Particle deposition and layer formation at the crossflow microfiltration

Altmann, Justus; Ripperger, Siegfried

doi:10.1016/s0376-7388(96)00235-9

Cited by 301 publications

(172 citation statements)

References 9 publications

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“…According to the theoretical and experimental analysis of Rubin (1977), Altmann andRipperger (1997 andMcLaughlin, 1993), the lift force is caused by the shear flow and can be calculated as follows (13) where pj is density of the fluid.…”

Section: Lift Force Flmentioning

confidence: 99%

“…may influence the adhesive force strongly (Altmann and Ripperger, 1997). Neglecting the electrostatic interactions, the adhesive forces can be evaluated by calculating van der Waals force between two ideal spheres as follows Fig.…”

Section: Adhesive Force Famentioning

confidence: 99%

“…where M1 is the Lifschitz-van der Waals constant (10~2 J) and a is the adhesive distance (0.4 nm (Altmann and Ripperger, 1997;Brown, 1993)). …”

Section: Newtonian Law Asmentioning

confidence: 99%

“…During the past decades, significant progress has been done in the area of filtration science and technology (Andrady, 2008;Hosseini and Tafreshi, 2010a, b;Fotovati et al, 2010;Sambaer et al, 2010;Ashari and Tafreshi, 2009;Tafreshi et al, 2009;Zobel et al, 2007;Wang et al, 2006aWang et al, , b, 2007Maze et al, 2007;McNenly et al, 2005;Pich, 1966;Li and Ahmadi, 1992;Ounis and Ahmadi, 1990;Ounis et al, 1991;Altmann and Ripperger, 1997;Rubin, 1977;Brown, 1993;Thomas and Yoder, 1956;Sinclair, 1970), which follows increased needs of many advanced industries dealing with electronics, medical, pharmaceutical and biology to maintain clean room manufacturing environments (Andrady, 2008;Brown, 1993). Nanofiber mats, having fiber diameter typically in order of tens and hundred nanometers, are very well suited for air filtration because low solidity and acceptable mechanical strength can be obtained.…”

Section: Introductionmentioning

confidence: 99%

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3D modeling of filtration process via polyurethane nanofiber based nonwoven filters prepared by electrospinning process

Sambaer

Zatloukal

Kimmer³

2011

Chemical Engineering Science

243

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A B S T R A C TFull 3D particle filtration modeling at low pressures considering slip/transition/free molecular flow regime, particle-fiber interactions, air/particle slip, sieve and homogenous flow field has been performed for the polyurethane nanofiber filter prepared by electrospinning process and the obtained theoretical predictions for the filtration efficiency have been compared with the corresponding experimental data. Moreover, the effect of air velocity, viscosity, temperature, pressure and particlefiber friction coefficient on the produced polyurethane nanofiber filter efficiency has been investigated in more details. In order to take all real structure features of the nanofiber filter into account (such as varying fiber diameter, curvature along its length, inhomogeneity and mat defects), a new approach for 3D nano fiber mat model construction from corresponding SEM images has been proposed and utilized.

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Section: Lift Force Flmentioning

confidence: 99%

Section: Adhesive Force Famentioning

confidence: 99%

“…where M1 is the Lifschitz-van der Waals constant (10~2 J) and a is the adhesive distance (0.4 nm (Altmann and Ripperger, 1997;Brown, 1993)). …”

Section: Newtonian Law Asmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

3D modeling of filtration process via polyurethane nanofiber based nonwoven filters prepared by electrospinning process

Sambaer

Zatloukal

Kimmer³

2011

Chemical Engineering Science

243

View full text Add to dashboard Cite

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“…One approach is direct monitoring of foulant deposition on the surface of a membrane, which may be achieved through a variety of techniques, including microscopy, laser sensoring, reflectometry, spectroscopy, and 3D imaging [3][4][5][6][7][8][9][10][11][12]. A comprehensive review of various experimental techniques, capabilities and sensitivity specific to membrane protein fouling is provided in [13].…”

Section: Introductionmentioning

confidence: 99%

A combined network model for membrane fouling

Griffiths¹,

Kumar

Stewart

2014

Journal of Colloid and Interface Science

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Analysis and simulation of complex interactions during dynamic microfiltration ofEscherichia coli suspensions

Meyer

Gehmlich

Guthke

et al. 1998

Biotechnol. Bioeng.

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Microfiltration is an important unit operation in downstream processing. However, due to the influence of membrane fouling, prediction of the filtration performance for biological suspensions is difficult. This paper describes a modeling approach that allows a comprehensive description of filtration performance. On the basis of experimental data and linguistic information, a specific artificial neural network was developed that predicts the process behavior within a certain range of parameters. This approach allows us to analyze influences of fermentation on filtration. By using extensive simulations, the interactions of 17 parameters were examined and the fouling causes determined. The model was developed for cell harvesting of Escherichia coli through a shear‐enhanced module. The method can be applied to any cross‐flow filtration process. © 1998 John Wiley & Sons, Inc. Biotechnol Bioeng 59:189–202, 1998.

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Particle deposition and layer formation at the crossflow microfiltration

Cited by 301 publications

References 9 publications

3D modeling of filtration process via polyurethane nanofiber based nonwoven filters prepared by electrospinning process

3D modeling of filtration process via polyurethane nanofiber based nonwoven filters prepared by electrospinning process

A combined network model for membrane fouling

Analysis and simulation of complex interactions during dynamic microfiltration ofEscherichia coli suspensions

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