In this paper, an optimized model based on the ballistic cluster–cluster aggregation model is proposed to study the optical properties of aggregated particle structures. The critical improvement of the optimized model is the ability to arbitrarily select the original number of particles in the simulation and set different sizes of particles, whereas the original model is limited to 2 n particles. Herein, the discrete dipole approximation method was used to calculate the optical extinction properties of the aggregation structure. First, the effect of porosity, which is a significant parameter, is explored, and acceptable error values are calculated. Second, simulations are performed using the optimized model for conditions applicable to the original model ( N = 2 n), and the difference between the two model calculations is assessed. Finally, the extinction performance of the aggregate with an arbitrary number of particles ( N ≠ 2 n) simulated by the optimized model is calculated and compared with the results obtained by the interpolation method. The numerical results verify the generalizability and accuracy of the optimized model.
Biomaterials are composed of biological particles, which are aggregated particle systems with complex spatial and fractal structures formed by smaller unit particles due to electrostatic forces, collisions, and adhesion. In this paper, the optical properties of aggregated particles were calculated based on optimized Ballistic Cluster-Cluster Aggregation (BCCA) model. The effect of different porosity and monomer numbers of aggregates on the absorption and scattering properties is investigated. The properties were found to be enhanced with decreasing porosity and increasing number of particle monomers. And it is also found that the error due to the randomness of the structure of the aggregated particles under the same conditions enables the above conclusion to be completely satisfied when the particle number difference is greater than or equal to 6.
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