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Incorporating emulsion drop coalescence into population balance equation models of high pressure homogenization

机译:将乳液滴聚结法纳入高压均质化的总体平衡方程模型中

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Population balance equation (PBE) models of emulsification processes allow the prediction of the drop size distribution, a critical determinant of emulsion properties. While many PBE models that account only for drop breakage have been developed for model emulsion systems with relatively low oil-to-surfactant ratios, industrial practice is to minimize surfactant use to reduce manufacturing costs and establish process conditions under which drop coalescence is appreciable. In this study, we incorporated coalescence into our previously developed breakage-only PBE model of high pressure homogenization to allow the prediction of drop size distributions under high oil-to-surfactant ratios used industrially. Drop breakage under turbulent homogenization conditions was modeled with two distinct breakage rate functions and a distribution function that accounted for the formation of multiple daughter drops. Drop coalescence was incorporated through the addition of two functions for the drop collision rate and the coalescence efficiency of collisions. By utilizing nonlinear optimization to estimate six adjustable parameters in the breakage and coalescence functions from measured drop distributions, the combined breakage-coalescence model was shown to provide superior predictions as compared to the breakage-only model for emulsions with high oil-to-surfactant ratios. Because mechanistic breakage and coalescence functions that included emulsion properties and homogenization conditions were used, the model was able to satisfactorily predict drop size distributions at other surfactant concentrations and operating pressures without re-estimation of the parameters. The model was able to generate acceptable predictions for two other surfactants if the model parameters were re-estimated using data for each surfactant.
机译:乳化过程的种群平衡方程(PBE)模型可以预测液滴大小分布,这是乳液性能的关键决定因素。虽然已经为油/表面活性剂比率较低的模型乳液系统开发了许多只考虑液滴破损的PBE模型,但工业实践是尽量减少表面活性​​剂的使用以降低制造成本并建立可观察到液滴聚结的工艺条件。在这项研究中,我们将聚结纳入了我们先前开发的高压均质化仅破损的PBE模型中,从而可以预测工业上使用的高油/表面活性剂比率下的液滴尺寸分布。用两个不同的破损率函数和一个解释多个子液滴形成的分布函数对湍流均质条件下的液滴破损进行建模。液滴合并通过添加两个函数来合并,以实现液滴碰撞率和碰撞合并效率。通过使用非线性优化从测得的液滴分布估算破损和聚结函数中的六个可调参数,与仅含破损模型的高油-表面活性剂乳液模型相比,组合破损-聚结模型可提供更好的预测。因为使用了包括乳剂性能和均质条件在内的机械破裂和聚结功能,所以该模型能够令人满意地预测在其他表面活性剂浓度和操作压力下的液滴尺寸分布,而无需重新估计参数。如果使用每种表面活性剂的数据重新估算模型参数,则该模型能够针对其他两种表面活性剂生成可接受的预测。

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