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Published on: October 15, 2013
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Drying in a microfluidic chip: experiments and simulations.
Paolo Fantinel1, Oshri Borgman2, Ran Holtzman2
1Max Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen, 37077, Germany.
Scientific Reports
|November 16, 2017
Summary
This study introduces a microfluidic model for drying porous media, revealing how disorder affects drying patterns and rates. The model accurately reproduced geometric features but required adjustments for trapped fluid clusters to match drying rates.
Area of Science:
- Physics
- Engineering
- Material Science
Background:
- Drying of porous media is crucial in various industrial processes.
- Understanding fluid dynamics in disordered porous structures is complex.
Purpose of the Study:
- To develop and validate an experimental microfluidic model for drying porous media.
- To compare drying patterns and rates between experiments and a pore-network model under varying disorder levels.
Main Methods:
- Utilized microfluidic cells with pillar arrays to create a porous medium.
- Introduced disorder by randomizing pillar radii.
- Performed horizontal drying experiments excluding gravitational effects.
- Developed a matching two-dimensional pore-network model for simulations.
Main Results:
- Experimental and simulated drying patterns showed good agreement in geometrical features.
- The model initially under-predicted the formation of trapped fluid clusters.
- Drying rates were challenging to reproduce but improved with the inclusion of trapped clusters in the model.
Conclusions:
- The microfluidic pore-network model provides a valuable tool for studying drying in porous media.
- The study highlights the importance of accounting for trapped fluid clusters in drying models.
- The developed methodology is adaptable for various multi-phase flow problems and micro-model development.

