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Generalized breakup and coalescence models for population balance modelling of liquid-liquid flows

机译:液-液流动人口平衡模型的广义分解与合并模型

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摘要

Population balance framework is a useful tool that can be used to describe size distributionof droplets in a liquid-liquid dispersion. Breakup and coalescence models provide closures formathematical formulation of the population balance equation (PBE) and are crucial for accu-rate predictions of the mean droplet size in the ow. Number of closures for both breakup andcoalescence can be identi ed in the literature and most of them need an estimation of modelparameters that can di er even by several orders of magnitude on a case to case basis. In thispaper we review the fundamental assumptions and derivation of breakup and coalescence ker-nels. Subsequently, we rigorously apply two-stage optimization over several independent sets ofexperiments in order to identify model parameters. Two-stage identi cation allows us to estab-lish new parametric dependencies valid for experiments that vary over large ranges of importantnon-dimensional groups. This be adopted for optimization of parameters in breakup and co-alescence models over multiple cases and we propose a correlation based on non-dimensionalnumbers that is applicable to number of di erent ows over wide range of Reynolds numbers.
机译:种群平衡框架是一个有用的工具,可用于描述液-液分散体中液滴的尺寸分布。分解和合并模型提供了种群平衡方程(PBE)的闭环格式学公式,对于准确预测流中平均液滴尺寸至关重要。可以在文献中确定用于破裂和聚结的封闭件的数量,并且大多数封闭件需要估计模型参数,这些模型参数可能因情况而异,甚至相差几个数量级。在本文中,我们回顾了基本假设和分解和合并内核的推导。随后,我们对几套独立的实验严格进行了两阶段优化,以识别模型参数。两阶段识别使我们能够建立新的参数依存关系,这些依存关系对于在重要的非维数组的较大范围内变化的实验有效。将其用于优化多种情况下的分解和共同衰变模型中的参数,并且我们提出了基于无量纲数的相关性,该相关性适用于广泛雷诺数上的不同流动数。

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