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Holographic astigmatic particle tracking velocimetry (HAPTV)

ORAL

Abstract

The formation of twin images in digital inline holography (DIH) is the main issue that constrains the placement of the focal plane in the center of the sample volume for DIH-based particle tracking velocimetry (DIH-PTV) with a single camera. As a result, it is challenging to apply DIH-PTV for flow measurements in large-scale laboratory facilities and many field applications despite its low cost and compact setup. Here we introduce holographic astigmatic PTV (HAPTV) by inserting a cylindrical lens in the optical setup of DIH-PTV which generates distorted holograms. Such distortion is subsequently utilized in a customized reconstruction algorithm to distinguish tracers positioned on different sides of the focal plane located in the center of a sample volume. Our HAPTV approach is calibrated under different magnifications, and is implemented to measure a vertical jet flow and the channel flow in a large-scale water tunnel. The results are compared with measurements from conventional particle image velocimetry and show a good agreement. The work has demonstrated that HAPTV can achieve improved spatial resolution compared to the conventional astigmatic PTV, and also enable the implementation of DIH-based PTV to flows in field applications.

Authors

  • Zhou Zhou

    College of Ocean and Atmospheric Sciences, Ocean University of China

  • Santosh Kumar Sankar

    University of Minnesota, Dept. of Mech. Engineering, UMN, Dept of Mechanical Eng \& Saint Anthony Falls Lab, Univ of Minnesota

  • Kevin Mallery

    University of Minnesota, University of Minnesota, Twin Cities, Dept. of Mech. Engineering, UMN

  • Cheng Li

    University of Minnesota, SAFL, UMN, St. Anthony Falls Laboratory, University of Minnesota

  • Wensheng Jiang

    College of Env. Sci. \& Engineering

  • Jiarong Hong

    University of Minnesota, University of Minnesota, Twin Cities, Dept. of Mech. Engineering, UMN, St. Anthony Falls Laboratory, University of Minnesota, Department of Mechanical Engineering \& Saint Anthony Falls Lab, University of Minnesota