Back to Search Start Over

Optical Particle Visualization Technique Using Red–Green–Blue and Core Storage Shed Flow Field Analysis

Authors :
Mok-Lyang Cho
Ji-Soo Ha
Source :
Applied Sciences, Vol 13, Iss 19, p 10997 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

This study uses a flow visualization method to analyze the flow field of a shed-type coal storage shed, comparing and verifying the findings through numerical calculation. Initially, a coal warehouse-scale model is created for flow visualization. Laser-based cross-sectional analysis yields essential flow data, from which red–green–blue values are extracted, and the flow object with the highest G value is selected. Subsequently, as the video frame changes, the moving object is tracked, and the direction is derived. The velocity vector of the moving object within the designated area is derived. Finally, we compare the results of the flow visualization experiment with the simulation outcome. Notably, the error rate in regions characterized by high flow velocity is found to be low, and a high implementation rate is observed in areas with many floating objects to track. Conversely, implementation accuracy is lower in low-velocity fields. Both methods result in a recirculation zone at the top of the inlet, and a flow stagnation region occurs on the upper part of the central wall.

Details

Language :
English
ISSN :
20763417
Volume :
13
Issue :
19
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.8bdcc9769c294f0898248ba687a1a98f
Document Type :
article
Full Text :
https://doi.org/10.3390/app131910997