Flow regime dynamics in a bubble column reactor

Abstract

This study investigates fluid dynamics within bubble column reactors. Using an air-water system, flow regimes were generated and assessed using predictive models such as homogenous, Armand, and drift flux models. This study highlights the complexities of two-phase fluid flow, particularly focusing on the dynamic behaviours of fluids and bubbles within the column reactor. The experimental setup consisted of a transparent test section, utilizing advanced image processing techniques to accurately determine gas holdups and their relationship with superficial velocities. The results show that the Homogenous model effectively predicts the bubble flow regime but encounters limitations in the slug flow regime due to intricate phase interactions and transitional conditions. However, the Armand model and drift flux model showed accuracy in the slug and transitional flow regimes and improved at higher superficial liquid velocities. The study underscores the necessity of integrating several empirical models to enhance predictive capabilities in bubble columns. Thus, addressing experimental uncertainties in flow dynamics would be more optimal when other advanced models are integrated in the prediction of multiphase flow regimes.