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Updated: Sep 11, 2025

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Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
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Dynamic Mixing Process of Dissimilar Particles in Three-Dimensional Fluidized Beds
Jida Zhang1, Jikai Huang2, Junhui Yang1
1China Coal (Tianjin) Underground Engineering Intelligent Research Institute Co., Ltd., Tianjin 300000, China.
ACS Omega
|August 11, 2025
Summary
This study quantifies particle mixing in fluidized beds. Biomass and inert particle mixing dynamics reveal convection and diffusion mechanisms drive mixing differently across bed locations.
Area of Science:
- Chemical Engineering
- Fluid Dynamics
- Particle Technology
Background:
- Understanding particle mixing is crucial for optimizing fluidized bed reactor performance.
- Biomass and inert particle mixtures present unique challenges in fluidization dynamics.
Purpose of the Study:
- To investigate the dynamic mixing process of biomass and inert particles in a cylindrical fluidized bed.
- To analyze particle mixing parameters, ratios, and dispersion coefficients at multiple positions within the bed.
- To elucidate the dominant particle mixing mechanisms (convection and diffusion) across different bed regions.
Main Methods:
- Utilized a specially designed measurement system to obtain particle mixing parameters.
- Analyzed local particle mixing ratios and dispersion coefficients.
- Investigated variations in mixing ratios and dispersion coefficients to determine underlying mechanisms.
Main Results:
- Averaged radial dispersion coefficients at half-radius (0.0038–0.026 m²/s) were approximately 1.5 times higher than near the wall.
- Averaged axial dispersion coefficients (0.004–0.056 m²/s) were about 2.3 times greater than radial dispersion coefficients.
- Particle mixing at the center and top regions was primarily driven by convection, while diffusion dominated at the bottom and near the wall.
Conclusions:
- Particle mixing behavior in fluidized beds is spatially dependent.
- Convection and diffusion mechanisms play distinct roles in the mixing of biomass and inert particles.
- Dispersion coefficients provide quantitative insights into the mixing intensity within different zones of the fluidized bed.
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