Journal ArticleDOI
Numerical characterization of the morphology of aggregated particles
TLDR
In this paper, the structures of cluster-cluster and particlecluster fractal-like aggregates were investigated and the morphological properties of aggregates undergoing partial sintering and restructuring were also investigated.About:
This article is published in Journal of Aerosol Science.The article was published on 2001-04-01. It has received 97 citations till now. The article focuses on the topics: Fractal dimension & Fractal.read more
Citations
More filters
Journal ArticleDOI
Transmission electron microscopical and aerosol dynamical characterization of soot aerosols
TL;DR: In this article, the diameter of the primary particles derived from transmission electron microscopy (TEM) is 6.6±1.7 nm for Palas soot and 22.6 ± 6.0 nm for Diesel soot.
Journal ArticleDOI
Internally mixed soot, sulfates, and organic matter in aerosol particles from Mexico City
Kouji Adachi,Peter R. Buseck +1 more
TL;DR: In this paper, the authors used a transmission electron microscope (TEM) for both imaging and chemical analysis, and measured ~8000 particles (25 samples) with aerodynamic diameters from 0.05 to 0.3 μm.
Journal ArticleDOI
Fractal parameters of individual soot particles determined using electron tomography: Implications for optical properties
Kouji Adachi,Serena H. Chung,Serena H. Chung,Heiner Friedrich,Heiner Friedrich,Peter R. Buseck +5 more
TL;DR: In this article, the authors used electron tomography with a transmission electron microscope (TEM) to determine three-dimensional (3D) properties such as fractal dimension (D f ), radius of gyration (R g ), volume (V), surface area (As), and structural coefficient (k a ) for individual soot particles from the ambient air of an Asian dust (AD) episode and from a U.S. traffic source.
Journal ArticleDOI
A Review of Terminology Used to Describe Soot Formation and Evolution under Combustion and Pyrolytic Conditions.
Hope A. Michelsen,Meredith B. Colket,Per-Erik Bengtsson,Andrea D’Anna,Pascale Desgroux,Brian S. Haynes,J. Houston Miller,Graham J. Nathan,Heinz Pitsch,Hai Wang +9 more
TL;DR: This review presents a glossary and review of terminology used to describe the chemical and physical processes involved in soot formation and evolution and addresses the inconsistencies in the use of terminology in order to dispel confusion and facilitate the advancement of soot chemistry and particle characteristics.
Journal ArticleDOI
On the relevance of accounting for the evolution of the fractal dimension in aerosol process simulations
TL;DR: In this paper, a population balance model is presented, which tracks particle growth in the gas phase and accounts for simultaneous agglomeration and sintering: Simulations reveal the evolution of the full distribution of a volume equivalent diameter and, amongst others, a mean primary particle size and the number of primary particles per agglerate.
References
More filters
Journal ArticleDOI
Diffusion-limited aggregation, a kinetic critical phenomenon
Abstract: A model for random aggregates is studied by computer simulation The model is applicable to a metal-particle aggregation process whose correlations have been measured previously Density correlations within the model aggregates fall off with distance with a fractional power law, like those of the metal aggregates The radius of gyration of the model aggregates has power-law behavior The model is a limit of a model of dendritic growth
Journal ArticleDOI
Diffusion-limited aggregation
TL;DR: In this article, the authors show that diffusion-limited aggregation has no upper critical dimension and apply scale invariance to study growth, gelation, and the structure factor of aggregates.
Journal ArticleDOI
Diffusion-controlled cluster formation in 2—6-dimensional space
TL;DR: In this article, the radius of gyration of the cluster is related to the number of particles in a diffusion-controlled cluster formation on lattices of dimensionality 2-6.
Journal ArticleDOI
Fractal and projected structure properties of soot aggregates
TL;DR: In this paper, the structure of soot aggregates was investigated, emphasizing the fractal properties as well as the relationships between the properties of actual and projected soot images. And the authors found that soot aggregate fractal property is relatively independent of fuel type and flame condition, yielding a fractal dimension of 1.82 with experimental uncertainties of 0.08 and 0.5, respectively.