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Published on: May 17, 2022
Fragmentation and restructuring of soft-agglomerates under shear.
M L Eggersdorfer1, D Kadau, H J Herrmann
1Particle Technology Laboratory, Institute of Process Engineering, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092 Zürich, Switzerland. meggers@ptl.mavt.ethz.ch
Soft agglomerates break apart in shear flow, forming smaller fragments with lognormal size distributions. These fragments then relax into more compact structures, following predictable scaling laws.
Area of Science:
- Physics
- Chemistry
- Materials Science
Background:
- Soft agglomerates are ubiquitous in natural and industrial processes.
- Understanding their behavior under flow is crucial for process optimization.
- Previous studies have explored agglomerate dynamics, but a comprehensive DEM analysis of fragmentation and relaxation is lacking.
Purpose of the Study:
- To investigate the restructuring, fragmentation, and relaxation dynamics of soft agglomerates in simple shear flow.
- To elucidate the relationship between shear rate, fragmentation onset, and fragment characteristics.
- To establish scaling laws governing agglomerate behavior.
Main Methods:
- Discrete Element Method (DEM) simulations were employed to model soft agglomerates.
- Agglomerates were subjected to simple shear flow, with van der Waals forces governing inter-particle interactions.
- Fragmentation events and fragment relaxation were tracked over time.
Main Results:
- Agglomerates rotate and elongate in shear flow, fracturing at weakest points into lognormally distributed fragments.
- Fragments relax into more compact structures than the parent agglomerates.
- Generalized scaling laws were derived for fragment mass and size, correlating with shear rate and fragmentation time-lag.
Conclusions:
- The study provides a detailed DEM-based understanding of soft agglomerate fragmentation and relaxation in shear flow.
- The findings are consistent with existing experimental and theoretical literature.
- Initial agglomerate fractal dimension impacts final fragment characteristics, offering insights for material design.
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