Formation of Small Silica Aggregates by Turbulent Aggregation

Gruy, Frédéric

doi:10.1006/jcis.2001.7432

Cited by 30 publications

(47 citation statements)

References 43 publications

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“…Using the results of the present study (respectively Aello measurements and settling data from Table 2) and equations (5)(6)(7)(8), w e can now verify relation (6) in our case and determine exponent c'. Good agreement is found, w hich validates the mathematical form of Equation (6) and respective values of c' are: 0.24 and 0.19.…”

Section: Z Ero Collision Efficiencymentioning

confidence: 99%

“…S, structure factor, depends on D f and is obtained from simulations. In turbulent aggregation, D f is most of the time equal to 2.4 and S = 0.79 [8].…”

Section: Principle Of Interpretation Of Th E Sedimentation Experimentsmentioning

confidence: 99%

“…In recent w orks [2,[7][8] on aggregation of titanium dioxide or silica in similar conditions, how ever, w e came to the conclusion that such fragmentation kernels w ere not able to interpret the maximum size observed in our experiments, thus w e adopted the follow ing theoretical approach.…”

Section: Fragmentationmentioning

confidence: 99%

“…Particle extinction section C ext is derived from the Mie theory [4]; its calculation is relatively easy for spherical, compact, or large particles, how ever much more delicate for small, non compact aggregates [8]. From equation (2), it appears that variations in the particle density function f result in turbidity variation.…”

Section: Figure 1 Schematic Representation Of the Aggregation Reactormentioning

confidence: 99%

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On‐line Determination of Aggregate Size and Morphology in Suspensions

Gruy

Cournil

2004

Part & Part Syst Charact

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Abstract. Information about the aggregation state of fine particles is an important element for process control, product quality monitoring and fundamental understanding in many cases of industrial slurries. W hen aggregates are small or fragile objects, their w ithdraw al is difficult and off-line characterization may be a source of error. This w ork deals w ith the application of different in line methods to the characterization of silica aggregate size and morphology. These methods are based on turbidimetry. One of them consists of the analysis of the turbidity fluctuations and is operated on a commercial instrument. The other one uses the aggregate settling velocity w hich is determined by turbidimetry too, how ever w ith a home-made apparatus. This w ork gives us the opportunity to define morphological models for small aggregates and to calculate their drag coefficient. Thanks to these models, the aggregate morphological characteristics and the number of their constituting particles can be derived from the experimental results. Agreement betw een the different methods is examined and discussed.

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Section: Z Ero Collision Efficiencymentioning

confidence: 99%

“…S, structure factor, depends on D f and is obtained from simulations. In turbulent aggregation, D f is most of the time equal to 2.4 and S = 0.79 [8].…”

Section: Principle Of Interpretation Of Th E Sedimentation Experimentsmentioning

confidence: 99%

Section: Fragmentationmentioning

confidence: 99%

Section: Figure 1 Schematic Representation Of the Aggregation Reactormentioning

confidence: 99%

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On‐line Determination of Aggregate Size and Morphology in Suspensions

Gruy

Cournil

2004

Part & Part Syst Charact

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“…This problem has been studied from both the experimental and modeling point of view, and a wide literature has been published on this subject. Experimental results show that aggregation and breakage, after a certain time, reach a steady state, and depending on the operating conditions it results in a different final mean aggregate size [23][24][25]. Several authors have tried to reproduce this behavior by implementing different aggregation and breakage expressions as a function of fluid properties, flow field, and particle size [26][27][28].…”

Section: Introductionmentioning

confidence: 99%