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Updated: Aug 8, 2025

Evolution of Staircase Structures in Diffusive Convection
Published on: September 5, 2018
Nonlinear development of convective patterns driven by a neutralization reaction in immiscible two-layer systems
Dmitry Bratsun1, Alexey Mizev1,2, Vladimir Utochkin1
1Applied Physics Department, Perm National Research Polytechnic University, Perm 614990, Russia.
This study investigates buoyancy-driven instabilities in a two-layer system using a Hele-Shaw cell. The research reveals how reaction-induced buoyancy and water production influence flow patterns, offering a new model for pattern formation.
Area of Science:
- Fluid Dynamics
- Chemical Engineering
- Pattern Formation
Background:
- Buoyancy-driven instabilities are crucial in various natural and industrial processes.
- Understanding reaction-induced instabilities in multiphase systems is complex.
- Previous models often neglect the impact of reaction byproducts like water.
Purpose of the Study:
- To theoretically and experimentally investigate buoyancy-driven instabilities in an immiscible two-layer system undergoing a neutralization reaction.
- To develop a novel mathematical model incorporating reaction-produced water.
- To establish a stability map predicting flow patterns based on initial concentrations.
Main Methods:
- Utilized a vertical Hele-Shaw cell for experiments and theoretical modeling.
- Defined a reaction-induced buoyancy number to predict flow patterns.
- Employed a reaction-diffusion-convection model within the Hele-Shaw approximation, including water production.
Main Results:
- Observed distinct flow patterns: cellular convection, fingering, and Rayleigh-Taylor convection, correlating with the reaction-induced buoyancy number.
- The novel model accurately predicted flow behavior, including the stabilizing effect of dynamically released water during reaction zone collapse.
- Experimental data showed good agreement with theoretical predictions, validating the developed model.
Conclusions:
- The study provides a comprehensive understanding of buoyancy-driven instabilities in reacting systems.
- The inclusion of water production in the model offers a more accurate representation of pattern formation.
- The stability map serves as a valuable tool for predicting and controlling flow patterns in such systems.
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