Abstract
In order to study the bubble morphology, a novel experimental and numerical approach was implemented in this research focusing on the analysis of a transparent throttle valve made by Polymethylmethacrylate (PMMA) material. A feature-based algorithm was written using the MATLAB software, allowing the 2D detection and three-dimensional (3D) reconstruction of bubbles: collapsing and clustered ones. The valve core, being an important part of the throttle valve, was exposed to cavitation; hence, to distinguish it from the captured frames, the faster region-based convolutional neural network (R-CNN) algorithm was used to detect its morphology. Additionally, the main approach grouping the above listed techniques was implemented using an optimized virtual stereo vision arrangement of one camera and five plane mirrors. The results obtained during this study validated the robust algorithms and optimization applied.
Highlights
Cavitation is an omnipresent phenomenon observed during flows in valves, pipes, pressure vessels, and so on
The non-invasive approach has widely been promoted through high speed photography in bubble measurement studies, inclusive of the
Even if not all bubbles were reconstructed, the results of the 3D reconstruction tallied with the original experimental images, thereby concluding with a vivid and solid reference for recreating the bubble morphology
Summary
Cavitation is an omnipresent phenomenon observed during flows in valves, pipes, pressure vessels, and so on. Studies on fluid dynamics about solving issues related to cavitation due to bubbles collapse are being done by researchers from both universities and companies. To be more precise, understanding bubble dynamics in valves requires in-depth investigations as the presence of void fractions in optically dense multiphase flows have been hindering the observation of bubbles [1]. To the best of our knowledge, fewer studies about bubble morphology in throttle valves have been done, albeit with both the invasive techniques (impedance probe and optical fiber probe) and the non-invasive techniques (PIV, PTV, PT) being prevalent. The non-invasive approach has widely been promoted through high speed photography in bubble measurement studies, inclusive of the
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