Harnessing elastic instabilities for enhanced mixing and reaction kinetics in porous media

• 成果类型: Article
• 署名作者: Browne, Christopher A.; Datta, Sujit S.
• 署名单位: Princeton University
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-9757
• DOI: 10.1073/pnas.2320962121
• 发表日期: 2024-07-16
• 关键词: biological sulfate removal; packed-bed reactor; chaotic advection; liquid-chromatography; viscoelastic fluid; solute transport; passive scalar; FLOW; diffusion; consolidation

摘要

Turbulent flows have been used for millennia to mix solutes; a familiar example is stirring cream into coffee. However, many energy, environmental, and industrial processes rely on the mixing of solutes in porous media where confinement suppresses inertial turbulence. As a result, mixing is drastically hindered, requiring fluid to permeate long distances for appreciable mixing and introducing additional steps to drive mixing that can be expensive and environmentally harmful. Here, we demonstrate that this limitation can be overcome just by adding dilute amounts of flexible polymers to the fluid. Flow-driven stretching of the polymers generates an elastic instability, driving turbulent-like chaotic flow fluctuations, despite the pore-scale confinement that prohibits typical inertial turbulence. Using in situ imaging, we show that these fluctuations stretch and fold the fluid within the pores along thin layers (lamellae) characterized by sharp solute concentration gradients, driving mixing by diffusion in the pores. This process results in a 3x x reduction in the required mixing length, a 6x x increase in solute transverse dispersivity, and can be harnessed to increase the rate at which chemical compounds react by 5x-enhancements x -enhancements that we rationalize using turbulence-inspired modeling of the underlying transport processes. Our work thereby establishes a simple, robust, versatile, and predictive way to mix solutes in porous media, with potential applications ranging from large-scale chemical production to environmental remediation.