Numerical simulation of mixing performance of composite phyllotaxy microfluidic channel

被引:0
作者
Zhang, Weiye [1 ,2 ]
Zhu, Xiaowu [1 ,3 ]
Luo, Yonghao [1 ,2 ]
Wang, Zhi [2 ]
机构
[1] School of Materials Science and Engineering, Shenyang University of Technology, Liaoning, Shenyang
[2] Institute of New Materials, Guangdong Academy of Sciences, National Engineering Laboratory of Modern Materials Surface Engineering Technology, Guangdong Provincial Key Laboratory of Modern Surface Engineering Technology, Guangdong, Guangzhou
[3] School of Mechanical and Electrical Engineering, Wenzhou University, Zhejiang, Wenzhou
来源
Huagong Jinzhan/Chemical Industry and Engineering Progress | 2024年 / 43卷
关键词
composite phyllotaxy; flow pattern analysis; micromixing channel; numerical simulation; structure design;
D O I
10.16085/j.issn.1000-6613.2023-1839
中图分类号
学科分类号
摘要
Micromixing technology has a broad application prospect in the fields of microchemistry, biomedicine, and new energy due to its features of small sample size, low consumption, high mixing efficiency, and ease of integration. The micro-mixer design used in current research usually fails to take into account the design complexity and mixing efficiency, and lacks the related mechanism research based on the application-oriented. The use of numerical simulation can refine the mixing process and help to mechanistically analyze the results. In this work, a mutualistic-rotational inwardly oriented composite phyllotaxy microchannel model was developed. Through the simulation results of the flow velocity field, pressure field and particle distribution in the microchannel, the diversion and obstruction effects of the structural elements were analyzed, and the influences of their angle, spacing and circulation density on the fluid flow pattern and mixing effect in the microchannel were discussed. The results showed that the fluid velocity vector played a key role in the flow pattern and mutual diffusion of different fluids, and was the decisive criterion of mixing effect. Among them, the component angle mainly affected the directional difference of the fluid velocity vector, the component spacing determines the degree of fluid-field coupling in neighboring regions of action, and the component circulating density mainly affected the change magnitude in the direction of the fluid velocity vector, it was finally concluded that the mixing effect was able to reach 98% when the angle was 45°, the spacing was 2mm, and the circulation density was 4. © 2024 Chemical Industry Press Co., Ltd.. All rights reserved.
引用
收藏
页码:154 / 165
页数:11
相关论文
共 50 条
[41]   Numerical Simulation of Mixing Performances of a Passive Micromixer with Internal Ribs [J].
Guo, L. ;
Zhang, S. S. ;
Han, K. J. .
6TH INTERNATIONAL SYMPOSIUM ON MULTIPHASE FLOW, HEAT MASS TRANSFER AND ENERGY CONVERSION, 2010, 1207 :1024-1029
[42]   Numerical Simulation of Turbulent Mixing for Dislocated Blades in a Stirred Tank [J].
Shi, Lei ;
Zhou, Shenjie ;
Yang, Fengling ;
Hu, Fanjin .
PROGRESS IN POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2012, 354-355 :559-563
[43]   Numerical Simulation of the Mixing and Flow Characteristics in a Micro Cyclone Combustor [J].
Choi, Byung-Il ;
Han, Yong-Shik ;
Kim, Myung-Bae ;
Hwang, Cheol-Hong ;
Oh, Chang Bo .
TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS B, 2007, 31 (12) :1042-1047
[44]   Numerical Simulation of Optimization of Mixing Tank for Residue Upgrading Reactor [J].
Bao Di ;
Tang Xiaojin ;
Zhu Zhenxing .
ChinaPetroleumProcessing&PetrochemicalTechnology, 2019, 21 (02) :110-117
[45]   Numerical Simulation of Gasoline Blending with Two Different Mixing Systems [J].
Chen, Songying ;
Xie, Fuchao ;
Mao, Junjie .
EQUIPMENT MANUFACTURING TECHNOLOGY AND AUTOMATION, PTS 1-3, 2011, 317-319 :2107-2112
[46]   Numerical simulation of Brownian coagulation under turbulent mixing conditions [J].
M. A. Zatevakhin ;
A. A. Ignatyev ;
V. A. Govorkova .
Izvestiya, Atmospheric and Oceanic Physics, 2015, 51 :148-155
[47]   Numerical simulation of Brownian coagulation under turbulent mixing conditions [J].
Zatevakhin, M. A. ;
Ignatyev, A. A. ;
Govorkova, V. A. .
IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS, 2015, 51 (02) :148-155
[48]   Numerical simulation of homogeneous mixing in T-junction micromixers [J].
Wang J. ;
He C. ;
Wang Z. ;
Zhu C. ;
Ma Y. ;
Fu T. .
Huagong Xuebao/CIESC Journal, 2024, 75 (01) :242-254
[49]   Numerical simulation of particle mixing in single jet fluidized bed [J].
Zhang J. ;
Ji L. ;
Li B. ;
Chen H. ;
Zhu R. ;
Yu W. .
Huagong Xuebao/CIESC Journal, 2017, 68 (03) :879-888
[50]   Numerical simulation on mixing kinetics of slender particles in a rotary dryer [J].
Geng, Fan ;
Yuan, Zhulin ;
Yan, Yaming ;
Luo, Dengshan ;
Wang, Hongsheng ;
Li, Bin ;
Xu, Dayong .
POWDER TECHNOLOGY, 2009, 193 (01) :50-58