한국가시화정보학회지 (Journal of the Korean Society of Visualization)

  • 제14권2호
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  • Pages.46-51
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  • 2016
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  • 1598-8430(pISSN)
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  • 2093-808X(eISSN)
한국가시화정보학회 (The Korean Society of Visualization)
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가상영상 PIV기반 압력장 계산법 평가

Evaluations on a Pressure-Field Calculation Method using PIV Synthetic Image

  • 투고 : 2016.07.31
  • 심사 : 2016.08.24
  • 발행 : 2016.08.31
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초록

In this study, a Masked Omni-Directional Integration(MODI) method for pressure calculation is proposed using the Particle Image Velocimetry (PIV) data. To obtain the velocity field, the Affine PIV method was adopted. Synthetic images were generated for a solid body rotation. Calculation on the pressure was based on the Navier-Stokes equation. The results obtained by the MODI were compared with those obtained by theoretical pressure and by the Omni-Directional Integration(ODI) method. It was shown that the minimum error by the proposed MODI method was attained when the mask size was 1.

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참고문헌

  1. Auteri, F., Carini M., Zagaglia, D., Montagnani, D., Gibertini, G., Merz, C.B. and Zanotti, A., 2015, "A novel approach for reconstructing pressure from PIV velocity measurements," Experiments in Fluids, Vol. 56, No.2, pp.1-22. https://doi.org/10.1007/s00348-014-1876-4
  2. Liu, X. and Katz, J., 2006, "Instantaneous pressure and material acceleration measurements using a four-exposure PIV system," Experiments in Fluids, Vol. 41, pp.227-240. https://doi.org/10.1007/s00348-006-0152-7
  3. Doh, D.H., Cho, G.R. and Lee, J. M. 2011, "Hybrid Particle Image Velocimetry based on Affine Transformation." KSME(B), Vol. 35, No.6, pp. 603-608.
  4. Baek, S. J. and Lee, S. J., 1995, "Development of a new 2-Frame Particle Tracking Algorithm using Match Probability," Trans. of the KSME(B), Vol. 19, No. 7, pp.1741-1748.
  5. Doh, D. H. and Hwang, T. G., 2004, "Performance test on 2-dimensional PIV and 3-dimensional PIV using standard images, KSME(B), Vol. 28(11), pp. 1315-1321.