Morphology and mobility diameter of carbonaceous aerosols during agglomeration and surface growth

Kelesidis, Georgios A.; Goudeli, Eirini; Pratsinis, Sotiris E.

doi:10.1016/j.carbon.2017.06.004

Cited by 73 publications

(73 citation statements)

References 62 publications

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“…Eq. (11) is a discrete element modelling (DEM)-derived relationship between d m and d g of fractal-like carbonaceous aerosols experiencing agglomeration and surface growth from free molecular to transition regime, accounting for primary particle polydispersity and aggregation [59]. Since Eq.…”

Section: Detailed Model Type Spacementioning

confidence: 99%

“…In our work, with the detailed geometrical information of simulated particles known, the collision diameters and mobility diameters of soot aggregates can be calculated based on their gyration diameter (see Eq. 7) [59,77]. Such more physical description of the coagulation process would definitely improve the model performance in predicting PSDs for larger aggregate particles.…”

Section: Particle Size Distributionmentioning

confidence: 99%

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Modelling soot formation in a benchmark ethylene stagnation flame with a new detailed population balance model

Hou

Lindberg

Manuputty

et al. 2019

Combustion and Flame

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Numerical simulation of soot formation in a laminar premixed burner-stabilised benchmark ethylene stagnation flame was performed with a new detailed population balance model employing a two-step simulation methodology. In this model, soot particles are represented as aggregates composed of overlapping primary particles, where each primary particle is composed of a number of polycyclic aromatic hydrocarbons (PAHs). Coordinates of primary particles are tracked, which enables simulation on particle morphology and provides more quantities that are directly comparable to experimental observations. Parametric sensitivity study on the computed particle size distributions (PSDs) shows that the rate of production of pyrene and the collision efficiency have the most significant effect on the computed PSDs. Sensitivity of aggregate morphology to the sintering rate is studied by analysing the simulated primary particle size distributions (PPSDs) and transmission electron microscopy (TEM) images. The capability of the new model to predict PSDs in a premixed stagnation flame is investigated. Excellent agreement between the computed and measured PSDs is obtained for large burner-stagnation plate separation (≥ 0.7 cm) and for particles with mobility diameter larger than 6 nm, demonstrating the ability of this new model to describe the coagulation process of aggregate particles.

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Section: Detailed Model Type Spacementioning

confidence: 99%

Section: Particle Size Distributionmentioning

confidence: 99%

Modelling soot formation in a benchmark ethylene stagnation flame with a new detailed population balance model

Hou

Lindberg

Manuputty

et al. 2019

Combustion and Flame

View full text Add to dashboard Cite

show abstract

“…The molecular precursors, and more in general the compounds detected on freshly nucleated particles, typically feature high hydrogen to carbon ratio H/C > 0.8 [15,16,36]. Once soot particles are formed, the soot mass rapidly increases by surface growth, while the maturing primary particles coagulate and coalesce to form progressively larger aggregates characterized by complex fractal-like morphology [10,37]. In parallel, the H/C ratio of the compounds detected on the particles and aggregates surface gradually decreases to values H/C < 0.4 typical of mature soot [25,9].…”

Section: Introductionmentioning

confidence: 99%

“…From the experimental point of view, NSPs are difficult to detect and their properties are challenging to measure [26]. Commonly used diagnostics in combustion give access to a variety of information that range from the soot volume fraction [38,39] to the particle size distribution [6,40], structure and morphology [37,41]. The measurement of the mass of the compounds in the gas phase or adsorbed on the particle surface provides important chemical information on the species involved in soot formation and growth.…”

Section: Introductionmentioning

confidence: 99%

Unveiling trends in soot nucleation and growth: When secondary ion mass spectrometry meets statistical analysis

Irimiea

Faccinetto

Mercier

et al. 2019

Carbon

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At the present day, ultrafine soot particles have become the object of increasing attention due to their well-documented adverse effects on human health and climate. In particular, understanding soot nucleation is one of the most challenging problems toward a more controlled and cleaner combustion. Detailed information on the chemistry of nascent soot particles (NSPs) is expected to provide clues on the soot formation and growth reaction pathways. Herein, the early steps of soot formation in flames are addressed by investigating the chemical composition of NSPs and their molecular precursors by secondary ion mass spectrometry. The originality of this work lies on the combination of several factors that include: two different approaches to gain access to soot nucleation in premixed flames (analysis of a nucleation flame in which NSPs nucleate all along the reaction coordinate without growing in size) and in diffusion flames (separation of the precursors and soot regions); a sampling procedure that allows a rough separation of the condensable gas phase from soot particles; a large database of collected samples and high mass resolution that enable the use of an improved data reduction protocol based on hierarchical cluster analysis and principal component analysis for the data mining and interpretation.

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“…Eq. 21Although the variability range of might seem quite restrictive, in practice it covers a region that is very 15 representative of soot aggregates (Kelesidis et al, 2017;Yon et al, 2015). Therefore, we make an additional hypothesis that Eq.…”

Section: The Exponential Factormentioning

confidence: 99%

Influence of the dry aerosol particle size distribution and morphology on the cloud condensation nuclei activation. An experimental and theoretical investigation

Wu¹,

Faccinetto²,

Grimonprez³

et al. 2019

Preprint

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Abstract. The modern parametrization of the classical theory of nucleation (&#954;-K&#1255;hler theory) implicitly assumes a Dirac delta distribution to model the density of ideal spherical point size dry particles and droplets. However, anthropogenic activities like combustion or other high temperature processes frequently result in the emission of aerosols in the form of polydisperse fractal-like aggregates composed of condensed phase nanoparticles (for instance soot). If certain conditions are met, the emitted particles are known to evolve into important cloud condensation nuclei (CCN) in the atmosphere, however their behavior as CCN can deviate significantly from theoretical predictions. In this work, an extension of &#954;-K&#1255;hler theory is proposed that takes into account the effect of the size distribution and particle morphology on the activation of the aerosol dry particles. A theoretical and experimental approach are combined to derive the dependence of the activated fraction on supersaturation Fa&#8201;=&#8201;Fa(SS) on parameters that describe the size distribution and morphology of the particles like the geometric standard deviation and the fractal dimension of the aggregates. The model is tested on two different aerosols, a simple case of isolated quasi-spherical ammonium sulfate particles generated by atomization, and complex morphology soot aggregates generated by a laboratory diffusion jet flame.

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Morphology and mobility diameter of carbonaceous aerosols during agglomeration and surface growth

Cited by 73 publications

References 62 publications

Modelling soot formation in a benchmark ethylene stagnation flame with a new detailed population balance model

Modelling soot formation in a benchmark ethylene stagnation flame with a new detailed population balance model

Unveiling trends in soot nucleation and growth: When secondary ion mass spectrometry meets statistical analysis

Influence of the dry aerosol particle size distribution and morphology on the cloud condensation nuclei activation. An experimental and theoretical investigation

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