A method for calculating the surface area of numerically simulated aggregates

Peng, Zhengbiao; Doroodchi, Elham; Sathe, Mayur J.; Joshi, Jyeshtharaj B.; Evans, Geoffrey M.; Moghtaderi, Behdad

doi:10.1016/j.apt.2014.08.005

Cited by 6 publications

(4 citation statements)

References 16 publications

(32 reference statements)

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“…Therefore, particle aggregates form, grow, and, at some point during processing, start to rupture. The dynamics of the granular assembly can be very different from that of the primary particle constituents , . The characteristics of the liquid structures between the particles are determined by a number of factors, including the interfacial tension, the solid surface wettability, the shape and size of the involved particles, and so on .…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of Funicular Liquid Bridge Interactions Between Spherical Particles

2020

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In industrial processing of wet particulate materials, the liquid governs the formation, growth, and breakup of particle agglomerates. Pendular liquid bridges between two particles have been extensively investigated in the literature. Despite the interest, the complexities in the funicular regime, which involve multiple spheres, have remained mostly uncovered. Validated numerical simulations are utilized herein to examine funicular liquid bridge shapes, interaction forces, and rupture conditions as functions of the liquid volume, pressure difference, interparticle distance, and contact angle for three-sphere and four-sphere arrangements, including the presence of a particle of different size. The agglomerate strength is quantitatively characterized for a broad range of conditions.

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Section: Introductionmentioning

confidence: 99%

Numerical Investigation of Funicular Liquid Bridge Interactions Between Spherical Particles

2020

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“…Here, the case that the formation of any connections between the preformed NPs is not allowed, as a consequence, e.g., of the electrostatic repulsion is considered. 40,49,50 The interaction part of the effective attachment rate is related to the number, G(s i ), of collisions of the ith molecule (of the size s i ) with a given particle, per unit surface area of the particle and per unit time interval, i.e., P I (s i ) B G(s i ). Thus, within the studied model system, dispersed preexisting NPs play a role of seeds that absorb dispersing molecules that stabilize and functionalize resulting greater particles (aggregates).…”

Section: Theoretical Model and The Calculation Proceduresmentioning

confidence: 99%

“…It should be noted that the exponent b can be found both experimentally and theoretically by determining the surface area and/or mass dimensions of particles. 40,49,50 The interaction part of the effective attachment rate is related to the number, G(s i ), of collisions of the ith molecule (of the size s i ) with a given particle, per unit surface area of the particle and per unit time interval, i.e., P I (s i ) B G(s i ). Assuming that particles are fixed in space and that molecules of the medium undergo the Brownian movement, one has [51][52][53][54]…”

Section: Theoretical Model and The Calculation Proceduresmentioning

confidence: 99%

Kinetics of aggregation in liquids with dispersed nanoparticles

Jeżewski

2015

Phys. Chem. Chem. Phys.

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The process of attaching molecules of liquid media by dispersed nanoparticles is modeled and numerically studied. The growth rate of the resulting nanoparticle-induced aggregates is determined by assuming the preferential attachment rule according to which the effectiveness of the connection of a new molecular unit to aggregates is determined by their size. It is shown that, depending on a specific functional form of the growth rate, the size distribution of aggregates can display very different shapes, including various multimodal structures. This can explain experimentally obtained complex size distributions of inhomogeneous aggregates appearing as a consequence of the adsorption of molecules by nanoparticles or as a consequence of the self-assembling of active dispersants on surfaces of nanoparticles. The time evolution and the stationarity of the size distribution are also analyzed, gaining an insight into the long-time behavior of systems with dispersed nanoparticles.

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“…The Go-chess method was developed for the calculation of aggregate surface area by numerical technology. 56,57 In this paper, it focused on the dynamic transportation behavior of s-liked biomass particles in a rotating drum, which was mainly determined by the structure of baffles. A series of experiments were performed under a variety of operating conditions so as to determine the RTD and flow characteristics of s-liked biomass particles during transportation.…”

Section: Introductionmentioning

confidence: 99%

Effect of baffle structure on the dynamic transportation behavior of s‐liked biomass fuels in a rotating drum

Fan

Pan

et al. 2020

Energy Science & Engineering

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Biomass energy is one of the potential renewable energy sources in the world. As the most common biomass materials, plants, wood, and waste are familiar to people and widely used in a broad range of industries. [1][2][3][4][5] Biomass materials like wood and plants are supposed to be converted into suitable forms of energy through direct combustion, which can be grown energy crops, forest residues, food processing, horticulture, or human waste from sewage plants. Meanwhile, fuel and electricity are the most useful energy forms. Therefore, researchers are attempting to develop more efficient ways to use biomass as fuel and produce more biomass materials for energy production. Over the past decades, biomass energy has been considered to be modernized and popular. However, the high moisture content of fresh biomass materials can decrease the energy efficiency of the conversion process and increase the emission of pollutants.

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A method for calculating the surface area of numerically simulated aggregates

Cited by 6 publications

References 16 publications

Numerical Investigation of Funicular Liquid Bridge Interactions Between Spherical Particles

Numerical Investigation of Funicular Liquid Bridge Interactions Between Spherical Particles

Kinetics of aggregation in liquids with dispersed nanoparticles

Effect of baffle structure on the dynamic transportation behavior of s‐liked biomass fuels in a rotating drum

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