Journal of the Korean Society of Visualization (한국가시화정보학회지)

The Korean Society of Visualization (한국가시화정보학회)
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Generation and Characterization of Homogeneous Isotropic Turbulence

균질한 등방향성 난류 생성 및 특성 변화 분석

  • Lee, HoonSang (Department of Mechanical & Aerospace Engineering, Seoul National University) ;
  • Han, KyuHo (Department of Mechanical & Aerospace Engineering, Seoul National University) ;
  • Park, Han June (Department of Mechanical & Aerospace Engineering, Seoul National University) ;
  • Jung, HyunKyun (Department of Mechanical & Aerospace Engineering, Seoul National University) ;
  • Hwang, Wontae (Department of Mechanical & Aerospace Engineering, Seoul National University Institute of Advanced Machines and Design, Seoul National University)
  • Received : 2018.03.26
  • Accepted : 2018.04.09
  • Published : 2018.04.30
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Abstract

Homogeneous and isotropic turbulence (HIT) with no mean flow is a very useful type of flow for basic turbulence research. However, it is difficult to generate HIT in the lab. In this study, we implemented HIT in a confined box through synthetic jet actuators using sub-woofer speakers. Characteristics of HIT are varied depending on the strength of the jets. We used 2D PIV to measure the velocity field. Turbulence statistics such as homogeneity, isotropy ratio, turbulence kinetic energy, dissipation rate, Taylor microscale, Kolmogorov scale, and velocity correlation coefficient were calculated. Most of the turbulence statistics increased exponentially according to the strength of the jets, and the Taylor Reynolds number reached up to 185.

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References

  1. Hwang, W. and Eaton, J. K., 2004, "Creating homogeneous and isotropic turbulence without a mean flow," Exp. Fluids, Vol. 36, pp. 444-454. https://doi.org/10.1007/s00348-003-0742-6
  2. Hinze, J. O., 1975, Turbulence, McGraw-Hill, pp. 176-177.
  3. Roach, P. E., 1986, "The generation of nearly isotropic turbulence by means of grids," Int. Journal of heat and fluid flow, 8 (2), pp. 82-92. https://doi.org/10.1016/0142-727X(87)90001-4
  4. Srdic, A., Fernando, H. J. S. and Montenegro, L., 1996, "Generation of nearly isotropic turbulence using two oscillating grids," Exp. Fluids, Vol. 20, pp. 395-397. https://doi.org/10.1007/BF00191022
  5. Birouk, M., Chauveau, C., Sarh, B., Quilgars, A. and Gokalp, I., 1996, "Turbulence effects on the vaporization of monocomponent single droplets," Combust. Sci. Tech, Vols. 113-114, pp. 413-428.
  6. Fallon, T. and Rogers, C. B., 2002, "Turbulenceinduced preferential concentration of solid particles in microgravity conditions," Exp. Fluids, Vol. 33, pp. 233-241. https://doi.org/10.1007/s00348-001-0394-3
  7. De Jong, J., Cao, L., Woodward, S. H., Salazar, J. P. L. C., Collins, L. R. and Meng, H., 2009, "Dissipation rate estimation from PIV in zero-mean isotropic turbulence," Exp. Fluids, Vol. 46, pp. 499-515. https://doi.org/10.1007/s00348-008-0576-3
  8. Dou, Z., Pecenak, Z. K., Cao, L., Woodward, S. H., Liang, Z., and Meng, H., 2016, "PIV measurement of high-Reynolds-number homogeneous and isotropic turbulence in an enclosed flow apparatus with fan agitation," Measurement Science and Technology, Vol. 27(3), 035305. https://doi.org/10.1088/0957-0233/27/3/035305
  9. Thielicke, W. and Stamhuis, E. J., 2014, "PIVlab - towards user-friendly, affordable and accurate digital particle image velocimetry in MATLAB," Journal of Open Research Software, 2 (1), Art. e30.
  10. Pope, S. B., 2000, Turbulent flows, Cambridge University Press, pp. 88, 200.
  11. Sheng, J., Meng, H. and Fox, F. O., 2000, "A large eddy PIV method for turbulence dissipation rate estimation," Chem. Eng. Sci., pp. 4423-4434.
  12. Xu, D. and Chen, J., 2013, "Accurate estimate of turbulent dissipation rate using PIV data," Experimental thermal and fluid science, Vol. 44, pp. 662-672. https://doi.org/10.1016/j.expthermflusci.2012.09.006
  13. Mathieu, J., and Scott, J., 2000, "An introduction to turbulent flow," Cambridge University Press, pp. 61-63.