Development of a Recursive Local-Correlation PIV Algorithm and Its Performance Test

  • Daichin Daichin (Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH)) ;
  • Lee Sang Joon (Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH))
  • 발행 : 2001.12.01

초록

The hierarchic recursive local-correlation PIV algorithm with CBC(correlation based correction) method was developed to increase the spatial resolution of PIV results and to reduce error vectors. This new algorithm was applied to the single-frame and double-frame cross-correlation PIV techniques. In order to evaluate its performance, the recursive algorithm was tested using synthetic images, PIV standard images from Visualization Society of Japan, real flows including ventilation flow inside a vehicle passenger compartment and wake behind a circular cylinder with rib let surface. As a result, most spurious vectors were suppressed by employing CBC method. In addition, the hierarchical recursive correlation algorithm improved largely the sub-pixel accuracy of PIV results by decreasing the interrogation window size, increasing spatial resolution significantly.

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