Volumetric measurements of a self-similar adverse pressure gradient turbulent boundary layer using single-camera light-field particle image velocimetry

Conference Paper (2018)
Author(s)

Zhou Zhao (Shanghai Jiao Tong University)

Abel John Buchner (TU Delft - Fluid Mechanics, Monash University)

Junfei Ding (Shanghai Jiao Tong University)

Shengxian Shi (Shanghai Jiao Tong University)

Callum Atkinson (Monash University)

Julio Soria (Monash University)

Research Group
Fluid Mechanics
Copyright
© 2018 Zhou Zhao, A.J.L.L. Buchner, Junfei Ding, Shengxian Shi, Callum Atkinson, Julio Soria
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Zhou Zhao, A.J.L.L. Buchner, Junfei Ding, Shengxian Shi, Callum Atkinson, Julio Soria
Research Group
Fluid Mechanics
Pages (from-to)
3070-3078
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Abstract

As a novel volumetric particle image velocimetry technique, single-camera light-field PIV (LF-PIV) is able to reconstruct three-dimensional flow fields with a single camera. The merits of LF-PIV lie in its concise hardware setup and minimum optical access requirement, its capability has been proved in many flow scenarios. In this study, LF-PIV is used to measure a self-similar adverse pressure gradient turbulent boundary layer (APG-TBL). Experiments were performed in a large water tunnel at the Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC), Monash University. 20 independent batches of light-field PIV images were captured for both inner and outer flow, each consisting of 250 instantaneous image pairs. Instantaneous 3D velocity fields were reconstructed with the GPU accelerated DRT-MART and 3D cross-correlation methods and compared with two-dimensional PIV (2D-PIV) results. Initial results show that though limited by the experiment conditions and PIV algorithms developed in 2016, we still can have similar accuracy to 2D-PIV near and above the boundary layer. With the volumetric calibration method that compensates optical distortions caused by lens defect and misalignment between the micro-lens array (MLA) and image sensor, the resolution of LF-PIV is sure to have a large improvement.

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