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Research Papers

Effect of Interparticle Interaction on Particle Deposition in a Crossflow Microfilter

[+] Author and Article Information
Talukder Z. Jubery

Department of Mechanical Engineering,
Iowa State University,
2025 Black Engineering,
Ames, IA 50011
e-mail: znjubery@iastate.edu

Shiv G. Kapoor

Department of Mechanical Science
and Engineering,
University of Illinois at Urbana-Champaign,
1206 W. Green Street,
Urbana, IL 61801
e-mail: sgkapoor@illinois.edu

John E. Wentz

School of Engineering,
University of St. Thomas,
2115 Summit Avenue,
Saint Paul, MN 55105
e-mail: went2252@stthomas.edu

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received April 17, 2013; final manuscript received July 24, 2014; published online November 26, 2014. Editor: Y. Lawrence Yao.

J. Manuf. Sci. Eng 137(1), 011001 (Feb 01, 2015) (7 pages) Paper No: MANU-13-1167; doi: 10.1115/1.4028288 History: Received April 17, 2013; Revised July 24, 2014; Online November 26, 2014

Recent studies show that interparticle interaction can affect particle trajectories and particle deposition causing fouling in the microfilters used for metal working fluids (MWFs). Interparticle interaction depends on various factors: particle geometry and surface properties, membrane pore geometry and surface properties, MWF's properties and system operating conditions, etc. A mathematical model with a Langevin equation for particle trajectory and a hard-sphere model for particle deposition has been used to study the effect of particle's size, particle's surface zeta potential, interparticle distance, and shape of membrane pore wall surface on particle trajectory and its deposition on membrane pore wall. The study reveals the microlevel force phenomena behind bigger particles having a lesser tendency to be deposited on membrane pore walls than smaller particles. Deposition of particles on pore walls with asperities such as previously deposited particles is also examined and it is found that such cases can reduce repulsive electrostatic forces and lead to a higher probability of particle capture.

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Figures

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Fig. 1

I. Schematic of calculation domain used in the simulation. II. Parameters related with initial positions of particles and top boundary condition of fluid flow used in the simulation. Particle A is located at (254, 0, 350) and particle B is located at (144, 0, 360).

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Fig. 2

Validation of electrostatic force calculation

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Fig. 3

Comparison of repulsive electrostatic force on particle A

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Fig. 4

Schematic of the expected trajectories for particle A

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Fig. 5

Typical trajectories of particles for the case of particle A of radius 25 nm and surface potential −25 mV

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Fig. 6

Schematic of the relative positions of particle A and the pore wall

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Fig. 7

Typical trajectories of particles for the case of particle A of radius 25 nm and zeta potential −100 mV

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Fig. 8

Typical trajectories of particles for the case of particle A of radius 75 nm and zeta potential −100 mV

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