Design, simulation and experimental study of a micromixer based on Tesla valve structure

doi:10.16085/j.issn.1000-6613.2020-1894

Abstract

Abstract:

Micromixer is a common equipment used for fluid mixing. Tesla valve has the potentiality to develop into micromixer due to its simple, stable structure and the special flow mode. In this paper, a Tesla-type micromixer was designed and optimized on the basis of the Tesla valve and previous research by numerical simulation. The fluid dynamics software (Fluent) was used to study the mixing index under different angles (θ) and different Reynolds numbers. In addition, the mixing index of the structure was verified by flow field analysis and experiments. The results showed that the best geometric parameter of new Tesla-type micromixer is θ=30°. When Reynolds number is 52.5, the mixing length of two fluids is 50mm, the mixing index η is 0.9647 and pressure drop of the system is 330.45Pa. Compared to previous structures, the micromixer in this study has lower pressure drop, higher mixing index and shorter mixing length.

Key words: micromixer, Tesla valve, numerical simulation, flow fluid analysis

摘要：

微混合器是常见的用于流体混合的设备，由于特斯拉阀结构简单稳定，流动方式特殊，具有开发微混合器的潜质。本文通过数值模拟的方法，在特斯拉阀结构以及前期研究的基础上，改进并优化了一种特斯拉型的微混合器，利用流体力学软件（Fluent）研究了不同θ角度以及不同雷诺数下的混合程度，并对该结构的混合效果进行了流场分析以及试验验证。结果表明，该新型微混合器的最佳几何参数为θ=30°。两股流体在Re=52.5、混合长度为50mm时，混合程度η=0.9647，体系压降为330.45Pa。该微混合器的操作压降较低，相对于先前结构，混合性能更好，混合长度更短。

关键词: 微混合器, 特斯拉阀, 数值模拟, 流场分析

CLC Number:

TQ027.1

WENG Xiangyu, YAN Shenghu, ZHANG Yue, LIU Jianwu, SHEN Jiefa. Design, simulation and experimental study of a micromixer based on Tesla valve structure[J]. Chemical Industry and Engineering Progress, 2021, 40(8): 4173-4178.

翁祥宇, 严生虎, 张跃, 刘建武, 沈介发. 一种基于特斯拉阀结构的微混合器设计、模拟及其试验研究[J]. 化工进展, 2021, 40(8): 4173-4178.

Figures/Tables 12

References 22

1	ATALAY Y T, WITTERS D, VERMEIR S, et al. Design and optimization of a double-enzyme glucose assay in microfluidic lab-on-a-chip[J]. Biomicrofluidics, 2009, 3(4): 44103.
2	张跃, 侯廷建, 严生虎, 等. HZSM-5型分子筛催化乙醇溶液脱水制备乙烯的工艺[J]. 南京工业大学学报(自然科学版), 2007, 29(3): 67-70.
	ZHANG Yue, HOU Tingjian, YAN Shenghu, et al. Catalytic conversion of dilute aqueous ethanol into ethylene by HZSM-5 zeolite[J]. Journal of Nanjing Tech University (Natural Science Edition), 2007, 29(3): 67-70.
3	吴迪, 高朋召. 微反应器技术及其研究进展[J]. 中国陶瓷工业, 2018, 25(5): 19-26.
	WU Di, GAO Pengzhao. Microreactor technology and its research progress[J]. China Ceramic Industry, 2018, 25(5): 19-26.
4	凌芳, 顾小焱, 柯德宏, 等. 微通道反应器的发展研究进展[J]. 上海化工, 2017, 42(4): 35-38.
	LING Fang, GU Xiaoyan, KE Dehong, et al. Development of micro-channel reactor[J]. Shanghai Chemical Industry, 2017, 42(4): 35-38.
5	WU Yupan, REN Y Yukun, JIANG Hongyuan. Enhanced model-based design of a high-throughput three dimensional micromixer driven by alternating-current electrothermal flow[J]. Electrophoresis: The Official Journal of the International Electrophoresis Society, 2017, 38(2): 258-269.
6	LIU Yongshun, DENG Yongbo, ZHANG Ping, et al. Experimental investigation of passive micromixers conceptual design using the layout optimization method[J]. Journal of Micromechanics and Microengineering, 2013, 23(7): 075002.
7	ABBAS Y, MIWA J, ZENGERLE R, et al. Active continuous-flow micromixer using an external Braille pin actuator array[J]. Micromachines, 2013, 4(1): 80-89.
8	KUMAR V, PARASCHIVOIU M, NIGAM K D P, et al. Single-phase fluid flow and mixing in microchannels[J]. Chemical Engineering Science, 2011, 66(7): 1329-1373.
9	AFZAL A, KIM Kwang-Yong. Three-objective optimization of a staggered herringbone micromixer[J]. Sensors and Actuators B: Chemical, 2014, B192: 350-360.
10	NGUYEN Nam-Trung. Micro-magnetofluidics: interactions between magnetism and fluid flow on the microscale[J]. Microfluidics and Nanofluidics, 2012, 12(1-4): 1-16.
11	LIN Ying. Numerical characterization of simple three-dimensional chaotic micromixers[J]. Chemical Engineering Journal, 2015, 277: 303-311.
12	李健, 夏国栋. 布置成涡结构微混合器内的流动与混合特性[J]. 化工学报, 2013, 64(7): 2328-2335.
	LI Jian, XIA Guodong. Fluid flow and mixing characteristics in micromixer with vortex-generated structures[J]. CIESC Journal, 2013, 64(7): 2328-2335.
13	NIKOLA T. Valvular conduit: US1329559[P]. 1920-02-03.
14	HONG Chien-Chong, CHOI Jin-Woo, Chong H AHN. A novel in-plane passive micromixer using coanda effect[M]// RAMSEY J M, VAN DEN BERG A. Micro Total Analysis Systems2001: Proceedings of the µTAS 2001 Symposium, held in Monterey, CA, USA21—25 October, 2001.
	Springer, Dordrecht, 2001: 31-33.
15	LUBERT C. On some recent applications of the Coanda effect[J]. The International Journal of Acoustics and Vibration, 2011, 16(3): 144-153.
16	HONG Chien-Chong, CHOI Jin-Woo, Chong H AHN. A novel in-plane passive microfluidic mixer with modified Tesla structures[J]. Lab on a Chip, 2004, 4(2): 109-113.
17	BHAGAT A A S, PAPAUTSKY I. Enhancing particle dispersion in a passive planar micromixer using rectangular obstacles[J]. Journal of Micromechanics and Microengineering, 2008, 18(8): 085005.
18	WANG Chin-Tsan, CHEN Yanming, HONG Peian, et al. Tesla valves in micromixers[J]. International Journal of Chemical Reactor Engineering, 2014, 12(1): 397-403.
19	ANAGNOSTOPOULOS J S, MATHIOULAKIS D S. Numerical simulation and hydrodynamic design optimization of a Tesla-type valve for micropumps[J]. IASME Transactions, 2005, 2(9): 1846-1852.
20	Inc Fluent. FLUENT User’s Guide[M]. US: Fluent Inc., 2013: 720-746.
21	杨哲, 郗大来, 李宁, 等. 微通道结构数值模拟及实验性能评价[J]. 化工进展， 2021, 40(1): 39-47.
	YANG Zhe, XI Dalai, LI Ning, et al. Numerical simulation and experimental performance evaluation of microchannel structure[J]. Chemical Industry and Engineering Progress, 2021, 40(1): 39-47.
22	李明. 微混合器的混合性能实验研究及其应用与设计[D]. 大连: 大连理工大学, 2016.
	LI Ming. The experimental study on mixing performance, application and design of micromixer[D]. Dalian: Dalian University of Technology, 2016.

[1]	WANG Tai, SU Shuo, LI Shengrui, MA Xiaolong, LIU Chuntao. Dynamic behavior of single bubble attached to the solid wall in the AC electric field [J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 133-141.
[2]	CHEN Kuangyin, LI Ruilan, TONG Yang, SHEN Jianhua. Structure design of gas diffusion layer in proton exchange membrane fuel cell [J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 246-259.
[3]	YANG Yudi, LI Wentao, QIAN Yongkang, HUI Junhong. Analysis of influencing factors of natural gas turbulent diffusion flame length in industrial combustion chamber [J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 267-275.
[4]	GUO Qiang, ZHAO Wenkai, XIAO Yonghou. Numerical simulation of enhancing fluid perturbation to improve separation of dimethyl sulfide/nitrogen via pressure swing adsorption [J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 64-72.
[5]	SHAO Boshi, TAN Hongbo. Simulation on the enhancement of cryogenic removal of volatile organic compounds by sawtooth plate [J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 84-93.
[6]	CHEN Lin, XU Peiyuan, ZHANG Xiaohui, CHEN Jie, XU Zhenjun, CHEN Jiaxiang, MI Xiaoguang, FENG Yongchang, MEI Deqing. Investigation on the LNG mixed refrigerant flow and heat transfer characteristics in coil-wounded heat exchanger (CWHE) system [J]. Chemical Industry and Engineering Progress, 2023, 42(9): 4496-4503.
[7]	LIU Xuanlin, WANG Yikai, DAI Suzhou, YIN Yonggao. Analysis and optimization of decomposition reactor based on ammonium carbamate in heat pump [J]. Chemical Industry and Engineering Progress, 2023, 42(9): 4522-4530.
[8]	ZHAO Xi, MA Haoran, LI Ping, HUANG Ailing. Simulation analysis and optimization design of mixing performance of staggered impact micromixer [J]. Chemical Industry and Engineering Progress, 2023, 42(9): 4559-4572.
[9]	YE Zhendong, LIU Han, LYU Jing, ZHANG Yaning, LIU Hongzhi. Optimization of thermochemical energy storage reactor based on calcium and magnesium binary salt hydrates [J]. Chemical Industry and Engineering Progress, 2023, 42(8): 4307-4314.
[10]	YU Junnan, YU Jianfeng, CHENG Yang, QI Yibo, HUA Chunjian, JIANG Yi. Performance prediction of variable-width microfluidic concentration gradient chips by deep learning [J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3383-3393.
[11]	SHAN Xueying, ZHANG Meng, ZHANG Jiafu, LI Lingyu, SONG Yan, LI Jinchun. Numerical simulation of combustion of flame retardant epoxy resin [J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3413-3419.
[12]	WANG Shuo, ZHANG Yaxin, ZHU Botao. Prediction of erosion life of coal water slurry pipeline based on grey prediction model [J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3431-3442.
[13]	ZHOU Longda, ZHAO Lixin, XU Baorui, ZHANG Shuang, LIU Lin. Advances in electrostatic-cyclonic coupling enhanced multiphase media separation research [J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3443-3456.
[14]	ZHANG Chenyu, WANG Ning, XU Hongtao, LUO Zhuqing. Performance evaluation of the multiple layer latent heat thermal energy storage unit combined with nanoparticle for heat transfer enhancement [J]. Chemical Industry and Engineering Progress, 2023, 42(5): 2332-2342.
[15]	LU Xingfu, DAI Bo, YANG Shiliang. Super-quadric discrete element method investigation of mixing behaviors of cylindrical particles in a rotating drum [J]. Chemical Industry and Engineering Progress, 2023, 42(5): 2252-2261.