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|Title:||Morphology-dependent random binary fragmentation of in silico fractal-like agglomerates|
|Authors:||DROSSINOS IOANNIS; MELAS ANASTASIOS; KOSTOGLOU MARGARITIS; ISELLA LORENZO|
|Citation:||EPL vol. 127 no. 4 p. 46002|
|Publisher:||IOP PUBLISHING LTD|
|Type:||Articles in periodicals and books|
|Abstract:||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 randomly removing a link. 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 beta distribution reproduces them rather accurately. Its exponent depends on the structure (fractal dimension) and number of monomers of the initial agglomerate. A universal fragment size distribution, a function 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.|
|JRC Directorate:||Energy, Transport and Climate|
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