Eggersdorfer M L, Pratsinis S E
Particle Technology Laboratory, Institute of Process Engineering, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092 Zürich, Switzerland.
Aerosol Sci Technol. 2012 Mar;46(3):347-353. doi: 10.1080/02786826.2011.631956.
Agglomeration is encountered in many natural or industrial processes, like growth of aerosol particles in the atmosphere and during material synthesis or even flocculation of suspensions, granulation, crystallization and with colloidal particle processing. These particles collide by different mechanisms and stick together forming irregular or fractal-like agglomerates. Typically, the structure of these agglomerates is characterized with the fractal dimension, , and pre-exponential factor, , of simulated agglomerates of monodisperse primary particles (PP) for ballistic or diffusion-limited particle-cluster and cluster-cluster collision mechanisms. Here, the effect of PP polydispersity on and is investigated with agglomerates consisting of 16 - 1024 PP with closely controlled size distribution (geometric standard deviation, σ = 1-3). These simulations are in excellent agreement with the classic structure ( and ) of agglomerates consisting of monodisperse PPs made by four different collision mechanisms as well as with agglomerates of bi-, tri-disperse and normally distributed PPs. Broadening the PP size distribution of agglomerates decreases monotonically their and for sufficiently broad PP distributions (σ > 2.5) the reaches about 1.5 and about 1 regardless of collision mechanism. Furthermore with increasing PP polydispersity, the corresponding projected area exponent, , and pre-exponential factor, , decrease monotonically from their standard values for agglomerates with monodisperse PPs. So as well as and can be an indication for PP polydispersity in mass-mobility and light scattering measurements, if the dominant agglomeration mechanism is known, like diffusion-limited and/or ballistic cluster-cluster coagulation in aerosols.
团聚现象在许多自然或工业过程中都会出现,比如大气中气溶胶颗粒的生长、材料合成过程中,甚至悬浮液的絮凝、造粒、结晶以及胶体颗粒处理过程中。这些颗粒通过不同机制相互碰撞并黏附在一起,形成不规则或类似分形的团聚体。通常,这些团聚体的结构由单分散初级颗粒(PP)模拟团聚体的分形维数(D_f)和指数前因子(A)来表征,适用于弹道或扩散限制的颗粒-簇团以及簇团-簇团碰撞机制。在此,研究了PP多分散性对(D_f)和(A)的影响,所研究的团聚体由16 - 1024个PP组成,其尺寸分布受到严格控制(几何标准偏差(\sigma = 1 - 3))。这些模拟结果与由四种不同碰撞机制形成的单分散PP团聚体的经典结构((D_f)和(A))以及双分散、三分散和正态分布PP的团聚体非常吻合。团聚体PP尺寸分布变宽会使其(D_f)和(A)单调减小,对于足够宽的PP分布((\sigma > 2.5)),无论碰撞机制如何,(D_f)约为1.5,(A)约为1。此外,随着PP多分散性的增加,相应的投影面积指数(D_p)和指数前因子(A_p)会从单分散PP团聚体的标准值单调下降。因此,如果已知主导的团聚机制,如气溶胶中的扩散限制和/或弹道簇团-簇团凝聚,那么(D_f)以及(D_p)和(A_p)可用于在质量迁移和光散射测量中指示PP的多分散性。