Ray tracing particle image velocimetry-Challenges in the application to a packed bed

Ray tracing Particle Image Velocimetry (RT-PIV) is an optical technique for high resolution velocity measurements in challenging optical systems, such as transparent packed beds, that uses ray tracing to correct for distortions introduced by transparent geometries in the light paths. The ray tracing based correction is a post processing step applied to the raw PIV particle images before classical PIV evaluation. In this study, RT-PIV is performed in the top layer of a body centred cubic (bcc) sphere packing with gaseous flow, where optical access is obtained by the use of transparent N-BK7 glass balls with a diameter of d1/440 mm. RT-PIV introduces new experimental and numerical challenges, for example a limited field of view, illumination difficulties, a very large required depth of field and high sensitivity to geometric parameters used in the ray tracing correction. These challenges and their implications are the main scope and discussed in the present work. Further, the validation of the ray tracing reconstruction step is presented and examples for the obtained corrected vector fields in a packed bed are given. The results show the strength of the method in reconstructing velocity fields behind transparent spheres that would not have been accessible by optical measurement techniques without the ray tracing correction.& COPY; 2023 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.

Automated summary

Ray tracing Particle Image Velocimetry (RT-PIV) is an optical technique that corrects for distortions in velocity measurements caused by transparent geometries in challenging optical systems. This study focuses on the challenges and implications of using RT-PIV in a body centred cubic (bcc) sphere packing with gaseous flow, where transparent glass balls are used for optical access. The results demonstrate the effectiveness of the method in reconstructing velocity fields behind transparent spheres.