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Nanoemulsion prepared by homogenizer:The CFD model research
Journal of Food Engineering ( IF 5.5 ) Pub Date : 2019-01-01 , DOI: 10.1016/j.jfoodeng.2018.08.014
Bo Jiang , Yanbin Shi , Guimei Lin , Deyin Kong , Jian Du

Abstract Two CFD models A and B were developed based on APV high-pressure homogenizer and it was determined that the mathematical model and analysis method of B were more consistent with the actual homogenization process. The internal flow field of the high-pressure micro-jet homogenizer was simulated using Fluent software. The homogenization pressure, ratio of oil to water, and temperature were investigated. The optimal parameter combination obtained from numerical simulation of orthogonal experiment was 20 °C, 70 MPa, and 1:12. APV high-pressure homogenizer orthogonal experiment was conducted and the optimal experimental parameter combination obtained was 50 °C, 70 MPa, and 1:15. The two groups of optimal parameters were used in the homogeneous experiments. TEM images were used for comparative analysis of the particle size,and the particle size obtained by numerical simulation was slightly larger. A comparison of experimental and numerical simulation results indicate that the single factor experiment and the orthogonal experiment were not entirely chime. The reason for the discrepancy is because the emulsifier was added in the homogeneous experiment such that there were more flow field variation factors in the homogenization process and the numerical process did not define all relevant conditions. However, the highly similar development trend verifies the effectiveness of the B model, which can provide an important reference in the development and use of homogenizers.

中文翻译:

均质机制备纳米乳:CFD模型研究

摘要 基于APV高压均质机开发了两种CFD模型A和B,确定B的数学模型和分析方法更符合实际均质过程。使用Fluent软件模拟高压微射流均质机内部流场。研究了均质压力、油水比和温度。正交试验数值模拟得到的最佳参数组合为20℃、70MPa、1:12。进行了APV高压均质机正交实验,得到的最佳实验参数组合为50℃、70MPa、1:15。两组最优参数用于均质实验。采用TEM图像对粒径进行对比分析,数值模拟得到的粒径稍大。实验和数值模拟结果的比较表明,单因素实验和正交实验并不完全一致。产生差异的原因是均质实验中加入了乳化剂,使得均质过程中流场变化因素较多,而数值过程并没有定义所有相关条件。但高度相似的发展趋势验证了B模型的有效性,可为均质机的开发和使用提供重要参考。实验和数值模拟结果的比较表明,单因素实验和正交实验并不完全一致。产生差异的原因是均质实验中加入了乳化剂,使得均质过程中流场变化因素较多,而数值过程并没有定义所有相关条件。但高度相似的发展趋势验证了B模型的有效性,可为均质机的开发和使用提供重要参考。实验和数值模拟结果的比较表明,单因素实验和正交实验并不完全一致。产生差异的原因是均质实验中加入了乳化剂,使得均质过程中流场变化因素较多,而数值过程并没有定义所有相关条件。但高度相似的发展趋势验证了B模型的有效性,可为均质机的开发和使用提供重要参考。产生差异的原因是均质实验中加入了乳化剂,使得均质过程中流场变化因素较多,而数值过程并没有定义所有相关条件。但高度相似的发展趋势验证了B模型的有效性,可为均质机的开发和使用提供重要参考。产生差异的原因是均质实验中加入了乳化剂,使得均质过程中流场变化因素较多,而数值过程并没有定义所有相关条件。但高度相似的发展趋势验证了B模型的有效性,可为均质机的开发和使用提供重要参考。
更新日期:2019-01-01
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