Volume 127, Number 4, August 2019
|Number of page(s)||7|
|Section||Condensed Matter: Structural, Mechanical and Thermal Properties|
|Published online||09 September 2019|
Morphology-dependent random binary fragmentation of in silico fractal-like agglomerates
1 European Commission, Joint Research Centre - 21027 Ispra (VA), Italy
2 Aerosol & Particle Technology Laboratory, CPERI/CERTH - 57001 Thessaloniki, Greece
3 Department, of Chemistry, Aristotle University - 54124 Thessaloniki, Greece
4 European Commission, DG Trade - 1040 Bruxelles, Belgium
Received: 27 March 2019
Accepted: 6 August 2019
Linear binary fragmentation of synthetic fractal-like agglomerates composed of spherical, equal-size, touching monomers is numerically investigated. Agglomerates of different morphologies are fragmented via random bond removal. The fragmentation algorithm relies on mapping each agglomerate onto an adjacency matrix. The numerically determined fragment size distributions are U-shaped, clusters break predominantly into two largely dissimilar fragments, becoming more uniform as the fractal dimension decreases. A symmetric beta distribution reproduces the fragment distribution rather accurately. Its exponent depends on the structure (fractal dimension) and number of monomers of the initial agglomerate. A universal fragment distribution, a function only of the initial fractal dimension, is derived by requiring that it satisfy the fragmentation conversation laws and the straight-chain limit. We argue that the fragmentation rate is proportional to the initial agglomerate size.
PACS: 61.43.Hv – Fractals; macroscopic aggregates (including diffusion-limited aggregates) / 82.70.-y – Disperse systems; complex fluids / 62.25.Mn – Fracture/brittleness
© EPLA, 2019
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