基于多组分DQMOM模型的FCC辅助纳米颗粒混合体系流化研究

doi:10.11949/0438-1157.20241322

化工学报 ›› 2025, Vol. 76 ›› Issue (6): 2616-2625.DOI: 10.11949/0438-1157.20241322

基于多组分DQMOM模型的FCC辅助纳米颗粒混合体系流化研究

陈巨辉¹(), 陈轲¹, 李丹¹, 杨天一¹, ZHURAVKOV Michael²^,³, LAPATSIN Siarhel²^,³, 姜文锐³

^1.哈尔滨理工大学机械动力工程学院，黑龙江哈尔滨 150080
^2.海空装备齿轮传动国际合作黑龙江省重点实验室，黑龙江哈尔滨 150001
^3.哈尔滨工业大学机电工程学院，黑龙江哈尔滨 150001

收稿日期:2024-11-18 修回日期:2025-01-02 出版日期:2025-06-25 发布日期:2025-07-09
通讯作者: 陈巨辉
作者简介:陈巨辉（1982—），女，博士，教授，chenjuhui@hrbust.edu.cn
基金资助:
黑龙江省揭榜挂帅项目(2022ZXJ01A02);黑龙江省揭榜挂帅项目(2022ZXJ01A01)

Fluidization research on the FCC-assisted nanoparticle hybrid system based on the multicomponent DQMOM model

Juhui CHEN¹(), Ke CHEN¹, Dan LI¹, Tianyi YANG¹, Michael ZHURAVKOV²^,³, Siarhel LAPATSIN²^,³, Wenrui JIANG³

^1.School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China
^2.Heilongjiang Provincial Key Laboratory for International Cooperation on Gear Transmission of Maritime and Air Equipment, Harbin 150001, Heilongjiang, China
^3.School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China

Received:2024-11-18 Revised:2025-01-02 Online:2025-06-25 Published:2025-07-09
Contact: Juhui CHEN

摘要/Abstract

摘要：

根据纳米颗粒团聚和破碎的影响因素，基于Gidaspow曳力模型，修正了Re的计算方法，提出多组分DQMOM模型。数值模拟微型流化床内纳米颗粒流动过程及聚团数量与聚团直径的变化，实验值与模拟结果吻合较好，验证了微型流化床模型的准确性和可靠性。对SiO₂和ZnO混合纳米颗粒进行模拟，探究添加大颗粒改善流化效果。结果表明，混合颗粒中流化性能较好的颗粒占比较高时，整体的流化性能会有所提升。当SiO₂颗粒含量较高时，小粒径颗粒改善流化性能的效果更好；当ZnO颗粒含量较高时，大密度颗粒效果更好。当流化性能好的颗粒含量较高时，添加少量大颗粒就可以有效改善混合颗粒的流化性能。

关键词: DQMOM方法, 聚合与破碎, 纳米颗粒, 多组分, 微型流化床

Abstract:

According to the influencing factors of nanoparticle agglomeration and breakage, the calculation method of Re was modified based on the Gidaspow drag model, and a multi-component DQMOM model was proposed. The flow process of nanoparticles in a micro fluidized bed, as well as the changes in the number and diameter of agglomerates, are numerically simulated. The experimental values are in good agreement with the simulation results, verifying the accuracy and reliability of the micro fluidized bed model. The mixed nanoparticles of SiO₂ and ZnO are simulated to explore the effect of adding large particles to improve fluidization. The results show that a higher content of particles with better fluidization performance can enhance the fluidization performance of the mixed particles. When the content of SiO₂ particles is relatively high, smaller-sized particles have a better effect on improving the fluidization performance; when the content of ZnO particles is relatively high, particles with larger density have a better effect. When the content of particles with good fluidization performance is relatively high, adding a small amount of large particles can effectively improve the fluidization performance of the mixed particles.

Key words: DQMOM method, coalescence and fragmentation, nanoparticles, multi-component, micro fluidized bed

中图分类号:

TK 229

陈巨辉, 陈轲, 李丹, 杨天一, ZHURAVKOV Michael, LAPATSIN Siarhel, 姜文锐. 基于多组分DQMOM模型的FCC辅助纳米颗粒混合体系流化研究[J]. 化工学报, 2025, 76(6): 2616-2625.

Juhui CHEN, Ke CHEN, Dan LI, Tianyi YANG, Michael ZHURAVKOV, Siarhel LAPATSIN, Wenrui JIANG. Fluidization research on the FCC-assisted nanoparticle hybrid system based on the multicomponent DQMOM model[J]. CIESC Journal, 2025, 76(6): 2616-2625.

图/表 9

图1 流化床结构示意图

Fig.1 Structure scheme of fluidized bed

表1 模拟参数

Table 1 Parameters used in the simulation

参数	实验值	模拟值
初始床高/ mm	30	30
气体密度/(kg/m³)	1.225	1.225
气体黏度/(Pa·s)	—	1.7894×10^-5
弹性恢复系数	—	0.5
气体入口速度/(cm/s)	8	8
温度/K	298.15	298.15

表2 不同颗粒参数

Table 2 Particle parameter

颗粒	粒径/μm	密度/(kg/m³)
SiO₂	0.03	2560
ZnO	0.02	5600
FCC-1	130	1470
FCC-2	150	1020
FCC-3	190	990

表3 网格无关性检验

Table 3 Grid independence test

网格数量/个	35 mm床高处颗粒体积分数	相对误差/%
1000	0.410
2000	0.389	5.40
4000	0.374	4.01
8000	0.372	0.53
16000	0.371	0.27

图2 不同掺混比SiO2和ZnO混合颗粒床层压降曲线

Fig.2 Pressure drop curves of mixed particle beds with different blending ratios of SiO2 and ZnO

图3 添加FCC颗粒后床层压降曲线

Fig.3 Pressure drop curve of bed after adding FCC particles

图4 聚团粒径频率分布

Fig.4 Size distribution of agglomerates of mixed nanoparticles

图5 不同FCC添加比床层压降曲线

Fig.5 Pressure drop curve of bed under different FCC addition ratio

图6 不同FCC添加比聚团粒径频率分布

Fig.6 Size distribution of agglomerates under different FCC addition ratio

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基于多组分DQMOM模型的FCC辅助纳米颗粒混合体系流化研究

Fluidization research on the FCC-assisted nanoparticle hybrid system based on the multicomponent DQMOM model

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