Mathematical Model for Agglomeration Process of Milk Powder

Q4 Chemical Engineering ASEAN Journal of Chemical Engineering Pub Date : 2020-12-31 DOI:10.22146/ajche.55479
Sunatra Auamwong, T. Srinophakun
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引用次数: 1

Abstract

Stickiness during milk spray drying can lead to the agglomeration of milk powder and damage the processing equipment. A mathematical model can achieve a better understanding. In this work, the Distinct Element Method (DEM) simultaneously with Computational Fluid Dynamics (CFD) was used to describe skim milk powder's agglomeration process. The study comprised 2 parts: surface stickiness mechanism and agglomeration of sticky powder. Start with particle formation, the droplet size, and the number of particles produced can be calculated and used to predict the droplet's surface stickiness. These reveal the effect of moisture content, droplet surface temperature, droplet size after drying, and sticky point temperature. Then, the agglomeration of sticky powder inside the spray chamber was predicted. Besides, the particle and fluid motion inside the spray chamber were also determined. Then, the particle size distribution after agglomeration was obtained. Furthermore, parts of the model were validated with the experimental data of Williams et al. (2009), which has three different droplet sizes, 56.8, 78.28, and 108.5 micrometers. The results gave the same trend as the sticky surface of the powder. The droplet's moisture contents rapidly decreased in the first period and fell to a critical value, which was 0.044, 0.048, and 0.061 kg water/kg solid, respectively. The periods of a sticky surface were around 0.033, 0.03, and 0.024 seconds. The largest droplet size was selected for the study of the agglomeration process. This model could predict the agglomeration of sticky powder since there were 216 from 900 droplets agglomerated. Moreover, the largest droplet size was 100.6 micrometers, and the most popular was 79.9 micrometers, which were the size of the un-agglomerated powder.
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奶粉结块过程的数学模型
牛奶喷雾干燥过程中的粘性会导致奶粉结块并损坏加工设备。数学模型可以更好地理解。本文采用离散元法(DEM)和计算流体力学(CFD)相结合的方法来描述脱脂奶粉的团聚过程。本研究分为两个部分:表面粘性机理和粘性粉末的团聚。从颗粒的形成开始,可以计算液滴的大小和产生的颗粒数量,并用于预测液滴的表面粘性。这些揭示了水分含量、液滴表面温度、干燥后液滴尺寸和粘点温度的影响。然后,对喷雾室内粘性粉末的团聚进行了预测。此外,还测定了喷雾室内颗粒和流体的运动。然后,获得团聚后的颗粒尺寸分布。此外,Williams等人(2009)的实验数据验证了模型的部分内容,该数据具有56.8、78.28和108.5微米三种不同的液滴尺寸。该结果给出了与粉末的粘性表面相同的趋势。液滴的水分含量在第一阶段迅速下降,并降至临界值,分别为0.044、0.048和0.061千克水/千克固体。粘性表面的周期约为0.033、0.03和0.024秒。为了研究凝聚过程,选择了最大的液滴尺寸。该模型可以预测粘性粉末的团聚,因为900个液滴中有216个液滴团聚。此外,最大的液滴尺寸为100.6微米,最常见的是79.9微米,这是未团聚粉末的尺寸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ASEAN Journal of Chemical Engineering
ASEAN Journal of Chemical Engineering Chemical Engineering-Chemical Engineering (all)
CiteScore
1.00
自引率
0.00%
发文量
15
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