化工进展 ›› 2019, Vol. 38 ›› Issue (02): 772-778.DOI: 10.16085/j.issn.1000-6613.2018-0752

• 化工过程与装备 • 上一篇    下一篇

甘露醇喷雾干燥过程中液滴粒度分布变化的群体粒数衡算模拟和实验研究

吕凤1,2(),张扬1,马才云2,王学重1,2()   

  1. 1. 华南理工大学化学与化工学院,广东 广州 510046
    2. 利兹大学化学和过程工程学院,英国 利兹 LS2 9JT
  • 收稿日期:2018-04-12 修回日期:2018-06-05 出版日期:2019-02-05 发布日期:2019-02-05
  • 通讯作者: 王学重
  • 作者简介:<named-content content-type="corresp-name">吕凤</named-content>(1986—),女,博士研究生,研究方向为喷雾干燥过程模拟。E-mail:<email>celvfeng@mail.scut.edu.cn</email>。|王学重,教授,博士生导师,研究方向为过程控制和三维成像。E-mial:<email>xzwang@leeds.ac.uk</email>。
  • 基金资助:
    国家自然科学基金(91434126, 61633006);广东省自然科学基金(2014A030313228, 2017A030310262);广东省科技应用项目(2015B020232007);中央高校基本科研业务费(2017MS092)

Simulation and experimental study on the evolution of droplet size distribution during spray drying of mannitol

Feng LÜ1,2(),Yang ZHANG1,Caiyun MA2,Xuezhong WANG1,2()   

  1. 1. School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China
    2. School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, U. K
  • Received:2018-04-12 Revised:2018-06-05 Online:2019-02-05 Published:2019-02-05
  • Contact: Xuezhong WANG

摘要:

利用群体粒数衡算(population balance,PB)计算机模拟和实验研究了甘露醇水溶液的喷雾干燥过程中液滴的粒度分布的变化规律。液滴干燥过程中的颗粒粒度的萎缩速率,在群体粒数衡算模型中描述为液滴的逆(或负)生长项,通过单个液滴反应动力学方法(reaction engineering approach,REA)获得。基于单个液滴干燥的反应工程方法模型REA和群体粒数衡算模型PB集成建立了PBREA模型。PBREA 模型的求解是通过高分辨率数值方法。本文模拟研究了不同工况下,不同粒径液滴的干燥时间、液滴平均含湿量以及液滴粒度分布随时间的变化。结果显示,液滴粒径越大,干燥时间越长,模型预测的颗粒平均粒径为实验值的1.0~1.5倍,粒度分布跨度是实验值的0.61~0.89倍。模拟误差主要来源于液滴及颗粒粒径分布统计精度、单个静止液滴与群体运动液滴干燥的差异、热导率及扩散系数是经验值3个方面。在使用Buchi 290 小型喷雾干燥仪进行的实验中,使用了图像采集和分析方法得到了液滴及颗粒的数密度分布,并和模拟结果做了对比。结果表明该模型可以有效地预测喷雾干燥过程中干燥颗粒的平均粒度及分布跨度。

关键词: 干燥, 粒度分布, 数学模拟, 群体粒数衡算模型, 反应工程方法

Abstract:

Computer simulation and experimental study were carried out on the evolution of droplet size distribution during spray drying of mannitol dissolved in water. The shrink rate of the diameter of a droplet during spray drying was treated as a negative growth rate in the population balance (PB) model which was obtained using the reaction engineering approach (REA).The integration of PB and REA yielded the PBREA model, which was solved using a high-resolution numerical method. The drying time of droplets of varied sizes, the change of the mean moisture content of droplets and the droplet size distribution were simulated under different spray drying conditions. The results showed that the drying time increased with the increase of droplet diameter. The ratio of the predicted and measured particle mean diameters was between 1.0 to 1.5, and the span was from 0.61 to 0.89. The errors were analyzed and attributed to three main factors: error due to the statistical analysis of droplet and particle sizes, the difference in drying a single static droplet and a group of droplets in motion, and the empirical thermal conductivity and diffusion coefficient values. Images were collected and analyzed to obtain droplet and particle size distributions with the Buchi 290 spray dryer. The simulated and experimental results showed that the PBREA model could effectively predict the mean diameter and span of particles during spray drying process.

Key words: drying, particle size distribution, mathematical modelling, population balance, reaction engineering approach

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