Analysis of solid concentration distribution in dense solid–liquid stirred tanks by electrical resistance tomography

Carletti, Claudio; Montante, Giuseppina Maria Rosa; Westerlund, Tapio; Paglianti, Alessandro

doi:10.1016/j.ces.2014.07.049

Cited by 74 publications

(56 citation statements)

References 47 publications

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“…They found that the solids concentration is not homogeneous across either the radial or axial planes in a stirred‐tank system. Using ERT, Carletti et al evaluated a solid‐liquid system by measuring the spatial concentration of the dispersed phase (solid). They concluded that the homogeneity of the system decreased with higher solid loading.…”

Section: Introductionmentioning

confidence: 99%

Mixing of Oil in Water Through Electrical Resistance Tomography and Response Surface Methodology

Mirshekari

Pakzad

2019

Chem Eng & Technol

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The mixing performance of the oil-in-water dispersion system was evaluated. Using an electrical resistance tomography system composed of two measuring planes, the effect of parameters such as impeller type, impeller speed, oil type, and oil volume fraction on the mixing performance through axial mixing indices were explored. The oil type and the oil volume fraction were identified as the most influential factors on the mixing index. Castor oil, with the highest viscosity of the tested oils, was found as the most difficult oil to disperse. The Scaba impeller was the most efficient impeller in dispersing oil in water. The interactions between oil type and impeller type as well as between impeller speed and oil type, had the greatest impact on the mixing index.

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Section: Introductionmentioning

confidence: 99%

Mixing of Oil in Water Through Electrical Resistance Tomography and Response Surface Methodology

Mirshekari

Pakzad

2019

Chem Eng & Technol

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“…Hosseini et al used an Electrical Resistance Tomography (ERT) technique to measure solid concentration distributions and investigate how the impeller type, impeller speed, impeller off‐bottom clearance, and particle size affected mixing efficiency. Carletti et al also used ERT to investigate the spatial solids distribution in a stirred tank and they proposed a method to evaluate the solids distribution under different working conditions and geometrical set‐up. Tahvildarian et al and Harrison et al used ERT to study how the working condition, particle size, and particle concentration affected the solids concentration homogeneity in a stirred tank.…”

Section: Introductionmentioning

confidence: 99%

Particle‐resolved PIV experiments of solid‐liquid mixing in a turbulent stirred tank

Gao

et al. 2017

AIChE Journal

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Particle Image Velocimetry (PIV) experiments on turbulent solid-liquid stirred tank flow with careful refractive index matching of the two phases have been performed. The spatial resolution of the PIV data is finer than the size of the spherical, uniformly sized solid particles, thereby providing insight in the flow around individual particles. The impeller is a down-pumping pitch-blade turbine. The impeller-based Reynolds number has been fixed to Re 5 10 4 . Overall solids volume fractions up to 8% have been investigated. The PIV experiments are impeller-angle resolved, that is, conditioned on the angular position of the impeller. The two-phase systems are in partially suspended states with an inhomogeneous distribution of solids: high solids loadings near the bottom and near the outer walls of the tank, much less solids in the bulk of the tank. The liquid velocity fields show very strong phase coupling effects with the particles increasingly attenuating the overall circulation patterns as well as the liquid velocity fluctuation levels when the solids volume fraction is increased.

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“…Generally, in a system containing one conductive continuous phase and one nonconductive dispersed phase, the local volume fraction of the nonconductive material is estimated from the conductivity of the mixture compared with the conductivity of the reference obtained with the pure continuous phase, as in the case of solid particles suspended in a stirred liquid. [ 23 ] The conversion is often based on the simplified Maxwell equation:

α = \frac{2 ((), C_{L} - C_{mc})}{2 C_{L} + C_{mc}}

where C L is the dimensionless conductivity of continuous phases, equal to one; and C mc is the dimensionless conductivity of the mixture. In the case of the dialyzer, the conversion cannot be applied directly since the dimensionless conductivity of the continuous phase, which is usually measured when the reference condition is recorded, cannot be measured without the fibres bundle in the liquid.…”

Section: Analysis Of the Experimental Datamentioning

confidence: 99%

Applicability of electrical resistance tomography to the analysis of fluid distribution in haemodialysis modules

2020

Self Cite

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This work aims to explore the applicability of electrical resistance tomography (ERT) in the analysis of fluid distribution in haemodialysis modules, which is not straightforward due to the complex geometry of the hollow fibre bundles and the small sizes of the modules. On the other hand, ERT is potentially a suitable and convenient technique for investigation in this field due to its cost‐effectiveness and capacity to perform measurements in opaque systems. After a preliminary estimation of the fibre bundle local distribution, the assessment of the technique is performed by observing the time evolution of the measured conductivity maps during the module filling and emptying operations with water and air, which are alternatively fed inside or outside the fibre bundle. Reliable conductivity maps are obtained by placing the module vertically or horizontally. Additional experimental data collected by feeding liquid mixtures of different sodium chloride concentrations show that the technique is suitable for detecting concentration variations, due to the mass transfer through the fibres, and flow maldistribution, due to the specific geometry of the module. From the preliminary results collected in this work, the technique appears to be adequate for the collection of data that can support the optimization of the module geometry and computational model validation.

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Analysis of solid concentration distribution in dense solid–liquid stirred tanks by electrical resistance tomography

Cited by 74 publications

References 47 publications

Mixing of Oil in Water Through Electrical Resistance Tomography and Response Surface Methodology

Mixing of Oil in Water Through Electrical Resistance Tomography and Response Surface Methodology

Particle‐resolved PIV experiments of solid‐liquid mixing in a turbulent stirred tank

Applicability of electrical resistance tomography to the analysis of fluid distribution in haemodialysis modules

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