Computational Cost Reduction and Validation of Cluster-Cluster Aggregation Model

Abstract

This study introduces a new collision detection method obtained by modifying the grid partitioning method, which employs spatial- and cell-partitioning, into an aggregate mean free path-cluster-cluster aggregation （AMP-CCA） model. This modification allows the AMP-CCA model to calculate the three-dimensional aggregate morphology and particle size distributions （PSDs） with computational efficiency. As compared with the previous model, the new model successfully calculates the morphology in 15％ of the computational time. The calculated PSDs for a coalesced spherical particle aggregate, as calculated by the AMP-CCA model, are in reasonable agreement with the results of the sectional model regardless of concentration. The morphology calculated by the AMP-CCA model is in good agreement with previous experimental and numerical results. The AMP-CCA model, employing direct Monte Carlo simulation, serves as a useful tool to calculate the aggregate morphology and PSDs with reasonable accuracy.