Object Detection Algorithm for Deducing the Terminal Velocity of a Bubble in a Confined Channel
摘要
This study explores both experimental and theoretical aspects of a bubble’s terminal velocity as it rises through a confined channel using a Hele-Shaw cell. This cell, featuring two closely spaced parallel plates, creates a nearly two-dimensional flow environment. Understanding bubble dynamics in such constrained spaces is crucial for fields like microfluidics, chemical processing, and enhanced oil recovery. We use glycerine with varying viscosities as the working fluid and apply a sophisticated object detection algorithm utilizing Python and OpenCV to monitor the bubble’s centroid trajectories. This approach enables a comprehensive analysis of the bubble’s terminal velocity under different conditions, including variations in fluid viscosity and bubble size. The analysis provides valuable insights into how confinement and fluid viscosity affect the bubble’s terminal velocity. These results are significant for improving systems that require precise control over bubble dynamics in confined spaces.