Abstract
In this study, the corrugated channel flow was investigated by using an open-source particle image velocimetry (PIV) software. The open-source software called OpenPIV was first verified by using images of an earlier experimental work of a vortex ring formation. The corrugated channel flow images were taken with 200 W power LED light source and a high speed camera and those images were analysed with these spatial and temporal tools of OpenPIV. Laminar, transient and turbulent flow regimes were identified when Reynolds number was below 1100, in between 1100 and 2000 and higher than 2000, respectively. The velocity vectors were found to be about 20% lower than the previous study results. The flow inside the grooves was also investigated with OpenPIV and flow characteristics at the grooves were captured when interrogation window size was lowered. The visualization of the flow was presented for different Reynolds numbers with the relative scale values. As a result of this study, OpenPIV software was determined as promising open source PIV analysis software.
Highlights
The most complicated flow regime to analyse is turbulent flow
OpenPIV analysis mode was selected as instantaneous and the contour quantity selected as vorticity
The image pairs were selected as one from the start of the experiment, one from the middle and the last one from nearly the end of recording. Those images were imported to OpenPIV and the scaling was set to 1
Summary
The most complicated flow regime to analyse is turbulent flow. Turbulent flow has advantages when mixing of fluid streams or exchange of heat is required. The validation of the results for this study was done by using a previously captured and published vortex ring formation experiment images [7] These high quality professional PIV images were analysed with OpenPIV and the resultant vectors were post-processed via Spatial and Temporal Analysis Toolbox which is complementary software for OpenPIV. In order to do that, images of a previous graduation thesis which were taken with a high speed camera and a 200 W LED source were used. These image pairs were selected for five different Reynolds numbers and three different flow regimes
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