Volume 93
Ma, J., Wang, W., Huang, W., Liu, W., Yao, X., Li, T., & Ren, B. (2024). Numerically investigation of particle distribution in industrial-scale DTB crystallizer based on CFD modelling. Particuology, 93, 186-202. https://doi.org/10.1016/j.partic.2024.06.006
Numerically investigation of particle distribution in industrial-scale DTB crystallizer based on CFD modelling
Jinju Ma a b, Weiyu Wang a, Wei Huang c, Wei Liu a d, Xinding Yao a e, Tao Li b *, Baozeng Ren b *
a School of Environment Engineering, Yellow River Conservancy Technical Institute, Kaifeng, 475004, China
b School of Chemical Engineering, Zhengzhou University, Zhengzhou, 450001, China
c School of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan, 430081, China
d Kaifeng Engineering Research Center for Municipal Wastewater Treatment, Kaifeng, 475004, China
e Henan Engineering Technology Research Center of Green Coating Materials, 475004, Kaifeng, China
10.1016/j.partic.2024.06.006
Volume 93,
October 2024,
Pages 186-202
Received 5 February 2024, Revised 26 May 2024, Accepted 5 June 2024, Available online 28 June 2024, Version of Record 11 July 2024.
E-mail:
litao912@zzu.edu.cn; renbz@zzu.edu.cn
Highlights
• The Euler-Eulerian and Euler-Lagrangian two-fluid model were used to study the hydrodynamic behavior of DTB crystallizer.
• The theory of particle dynamics was introduced to focus on the distribution of crystals in the DTB crystallizer.
• Leading to an improved prediction of crystal growth , the growth kinetic model was introduced by loading the UDF program.
• Pure liquid phase methanol was taken to simulate the temperature change of the selected DTB during the cooling process.
Abstract
The suspension state of crystals in the crystallizer is one of the important indicators for evaluating the adaptability of the crystallizer. This study adopted the Euler-Eulerian two-fluid model to simulate and analyze the fluid motion of solid-liquid two-phase flow in the industrial-grade DTB crystallization kettle, as well as the phase suspension distribution of crystal particles. The main influencing factors investigated are: the heat transfer effect, the height of the bottom of the crystallizer, the number and position of the stirring paddle, crystal size and crystal volume fraction. Based on the research of Euler-Eulerian method to simulate fluids, the Euler-Lagrangian method was further used to simulate the motion state of particle phases with different particle sizes in the crystallizer. It was found that the designed DTB crystallizer has good recycle mixing effect. The particles can be mixed evenly during the operation, which can fully realize the solid-liquid mixing and suspension effect of the drug under study.
Graphical abstract
Keywords
Draff tube baffle (DTB) crystallizer; Two-fluid model; Numerical simulation; Turbulence modelling
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