Fluidization behavior of binary mixtures of nanoparticles in vibro-fluidized bed

Liang, Xin; Duan, Hao; Zhou, Tao; Kong, Jiangrong

doi:10.1016/j.apt.2013.04.005

Cited by 29 publications

(17 citation statements)

References 29 publications

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“…According to Equation (23), the R-Z exponent reaches 5.1 for all nanoparticles at low Reynolds numbers. Considering n ¼ 5.1, obtained from this correlation, and using the experimental data of Yang et al, [16] the plot of (v g /v p0 ) 1/n versus f is a line, according to Equation (18). This value of the R-Z exponent accurately fits the reported experimental data.…”

Section: Resultssupporting

confidence: 53%

An improved model for determining fractal structure of nano‐agglomerates

2015

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Effects of operating conditions on fractal structures of three nanoparticle agglomerates (SiO 2 , TiO 2 , and ZnO) in a vibro-fluidized bed were investigated. An improved model is proposed by combining the fractal relation, Richardson-Zaki equation, and mass balance. This model was used to predict substantial properties of nanoparticle agglomerates, such as fractal dimension and size of the agglomerate particulate fluidization. It was shown that with increasing vibration intensity, the fractal dimension of agglomerates decreases slightly, while the number of primary particles in the agglomerate decreases significantly. It was found that the fractal dimension of nanoparticle agglomerates is in the range of 2.63-2.78, and the number of primary particles in the agglomerate is in the order of 10 10 . Agglomerate size reaches a constant value at high vibration frequency. Calculation results indicated that the vibration frequency has a more important role than its amplitude in reducing agglomerate size. Minimum fluidization velocity was calculated by applying estimated agglomerate sizes, and it was found that the results were in close agreement with the experimental data.

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Section: Resultssupporting

confidence: 53%

An improved model for determining fractal structure of nano‐agglomerates

2015

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“…The vibro-fluidized bed system was shown schematically in our previous reports [7], which is a laboratory scale fluidization column (40 mm in i.d. and 70 cm in height) equipped with a sintered porous plate gas distributor with a thickness of 2 mm and pore size of 80 μm.…”

Section: Methodsmentioning

confidence: 99%

“…The relation between u g and ε by taking the logarithms can be written as a linear equation as follows lg lg lg g t u u n (2) After that, a plot of lgu g vs. lgε can be drawn, and the R-Z exponent n and the terminal velocity u t can be obtained in term of the method from a previous paper [7]. The vibration force is considered to act on the agglomerate as an effective gravitational acceleration force [14], represented by Eq.…”

Section: Model Derivationmentioning

confidence: 99%

“…On this point, the efforts on modeling of the agglomerate size are only meaningful for the top-bed stable agglomerates. However, some hypothesizes are necessary in order to estimate the agglomerate sizes: (i) the agglomerates are all spherical in shape, having the same properties and size with a mean diameter of d a ; (ii) ignore of wall effects and elutriation; (iii) the vibration energy is mostly absorbed by the agglomerates on the surface of the fluidized bed [7].…”

Section: Model Derivationmentioning

confidence: 99%

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Agglomerating Vibro-fluidization Behavior of Binary Nanoparticles Mixtures

Liang¹,

Duan²,

Wang³

et al. 2015

Procedia Engineering

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The agglomerating fluidization behavior of different binary mixtures of SiO 2 /TiO 2 , SiO 2 /ZnO and TiO 2 /ZnO nanoparticles in vibro-fluidized bed (VFB) was performed. The results showed that the bed of nanoparticles existed obviously channeling and crack formation at lower gas velocities and slowly disappeared with increasing superficial gas velocity, and then the bed reached homogeneous fluidization state at the minimum fluidization velocity under certain amplitude (3 mm) and frequency (40 Hz) of vibrations applied. The mean agglomerate size of binary mixtures of SiO 2 /TiO 2 , SiO 2 /ZnO and TiO 2 /ZnO nanoparticles sampled at the top of the bed was 224 μm, 187 μm and 148 μm, respectively. The mean agglomerate sizes predicted by the RichardsonZaki equation combined with Stokes law were in agreement with those determined experimentally in VFB.

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“…Numerous methods are used to improve the fluidization quality of the cohesive fine particles in the Geldart group C category 3, 4 to extend the application of nanoparticles, which include vibration field 5–7, acoustic fields 8, 9, magnetic fields 10–13, adding coarse particles 14, 15, and surface modification of the primary particles 16, 17. The method of adding coarse particles is to add some Geldart A or B particles into the fluidization bed of nanoparticles, resulting in the breakage of agglomerates and reduction of the forces among nanoparticles.…”

Section: Introductionmentioning

confidence: 99%

Agglomeration Mechanism of Nanoparticles by Adding Coarse Fluid Catalytic Cracking Particles

Wang

Zhou

et al. 2016

Chem Eng & Technol

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The agglomeration mechanism of SiO 2 , TiO 2 , and ZnO nanoparticles by adding coarse fluid catalytic cracking (FCC) particles is studied. The core-shell structure of agglomerates is revealed on the basis of experimental analyses. Nanoparticles can be fluidized by forming agglomerates of the core-shell structure with coarse FCC particles. The porosity of core-shell structure agglomerates and the average roundness value were found to be distinctly lower than those of pure nanoparticle agglomerates. In addition, the cohesion of the core-shell structure agglomerates is far less than that of the agglomerates formed by pure nanoparticles. Due to the smaller porosity, irregular shape, and relatively low cohesion, the fluidization behavior of core-shell structure agglomerates is better than that of pure nanoparticle agglomerates.

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Fluidization behavior of binary mixtures of nanoparticles in vibro-fluidized bed

Cited by 29 publications

References 29 publications

An improved model for determining fractal structure of nano‐agglomerates

An improved model for determining fractal structure of nano‐agglomerates

Agglomerating Vibro-fluidization Behavior of Binary Nanoparticles Mixtures

Agglomeration Mechanism of Nanoparticles by Adding Coarse Fluid Catalytic Cracking Particles

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