Comparison of methods to derive morphological parameters of multi-fractal samples of particle aggregates from TEM images

Woźniak, M.; Onofri, Fabrice; Barbosa, Séverine; Yon, Jérôme; Mroczka, Janusz

doi:10.1016/j.jaerosci.2011.12.008

Cited by 95 publications

(72 citation statements)

References 30 publications

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“…TEM (Transmission Electron Microscopy), but they were not considered in this work. More information about them can be found elsewhere [24][25][26]. Furthermore, light based techniques can be used to study different structures, like erythrocytes or fibres [27][28][29][30][31][32].…”

Section: Resultsmentioning

confidence: 99%

Using the DDA (Discrete Dipole Approximation) Method in Determining the Extinction Cross Section of Black Carbon

Skorupski¹

2015

Metrology and Measurement Systems

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BC (Black Carbon), which can be found in the atmosphere, is characterized by a large value of the imaginary part of the complex refractive index and, therefore, might have an impact on the global warming effect. To study the interaction of BC with light often computer simulations are used. One of the methods, which are capable of performing light scattering simulations by any shape, is DDA (Discrete Dipole Approximation). In this work its accuracy was estimated in respect to BC structures using the latest stable version of the ADDA (vr. 1.2) algorithm. As the reference algorithm the GMM (Generalized Multiparticle Mie-Solution) code was used. The study shows that the number of volume elements (dipoles) is the main parameter that defines the quality of results. However, they can be improved by a proper polarizability expression. The most accurate, and least time consuming, simulations were observed for IGT_SO. When an aggregate consists of particles composed of ca. 750 volume elements (dipoles), the averaged relative extinction error should not exceed ca. 4.5%.

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Section: Resultsmentioning

confidence: 99%

Using the DDA (Discrete Dipole Approximation) Method in Determining the Extinction Cross Section of Black Carbon

Skorupski¹

2015

Metrology and Measurement Systems

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“…Sorensen [2] and Lapuerta [39] assumed a value of k f for aggregates of soot particles to be 1.593 corresponding to the most compact packing of monodisperse monomers. Fractal aggregate formation can be numerically simulated using particle cluster aggregation algorithm [2,40,41]. This method launches a spherical particle of radius a on a random walk.…”

Section: Modeling Fractal Aggregatesmentioning

confidence: 99%

Absorption and scattering by fractal aggregates and by their equivalent coated spheres

Kandilian

Heng

Pilon

2015

Journal of Quantitative Spectroscopy and Radiative Transfer

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“…δ 1 and δ 2 are random numbers uniformly distributed between 0 and 1. This choice avoids unequal chance fluctuations in long sequences of random angles [32] and it does not require to randomly generate angles out of a uniform spherical distribution as in [33]. We have used periodic boundary conditions to preserve the particle density during the simulation, i.e.…”

Section: Simulation Detailsmentioning

confidence: 99%

Influence of primary-particle density in the morphology of agglomerates

2014

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Agglomeration processes occur in many different realms of science such as colloid and aerosol formation or formation of bacterial colonies. We study the influence of primary particle density in agglomerate structure using diffusion-controlled Monte Carlo simulations with realistic space scales through different regimes (DLA and DLCA). The equivalence of Monte Carlo time steps to real time scales is given by Hirsch's hydrodynamical theory of Brownian motion. Agglomerate behavior at different time stages of the simulations suggests that three indices (fractal exponent, coordination number and eccentricity index) characterize agglomerate geometry. Using these indices, we have found that the initial density of primary particles greatly influences the final structure of the agglomerate as observed in recent experimental works.

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Comparison of methods to derive morphological parameters of multi-fractal samples of particle aggregates from TEM images

Cited by 95 publications

References 30 publications

Using the DDA (Discrete Dipole Approximation) Method in Determining the Extinction Cross Section of Black Carbon

Using the DDA (Discrete Dipole Approximation) Method in Determining the Extinction Cross Section of Black Carbon

Absorption and scattering by fractal aggregates and by their equivalent coated spheres

Influence of primary-particle density in the morphology of agglomerates

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