SCI和EI收录∣中国化工学会会刊

›› 2010, Vol. 18 ›› Issue (4): 588-599.

• FLUID FLOW AND TRANSPORT PHENOMENA • Previous Articles     Next Articles

Analysis of Turbulence Structure in the Stirred Tank with a Deep Hollow Blade Disc Turbine by Time-resolved PIV

LIU Xinhong, BAO Yuyun, LI Zhipeng, GAO Zhengming   

  1. School of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China
  • Received:2010-03-23 Revised:2010-07-02 Online:2010-08-28 Published:2010-08-28

Analysis of Turbulence Structure in the Stirred Tank with a Deep Hollow Blade Disc Turbine by Time-resolved PIV

刘心洪, 包雨云, 李志鹏, 高正明   

  1. School of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China
  • 通讯作者: GAO Zhengming, E-mail:gaozm@mail.buct.edu.cn
  • 基金资助:
    Supported by the National Natural Science Foundation of China(20776008,20821004,20990224);the National Basic Research Program of China(2007CB714300)

Abstract: The turbulence structure in the stirred tank with a deep hollow blade (semi-ellispe) disc turbine (HEDT) was investigated by using time-resolved particle image velocimetry(TRPIV) and traditional PIV.In the stirred tank,the turbulence generated by blade passage includes the periodic components and the random turbulent ones.Traditional PIV with angle-resolved measurement and TRPIV with wavelet analysis were both used to obtain the random turbulent kinetic energy as a comparison.The wavelet analysis method was successfully used in this work to separate the random turbulent kinetic energy.The distributions of the periodic kinetic energy and the random turbulent kinetic energy were obtained.In the impeller region,the averaged random turbulent kinetic energy was about 2.6 times of the averaged periodic one.The kinetic energies at different wavelet scales from a6 to d1 were also calculated and compared.TRPIV was used to record the sequence of instantaneous velocity in the impeller stream.The evolution of the impeller stream was observed clearly and the sequence of the vorticity field was also obtained for the identification of vortices.The slope of the energy spectrum was approximately-5/3 in high frequency representing the existence of inertial subrange and some isotropic properties in stirred tank.From the power spectral density (PSD),one peak existed evidently,which was located at f0 (blade passage frequency) generated by the blade passage.

Key words: stirred tank, time-resolved particle image velocimetry, wavelet analysis, energy spectrum, power spectral density, turbulent kinetic energy

摘要: The turbulence structure in the stirred tank with a deep hollow blade (semi-ellispe) disc turbine (HEDT) was investigated by using time-resolved particle image velocimetry(TRPIV) and traditional PIV.In the stirred tank,the turbulence generated by blade passage includes the periodic components and the random turbulent ones.Traditional PIV with angle-resolved measurement and TRPIV with wavelet analysis were both used to obtain the random turbulent kinetic energy as a comparison.The wavelet analysis method was successfully used in this work to separate the random turbulent kinetic energy.The distributions of the periodic kinetic energy and the random turbulent kinetic energy were obtained.In the impeller region,the averaged random turbulent kinetic energy was about 2.6 times of the averaged periodic one.The kinetic energies at different wavelet scales from a6 to d1 were also calculated and compared.TRPIV was used to record the sequence of instantaneous velocity in the impeller stream.The evolution of the impeller stream was observed clearly and the sequence of the vorticity field was also obtained for the identification of vortices.The slope of the energy spectrum was approximately-5/3 in high frequency representing the existence of inertial subrange and some isotropic properties in stirred tank.From the power spectral density (PSD),one peak existed evidently,which was located at f0 (blade passage frequency) generated by the blade passage.

关键词: stirred tank, time-resolved particle image velocimetry, wavelet analysis, energy spectrum, power spectral density, turbulent kinetic energy