Cluster models for random particle aggregates-Morphological statistics and collision distance


Cluster models for random particle aggregates-Morphological statistics and collision distance

Teichmann, J.; van den Boogaart, K. G.

In this paper, new models for particle-cluster and cluster-cluster-like aggregates are investigated trough detailed Monte Carlo simulation to model aggregation of micro-sized particles in turbulent flows.
These structures are built up by mechanisms which occur for instance in homogeneous isotropic turbulence flows with absence of Brownian motion and can be studied without a predefined motion field. The models are compared among each other in two and three dimensions with respect to several morphological properties, such as Feret diameter, radius of gyration, convexity, aspect ratio, fractal dimension and coordination number averaged over hundreds of thousands of aggregates of each size. An important part is devoted to approximation of these aggregates by spherical particles. For this, a particular radius, based on the collision distance to other particles is used, measured and approximated for both aggregate models. It can be useful for calculations related to agglomeration kernels in the framework of Smoluchowski’s coagulation equation.

Keywords: agglomeration; cluster-cluster aggregation; morphology; coagulation; micro-sized

Permalink: https://www.hzdr.de/publications/Publ-20544
Publ.-Id: 20544