A model for particles deposition in turbulent inclined channels

Majlesara, Mohammad; Salmanzadeh, Mazyar; Ahmadi, Goodarz

doi:10.1016/j.jaerosci.2013.06.001

Cited by 16 publications

(11 citation statements)

References 21 publications

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“…Such system a type of particulate flow, a multiphase system of disperse phase (solid particles) and the carrier phase (ambient fluid). several studies have been carried out to provide a better understanding of such multiphase system using the hybrid Eulerian-Lagrangian methods [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27], where the carrier phase and disperse phase are simulated by Eulerian and Lagrangian approaches (one-way or two-way coupled), respectively. A less typical approach, which is more suitable for denser particulate flows, is based on a continuum description of particle material (a multiphase non-Newtonian multiphase system) solved using an Eulerian-Eulerian or (more recently) LagrangianLagrangian approaches [28,29].…”

Section: Introductionmentioning

confidence: 99%

“…Their results indicated that, among previous theories, the thermophoretic velocity equation proposed by Talbot et al [30] is found to fit very well with the present experimental data. Majlesara et al [27] presented a computational model for particles deposition in turbulent inclined channels. They considered the effects of the drag, lift, Brownian, gravity and thermophoretic forces in the particle equation of motion.…”

Section: Introductionmentioning

confidence: 99%

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Eulerian–Lagrangian modeling of solid particle behavior in a square cavity with several pairs of heaters and coolers inside

2015

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Eulerian–Lagrangian modeling of solid particle behavior in a square cavity with several pairs of heaters and coolers inside

2015

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“…Discrete phase models have long been developed to understand contamination in the cleanroom and soot entrainment in the gas phase (Longest and Xi 2007; Woo et al 2012; Majlesara et al 2013; Tan et al 2013; Lee and Yook 2014). The thermophoretic force on aerosol particles in the gas phase is modeled using the equation proposed by L. Talbot et al (Talbot et al 1980), which is directly proportional to the particle diameter, gas kinematic viscosity and inversely proportional to the particle mass.…”

Section: Resultsmentioning

confidence: 99%

Measuring the Soret coefficient of nanoparticles in a dilute suspension

Chao

Öztekin

et al. 2014

J Nanopart Res

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Thermophoresis is an efficient process for the manipulation of molecules and nanoparticles due to the strong force it generates on the nanoscale. Thermophoresis is characterized by the Soret coefficient. Conventionally, the Soret coefficient of nanosized species is obtained by fitting the concentration profile under a temperature gradient at the steady state to a continuous phase model. However, when the number density of the target is ultralow and the dispersed species cannot be treated as a continuous phase, the bulk concentration fluctuates spatially, preventing extraction of temperature-gradient induced concentration profile. The present work demonstrates a strategy to tackle this problem by superimposing snapshots of nanoparticle distribution. The resulting image is suitable for the extraction of the Soret coefficient through the conventional data fitting method. The strategy is first tested through a discrete phase model that illustrates the spatial fluctuation of the nanoparticle concentration in a dilute suspension in response to the temperature gradient. By superimposing snapshots of the stochastic distribution, a thermophoretic depletion profile with low standard error is constructed, indicative of the Soret coefficient. Next, confocal analysis of nanoparticle distribution in response to a temperature gradient is performed using polystyrene nanobeads down to 1e-5% (v/v). The experimental results also reveal that superimposing enhances the accuracy of extracted Soret coefficient. The critical particle number density in the superimposed image for predicting the Soret coefficient is hypothesized to depend on the spatial resolution of the image. This study also demonstrates that the discrete phase model is an effective tool to study particle migration under thermophoresis in the liquid phase.

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“…Therefore, it is important to use a turbulence model that accounts for the anisotropy e ects, especially near the wall. The simplest model that accounts for the turbulence anisotropy is the v2f model introduced by Durbin [24], which solves three transport equations for turbulence kinetic energy, k, turbulence dissipation, ", and variance of uctuation velocity normal to the wall, v 0 2 , and an elliptic equation for the relaxation function, f. Following Majlesara et al [9], the turbulence kinetic energy, k, and the wall-normal stress, v 0 2 , are used for simulating the instantaneous turbulent velocity eld.…”

Section: Turbulent Ow Eldmentioning

confidence: 99%

“…models as well as the Lagrangian particle tracking method for evaluating particle deposition. Majlesara et al [9] analyzed particle deposition in an inclined turbulent channel ow. They evaluated the instantaneous velocity eld using the Kraichnan Gaussian Random eld model.…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling of particle motion and deposition in turbulent wavy channel flows

et al. 2019

Self Cite

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This work investigates the turbulent ow and particles deposition in wavy duct ows. The v2f turbulence model was used for simulating the turbulent ow through the wavy channel. The instantaneous turbulence uctuating velocities were simulated using the Kraichnan Gaussian random eld model. For tracking particles in the uid ow, the particle equation of motion was solved numerically. The drag, Sa man lift, Brownian, and gravity forces acting on a suspended particle were included in the particle equation of motion. The e ects of duct wave amplitude and wavelength on deposition of particles of di erent sizes were studied. A range of waves with di erent amplitudes and wavelengths was simulated. The particle tracking approach was validated for turbulent ow in a at horizontal channel, where good agreement with previous studies was found. The presented results showed that the duct wavy walls signi cantly increased the particle deposition rate.

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A model for particles deposition in turbulent inclined channels

Cited by 16 publications

References 21 publications

Eulerian–Lagrangian modeling of solid particle behavior in a square cavity with several pairs of heaters and coolers inside

Eulerian–Lagrangian modeling of solid particle behavior in a square cavity with several pairs of heaters and coolers inside

Measuring the Soret coefficient of nanoparticles in a dilute suspension

Numerical modeling of particle motion and deposition in turbulent wavy channel flows

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