Numerical study of electroosmotic mixing enhancement

被引:0
|
作者
Tang, Gui-Hua [1 ]
Wang, Fei-Fei [1 ]
Bi, Cheng [1 ]
Tao, Wen-Quan [1 ]
机构
[1] State Key Laboratory of Multiphase Flow in Power Engineering, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China
关键词
Electric fields - Kinetic theory - Computational fluid dynamics - Electrolytes - Numerical methods - Electroosmosis - Mixing - Electric potential;
D O I
暂无
中图分类号
学科分类号
摘要
The lattice Boltzmann method has been conducted to simulate the external electric field, electric potential distribution in the electrolyte, the flow field and the species concentration distribution for electroosmotic flow in four typical types of microchannels including uniform plate channel, wall block channel, asymmetric heterogeneous wall potential and symmetrical heterogeneous wall potential channels. The simulation results show that the three types of enhancement channels can enhance the electroosmotic mixing to some extent. However, due to increase of the flow resistance, the mixing time is extended, which will result in a non-negligible effect on the mixing enhancement. In the studied three types of enhanced channels, microchannel with wall blocks can achieve more effective mixing efficiency within the less extension of the mixing time.
引用
收藏
页码:1721 / 1723
相关论文
共 50 条
  • [31] Numerical study of fuel mixing enhancement using an oblique shock/vortex interaction
    Nedungadi, A
    Lewis, MJ
    JOURNAL OF PROPULSION AND POWER, 2000, 16 (06) : 946 - 955
  • [32] ENHANCEMENT OF TURBULENT MIXING BY EMBEDDED LONGITUDINAL VORTICITY: A NUMERICAL STUDY AND EXPERIMENTAL COMPARISON
    Kaci, Hakim Mohand
    Lemenand, Thierry
    Della Valle, Dominique
    Peerhossaini, Hassan
    PROCEEDINGS OF THE ASME FLUIDS ENGINEERING DIVISION SUMMER CONFERENCE, VOL 1, PTS A AND B, 2006, : 115 - 125
  • [33] NUMERICAL STUDY OF NANOFLUID HEAT TRANSFER ENHANCEMENT WITH MIXING THERMAL CONDUCTIVITY MODELS
    Tongkratoke, Amarin
    Pramuanjaroenkij, Anchasa
    Chaengbamrung, Apichart
    Kakac, Sadik
    PROCEEDINGS OF CHT-12 - ICHMT INTERNATIONAL SYMPOSIUM ON ADVANCES IN COMPUTATIONAL HEAT TRANSFER, 2012, : 855 - 867
  • [34] Numerical Study of Mixing Thermal Conductivity Models for Nanofluid Heat Transfer Enhancement
    Pramuanjaroenkij A.
    Tongkratoke A.
    Kakaç S.
    Journal of Engineering Physics and Thermophysics, 2018, 91 (1) : 104 - 114
  • [35] NUMERICAL STUDY OF NANOFLUID HEAT TRANSFER ENHANCEMENT WITH MIXING THERMAL CONDUCTIVITY MODELS
    Tongkratoke, Amarin
    Pramuanjaroenkij, Anchasa
    Chaengbamrung, Apichart
    Kakac, K.
    COMPUTATIONAL THERMAL SCIENCES, 2014, 6 (01): : 1 - 12
  • [36] A Numerical Investigation into the Influence of Electrode-Related Parameters on Electroosmotic Mixing and Related Mechanisms
    Wang, Chunsheng
    Shang, Dongxing
    FDMP-FLUID DYNAMICS & MATERIALS PROCESSING, 2020, 16 (03): : 464 - 473
  • [37] Numerical study of mixing and heat transfer in mixed electroosmotic/pressure driven flow through T-shaped microchannels
    Ebrahimi, Saman
    Hasanzadeh-Barforoushi, Amin
    Nejat, Amir
    Kowsary, Farshad
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2014, 75 : 565 - 580
  • [38] Numerical investigation and simultaneous optimization of geometry and zeta-potential in electroosmotic mixing flows
    Basati, Yaser
    Mohammadipour, Omid Reza
    Niazmand, Hamid
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2019, 133 : 786 - 799
  • [39] Numerical study of enhancing the mixing effect in microchannels via transverse electroosmotic flow by placing electrodes on top and bottom of the channel
    Hongjun Song
    Dawn J. Bennett
    Microsystem Technologies, 2011, 17 : 1427 - 1437
  • [40] Numerical study of mixing and heat transfer in mixed electroosmotic/ pressure driven flow through T-shaped microchannels
    Hasanzadeh-Barforoushi, A. (a.hasanzadeh.ut@gmail.com), 1600, Elsevier Ltd (75):