Experimental Study of Highly-Viscous Vertical Pipe Flow Using a Non-Intrusive Multi-View Measurement Technique
Date
2021-06-30
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
In this study, a non-intrusive multi-view measurement technique is used for tracking ascending air bubbles in a highly-viscous fluid (glycerin) and for tracking the injection of a lower-density mixture into a vertical flow of glycerin. Digital image processing was used to reduce light reflection due to back illumination in the multi-view measurement system. Combinations of convolution kernels and thresholding methods perform boundary detection, light reflection corrections and geometrical parameter measurements in the software ImageJ (Fiji). Receiver Operating Characteristics (ROC) plots based on a True Positive Rate (TPR) analysis are used to statistically quantify the effectiveness of the boundary detection and the light reflection reduction. The experimental scenarios in this study include: an opaque solid sphere ascending in a continuous highly-viscous liquid, air bubbles rising in a continuous highly-viscous liquid (glycerin), air bubbles rising in a stratified fluid with dense glycerin capped by a less dense 50%(w) water-glycerin mixture, and a colored 50%(w) water-glycerin mixture injected into a vertical flow of glycerin. The bubble volume calculation was performed using a “wedge” approximation. Bubble volume had errors as low as -0.3% compared to Ground Truth data. For the experiment of the injection of a colored 50%(w) water-glycerin mixture, light intensity analysis was examined as a method to determine parameters of injected liquid including position, length and segmentation which has the potential to be applied to the study of drag-reducing agent injection into a bulk flow.
Description
Keywords
vertical pipe flow, bubble flow, digital image processing, optical tomography
Citation
Solis Meza, M. (2021). Experimental Study of Highly-Viscous Vertical Pipe Flow Using a Non-Intrusive Multi-View Measurement Technique (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.