Apparent size-dependent growth in aggregating crystallizers

Ginter, D.M.; Loyalka, Sudarshan K.

doi:10.1016/0009-2509(96)00006-1

Cited by 8 publications

(2 citation statements)

References 9 publications

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“…In the case of including particle aggregation phenomenon into the prediction, a greater proportion of large size aggregates were formed, adding mass on/near the reactor boundary ( Figure 10, dotted line). This is probably related to the size dependence of the Brownian aggregation kernel, as smaller particles are more likely to collide and produce an aggregate (Ginter and Loyalka, 1996;Smoluchowski, 1917). The predicted particle mean size of the counter-current reactor is approximately 5 times larger than that of the confined jet mixer as simulated in the growth model ( Figure 10, dashed line).…”

Section: Particle Size Distributionsmentioning

confidence: 82%

Modelling and simulation of counter-current and confined jet reactors for hydrothermal synthesis of nano-materials

Cai

Chen

Wang

2014

Chemical Engineering Science

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A confined jet mixer and a counter-current mixer for the continuous hydrothermal flow synthesis of TiO 2 nano-materials under supercritical water conditions have been investigated using computational fluid dynamics (CFD). The fluid flow and heat transfer behaviour, including velocity and temperature profiles in both reactor configurations, are studied using the CFD tool ANSYS Fluent. The tracer concentration profiles are also simulated via solving species equations from which the mixing behaviour in the reactors is examined. A combined CFD and population balance model is used to predict the size distribution. The predicted temperature distributions for both reactors were found to be in good agreement with experimentally measured data. Detailed comparison of the hydrodynamic and thermal behaviour, and particle size distributions between the two reactors helped in the identification of key factors that affect the reactor performance, and also provided suggestions for reactor design optimisation and scale-up.

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Section: Particle Size Distributionsmentioning

confidence: 82%

Modelling and simulation of counter-current and confined jet reactors for hydrothermal synthesis of nano-materials

Cai

Chen

Wang

2014

Chemical Engineering Science

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“…The mean predicted particle size was about 8 nm when aggregation was considered during simulation, as shown in Figure 7b. Larger TiO 2 nanoparticles with broader particle size distributions, obtained when involving aggregation effects, were probably related to the size dependence of the Brownian aggregation kernel, as smaller particles were more likely to collide and produce large aggregates [35,39].…”

Section: Resultsmentioning

confidence: 99%

Population Balance and CFD Simulation of Particle Aggregation and Growth in a Continuous Confined Jet Mixer for Hydrothermal Synthesis of Nanocrystals

Wang

2021

Crystals

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Population balance and computational fluid dynamics models are built and integrated to carry out a simulation study of the reactive crystallisation process in a confined jet mixer (CJM) for the continuous flow synthesis of TiO2 nanoparticles at a supercritical water condition. In the population balance model, the crystal growth in size is modelled as being due to combined nanocrystal aggregation as well as surface growth. A free molecular model is used to predict the particle aggregation. The performance of the combined aggregation and surface growth models is compared with models that only consider surface growth as the only mechanism for particle size enlargement. It was found that the combined model gives a more accurate prediction of particle size distribution.

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Particle distribution model of gibbsite precipitation process in alumina production

Zhang¹,

Li²,

Zhang³

et al. 2011

Chemical Engineering and Processing: Process Intensification

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Apparent size-dependent growth in aggregating crystallizers

Cited by 8 publications

References 9 publications

Modelling and simulation of counter-current and confined jet reactors for hydrothermal synthesis of nano-materials

Modelling and simulation of counter-current and confined jet reactors for hydrothermal synthesis of nano-materials

Population Balance and CFD Simulation of Particle Aggregation and Growth in a Continuous Confined Jet Mixer for Hydrothermal Synthesis of Nanocrystals

Particle distribution model of gibbsite precipitation process in alumina production

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