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Predicting Droplet Size Distributions of Emulsions Produced in a Sonolator
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2020-03-25 , DOI: 10.1021/acs.iecr.9b05596
Thomas P. John 1 , Sergio Carrillo De Hert 1 , Zhen Ren 1 , Adam Kowalski 2 , Thomas L. Rodgers 1
Affiliation  

Producing emulsions continuously compared to in batch production has many benefits, such as increased speed and agility of production. A Sonolator, a device similar to a high-pressure homogenizer, is capable of this continuous production. In this paper, the size of droplets produced during emulsification has been investigated for various orifice pressure drops, dispersed phase viscosities, and orifice sizes. The phase fraction of the dispersed phase, up to 10% v/v, and the presence of a blade after the orifice were found not to affect the droplet size distribution (DSD). The mode droplet size decreased with increasing pressure drop and the DSDs were mostly bimodal, due to the formation of satellite droplets, meaning that d3,2 is a poor benchmarking parameter. We propose a model capable of predicting the full DSD of the emulsion. This reveals key parameters for scale-up of production using Sonolators and can help to improve product quality and process efficiency.

中文翻译:

预测超声发生器中产生的乳液的液滴尺寸分布

与分批生产相比,连续生产乳液具有许多好处,例如提高了生产速度和敏捷性。超声波发生器(类似于高压均质机的设备)能够连续生产。在本文中,已针对各种孔口压降,分散相粘度和孔口尺寸研究了乳化过程中产生的液滴尺寸。发现分散相的相分数高达10%v / v,并且在孔口后存在叶片不会影响液滴尺寸分布(DSD)。模式滴大小随压降的增加而减小,并且由于卫星滴的形成,DSD大多为双峰的,这意味着d 3,2是较差的基准测试参数。我们提出了一种能够预测乳液完整DSD的模型。这揭示了使用Sonolators扩大生产规模的关键参数,可以帮助提高产品质量和工艺效率。
更新日期:2020-03-26
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