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Computational modeling of bubbles growth using the coupled level set—volume of fluid method

Taqieddin, Amir, Liu, Yuxuan, Alshawabkeh, Akram N. and Allshouse, Michael R. 2020. Computational modeling of bubbles growth using the coupled level set—volume of fluid method. Fluids 5 (3) , 120. 10.3390/fluids5030120

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Abstract

Understanding the generation, growth, and dynamics of bubbles as they absorb or release dissolved gas in reactive flows is crucial for optimizing the efficiency of electrochemically gas-evolving systems like alkaline water electrolysis or hydrogen production. To better model these bubbly flow systems, we use a coupled level set and volume of fluid approach integrated with a one-fluid transport of species model to study the dynamics of stationary and rising bubbles in reactive two-phase flows. To accomplish this, source terms are incorporated into the continuity and phase conservation equations to allow the bubble to grow or shrink as the species moves through the interface. Verification of the hydrodynamics of the solver for non-reactive systems demonstrates the requisite high fidelity interface capturing and mass conservation necessary to incorporate transport of species. In reactive systems where the species impacts the bubble volume, the model reproduces the theoretically predicted and experimentally measured diffusion-controlled growth rate (i.e., �(�)∝�0.5 ). The model is then applied to rising bubbles to demonstrate the impact of transport of species on both the bubble velocity and shape as well as the concentration field in its wake. This improved model enables the incorporation of electric fields and chemical reactions that are essential for studying the physicochemical hydrodynamics in multiphysics systems.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Schools > Engineering
Subjects: T Technology > TJ Mechanical engineering and machinery
Publisher: MDPI
ISSN: 2311-5521
Date of First Compliant Deposit: 2 April 2025
Date of Acceptance: 19 July 2020
Last Modified: 07 Jul 2025 10:15
URI: https://orca.cardiff.ac.uk/id/eprint/177334

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