequencies, breakage daughter size distributions, and probability of coalescence. In this work, we focus on the coalescence phenomenon. The coalescence models are still on an empirical level and the mechanisms are not fully understood. This motivates the analysis of the suitability of the coalescence closures for the prediction of experimental data obtained from coalescence dominated gas–liquid flows. For this task, a cross-sectional averaged combined multifluid-PB model is adopted. Based on different theories for the coalescence efficiency, the simulation results show a similar trend in the prediction of the experimental data. Good prediction of the Sauter mean diameter is achieved although the shape of the bubble size distribution is not completely reproduced. The second aim of this work is to review the PB framework. Here, focus is placed on the coalescence term and the combined multifluid-PB model based on kinetic theory approach. Keywords: Coalescence mechanismscoalescence modelsfluid particlespopulation balance equation Notes Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/ldis." @default.
• W2001337822 created "2016-06-24" @default.
• W2001337822 creator A5059394394 @default.
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• W2001337822 date "2014-07-21" @default.
• W2001337822 modified "2023-10-06" @default.
• W2001337822 title "Bubble Coalescence Modeling in the Population Balance Framework" @default.
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• W2001337822 doi "https://doi.org/10.1080/01932691.2013.866902" @default.
• W2001337822 hasPublicationYear "2014" @default.
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