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Updated: Jul 8, 2026

Predicting Catalyst Extrudate Breakage Based on the Modulus of Rupture

Predicting Catalyst Extrudate Breakage Based on the Modulus of Rupture

Published on: May 13, 2018

Modelling the kinetics of aggregate breakage using improved breakage kernel.

Xiao Feng¹, Li Xiao-yan

¹Department of Civil Engineering, The University of Hong Kong, Pokfulam Rd, Hong Kong, China. feng_xiao@hkusua.hku.hk

Water Science and Technology : a Journal of the International Association on Water Pollution Research

|January 15, 2008

Summary

This study introduces an improved aggregate breakage model, revealing that fractal dimension and shear intensity significantly influence particle fragmentation kinetics. Aggregate bonding strength and hydrophobic forces also play crucial roles in breakage probability.

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Area of Science:

Physical Chemistry
Chemical Engineering
Materials Science

Background:

Aggregate breakage is a critical process in various industrial applications, influencing product quality and process efficiency.
Existing models often oversimplify the complex interplay of forces governing aggregate fragmentation.
Understanding aggregate breakage kinetics is essential for optimizing processes involving particle size reduction.

Purpose of the Study:

To develop and validate an improved breakage kernel for describing aggregate fragmentation induced by fluid shear.
To investigate the influence of aggregate internal bonding forces and fluid shear stress on breakage probability.
To simulate and analyze the impact of fractal dimension and shear intensity on particle size distribution (PSD) changes.

Main Methods:

Development of a novel breakage kernel incorporating internal bonding forces and fluid shear stress.
Application of a sectional numerical technique to simulate the breakage process.
Analysis of particle size distribution (PSD) evolution under varying conditions.

Main Results:

The improved model accurately simulates breakage-dominant processes by tracking changes in particle size distribution (PSD).
Fractal dimension significantly impacts breakage; higher values (approaching three) indicate greater resistance to breakage.
Increased shear intensity enhances breakage kinetics, while stronger internal forces (e.g., hydrophobic forces) reduce breakage rates.

Conclusions:

The ratio of internal bonding forces to fluid shear stress is a key determinant of aggregate breakage probability.
Fractal dimension is a critical parameter influencing the difficulty of aggregate fragmentation.
While distinct daughter distribution functions exist, they have minimal impact on the overall particle size distribution after breakage.