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Updated: Jul 4, 2025

Predicting Catalyst Extrudate Breakage Based on the Modulus of Rupture
Published on: May 13, 2018
Aggregation and breakage dynamics of alumina particles under shear by coupled Computational Fluid Dynamics - Discrete
Lequan Zeng1, George V Franks1, Eirini Goudeli1
1Department of Chemical Engineering, The University of Melbourne, Parkville, VIC 3010, Australia; ARC Centre of Excellence for Enabling Eco-efficient Beneficiation of Minerals, The University of Melbourne, Parkville, VIC 3010, Australia.
Hypothesis:
Shear affects simultaneous aggregation and fragmentation of fine particles. Understanding the effect of shear on the dynamics of particle aggregation and break-up is important to predict aggregate size and structure. It is hypothesized that there is a transition from pure breakage of large aggregates to regimes where restructuring and aggregation also play a role as aggregates become smaller.
Simulations:
Here, aggregation and fragmentation dynamics of alumina particles are investigated under laminar shear flow using Discrete Element Method (DEM) coupled with Computational Fluid Dynamics (CFD). The effect of the shear rate on the aggregation and breakage rates is quantified accounting for particle-particle and particle-fluid interactions.
Findings:
High shear rates promote the formation of small, compact aggregates. The collision efficiency decreases with increasing shear rate following a power law for shear rates higher than 1250 s-1. The transition from the pure breakage limit to the region dominated by breakage and restructuring has been observed for the first time. The breakage rate decreases significantly as the transition occurs upon decreasing aggregate size. CFD-DEM-derived collision efficiency and breakage rate equations are proposed that can be readily employed in detailed population balance equation models for industrial particle process design.
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