Modeling concentration polarization in crossflow microfiltration of oil-in-water emulsion using shear-induced diffusion; CFD and experimental studies

Tashvigh, Akbar Asadi; Fouladitajar, Amir; Ashtiani, Farzin Zokaee

doi:10.1016/j.desal.2014.12.001

Cited by 47 publications

(22 citation statements)

References 40 publications

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“…SID is dominant for particles in the range of 1 to 10 µm, with a particle Reynolds number lower than one and a Péclet number that is higher than one (Figure 1). Considerable effort is put into understanding the principle of shear induced diffusion [12][13][14][15][16][17][18][19][20] that is especially relevant at high volume fractions and it causes particles to interact and move towards a region with low shear (i.e., the center of a channel) [21]. Depending on the size and volume fractions of small and large particles the former or latter will predominantly move towards the center of the channel when using particles of different sizes [19].…”

Section: Shear Induced Diffusion Based Segregationmentioning

confidence: 99%

Modelling Shear Induced Diffusion Based Particle Segregation: A Basis for Novel Separation Technology

Drijer

Schroën

2018

Applied Sciences

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Shear induced diffusion (SID) based flow segregation is a technique that can be used for concentration and fractionation purposes, and it has the potential to become an economical and sustainable alternative for e.g., membrane separation. When compared to conventional microfiltration, problems related to fouling and cleaning are expected to be minimal. To make the best use of the opportunities that this technique holds, detailed insights in flow and particle behavior are needed. Modelling this process allows for us to chart particle segregation in flow, as well as the effect of suspension removal through a pore and the restoration of the flow profile after the pore. As a starting point, we take the computation fluid dynamics (CFD) model that is presented in a previous study. A difference in channel height to particle diameter ratio influences the entrance length of the SID profile as well as its fully developed profile. When extracting liquid through one pore, particles are systematically transmitted at a lower concentration (59-78%) than is present in the bulk. The recovery lengths of the SID profile after the pore were short, and thus pores can be placed at realistic distances, which forms a good foundation for further design of this novel separation technology that will ultimately be applied for fractionation of particles taking relatively small differences in diffusive behavior as a starting point.

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Section: Shear Induced Diffusion Based Segregationmentioning

confidence: 99%

Modelling Shear Induced Diffusion Based Particle Segregation: A Basis for Novel Separation Technology

Drijer

Schroën

2018

Applied Sciences

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“…(2015) [1][2][3][4][5][6][7][8][9][10][11] www.deswater.com doi: 10.1080/19443994.2015.1096830 reviewed by Cui et al [14], and it is reported that the gas sparging method may destroy the concentration polarization layer thickness and increase the permeate flux in most cases [16]. Many other works have been done in recent years which have been extensively reviewed in previous work [16].…”

Section: Desalination and Water Treatmentmentioning

confidence: 89%

“…+, −, ×, sin, cos, exp, etc.) and provide the internal cells with expression trees; (2) nodes at the end of trees (leaf nodes) are called terminal and indicate input variables and zero augments. The basic mechanism of GP for a specific problem that requires finding a mathematical model is based on a repetitive computational process.…”

Section: Genetic Programmingmentioning

confidence: 99%

“…Nowadays, a large volume of wastewater produced from various industries such as oil, gas, petrochemical, food, transportation, and metallurgical industries is discharged into the environment which mostly contains oil-in-water emulsions [1,2]. It has been shown in the recent decade that membrane technology can be successfully used to treat these kinds of wastewaters [3,4]; however, fouling and concentration polarization have still remained as disadvantages of these processes which should be overcome [5][6][7].…”

Section: Introductionmentioning

confidence: 98%

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Genetic programming for modeling and optimization of gas sparging assisted microfiltration of oil-in-water emulsion

Tashvigh

Ashtiani

Fouladitajar

2015

Desalination and Water Treatment

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A B S T R A C TGenetic programming (GP) is an orderly method based on natural evolution rules for getting computers to regularly solve a problem. In the present study, GP is presented as a novel approach for modeling the gas sparging assisted microfiltration of oil-in-water emulsion process. The effects of gas flow rate (Q G ), oil concentration (C oil ), transmembrane pressure (TMP), and liquid flow rate (Q L ) on the permeate flux and oil rejection were studied and the GP models were developed to predict the membrane performance. C oil and TMP showed significant effects on both permeate flux and rejection. An interaction between C oil and TMP was detected, at low C oil and high TMP, in which the permeate flux increased considerably. It was found that Q L has a low effect on permeate flux, but its impact on rejection was significant. Increasing Q L from 0.5 to 2.75 L/min led to a considerable increment in rejection; however, further increase in the liquid flow rate decreased the oil rejection. On the contrary, Q G showed a small effect on oil rejection, but its effect on permeate flux was notable. To determine the optimum conditions, the performance index was maximized using the developed genetic algorithm. Under the obtained optimal conditions, maximum permeate flux and rejection (%) were 121.6 (Lm 2 /h) and 93.0%, respectively.

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“…According to the Bureau of Indian Standards, the maximum permissible limit for Ni(II) ions in drinking water has been fixed at 0.02 mg/L (BIS 1994). Therefore, many technologies such as chemical precipitation (Purkayastha et al 2014), ion exchange, electrochemical technologies (Fu and Wang 2011), adsorption (Bilal et al 2013), and membrane filtration process such as microfiltration (Tashvigh et al 2015), reverse osmosis (Wei et al 2014), ultrafiltration (Tanhaei et al 2014), nanofiltration (Alzahrani and Mohammad 2014), and electrodialysis (Dermentzis 2010) have been employed for both removal and recovery of Ni(II) ion from aqueous environment. Most of these technologies are expensive and incompatibility to remove the trace level of heavy metal ions.…”

Section: Introductionmentioning

confidence: 99%

Nanoscale zero-valent iron-impregnated agricultural waste as an effective biosorbent for the removal of heavy metal ions from wastewater

Kumar¹,

Saravanan²,

Rajan³

et al. 2016

Text Cloth Sustain

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A novel, nanoscale zero-valent iron-impregnated cashew nut shell (NZVI-CNS) was synthesized towards the removal of Ni(II) ions from aqueous solution using impregnation procedure. The factors affecting Ni(II) ion adsorption in a batch mode were studied including the initial metal ion concentration, solution pH, temperature, adsorbent dosage, and contact time. The adsorption isotherm and kinetics could be described well with Freundlich and pseudo firstorder, respectively. The maximum monolayer adsorption capacity for the removal of Ni(II) ions was found to be 70.05 mg/g. The calculated thermodynamic parameters showed that the removal of Ni(II) ions by the NZVI-CNS was spontaneous, feasible, and exothermic in nature. The amount of adsorbent needed to treat the known volume of the effluent was calculated by using single-stage batch adsorber design. The experimental results specifies that the NZVI-CNS have a high adsorption capacity for the removal of Ni(II) ions from aqueous solution.

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Modeling concentration polarization in crossflow microfiltration of oil-in-water emulsion using shear-induced diffusion; CFD and experimental studies

Cited by 47 publications

References 40 publications

Modelling Shear Induced Diffusion Based Particle Segregation: A Basis for Novel Separation Technology

Modelling Shear Induced Diffusion Based Particle Segregation: A Basis for Novel Separation Technology

Genetic programming for modeling and optimization of gas sparging assisted microfiltration of oil-in-water emulsion

Nanoscale zero-valent iron-impregnated agricultural waste as an effective biosorbent for the removal of heavy metal ions from wastewater

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