An eddy interaction model for particle deposition

Agnihotri, Vivek; Ghorbaniasl, Ghader; Verbanck, Sylvia; Lacor, Christian

doi:10.1016/j.jaerosci.2011.12.003

Cited by 12 publications

(4 citation statements)

References 26 publications

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“…It is well known that the particle deposition is strongly influenced by the used near wall turbulence models, especially for small size particles. An isotropic turbulent flow is basically assumed in two equation RANS model (Reynolds Averaged Navier-Stokes), which results in an over estimation of particle deposition rate if the original eddy interaction model (EIM) in common CFD-codes is used [10][11][12]. In order to model the near-wall anisotropy flow using k-models, some modifications [9][10] of EIM have been performed previously by using damping functions that were derived using DNS-data of channel flows.…”

Section: Numerical Study Numerical Methodsmentioning

confidence: 99%

“…Concerning to the particle transport in turbulence flows, especially for nano particles, there are many reports [9][10][11][12], in which the effect of different turbulence models, wall treatments and models of turbulent dispersion on particles were investigated using CFD tools. In many of such studies, direct numerical simulation (DNS) data of channel flows were applied to create damping functions for predicting more accurate particle fluctuation velocity in near wall turbulent flow.…”

Section: Introductionmentioning

confidence: 99%

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Investigations on nano- and submicron-particle generation by spray painting processes

Tiedje

Srinivas

et al. 2017

Proceedings ILASS–Europe 2017. 28th Conference on Liquid Atomization and Spray Systems

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This paper presents experimental and numerical studies to determine the particle size distributions (PSD) and concentrations in paint overspray. Two kinds of paint materials, solvent borne and water borne paints, both with and without manufactured nanomaterials (pigments), and an industrial spray gun were used. Different aerosol measuring techniques, namely the Spraytec Fraunhofer type particle sizer for micro-sized droplets in the spray jet and the Scanning Mobility Particle Sizer (SMPS) for nano particles in paint overspray were applied. It was found, that solvent borne clear coats create significantly higher number concentration of nano-sized droplets than the water borneprimers. Only small differences in PSD between paints with and without manufactured nanomaterials were found. Numerical simulations of droplet trajectories within the spray booth, for both micro and nano sized droplets, were carried out. Based on the experimental and numerical results, a representative particle size distribution (smaller than 1 μm) for the given spray gun was obtained. Effects of turbulence models on the particle deposition on targets, especially for submicron particles, have been analysed in detailed.Keywords Nano-and submicron-particle, spray coating, aerosol measurement, droplet trajectory calculation IntroductionThe increasing application of manufactured nanomaterials (MNMs) in industrial products requires more knowledge about environmental and human safety. This is especially true for the spray painting process, which produces a high percentage of paint overspray. During the migration of the overspray droplets, solvent continues to evaporate, resulting in the formation of non-volatile fractions of paint aerosols that consist of paint matrix and the applied MNMs, such as TiO2, ZnO, carbon black, etc. The MNMs could remain embedded in paint matrix particles or released from the paint matrix. Thus, the characterization of paint overspray aerosol becomes more and more important. Information about the estimation of worker nanoparticle exposure to paint overspray is limited and particularly the process understanding of nanomaterial release during spray applications. A review of nanoparticle exposure at nanotechnology workplaces has been stated by Kuhlbusch et al. [1]. Carlton and Flynn [2] developed an empirical-conceptual model based on dimensional analysis, to predict breathing zone concentrations of a paint mist during spray painting tasks. Later, they also carried out CFD calculations to simulate production of breathingzone concentration of a paint overspray, for a simple case of the spray painting of a flat plate in a cross-flow ventilated booth [3]. For the risk estimation of exposure to paint overspray, it is also useful to categorize the paint aerosol particles in a spray jet, which can provide important information with regard to the worst case for a given spray atomizer and the applied paint material. Based on the experimental and numerical studies [4][5][6], paint droplet injection models for different atomi...

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Section: Numerical Study Numerical Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigations on nano- and submicron-particle generation by spray painting processes

Tiedje

Srinivas

et al. 2017

Proceedings ILASS–Europe 2017. 28th Conference on Liquid Atomization and Spray Systems

View full text Add to dashboard Cite

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“…It was concluded that the results are in a better match with the experimental data in comparison to the isotropic model. Agnihotri et al (2012) have studied the deposition of mono-disperse aerosols on a simplified human upper airway model using the so-called helicity-EIM which adopts new correction functions for eddy interaction model. These correlation functions are formulated in such a way that it does not require the estimation of y+ for each case in an attempt to improve the accuracy of predicting aerosol deposition.…”

Section: Introductionmentioning

confidence: 99%

RANS modeling for particle transport and deposition in turbulent duct flows: Near wall model uncertainties

Jayaraju

Sathiah

Roelofs

et al. 2015

Nuclear Engineering and Design

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“…Chen [12] studied particle dispersion in inhomogeneous, anisotropic turbulent flows by using Reynolds-stress transport model. Agnihotri et al [13] presented an anisotropic EIM and studied mono-disperse aerosols in a simplified human upper airway and a 90° bend pipe. Among the literatures mentioned above, detailed comparison between DNS and RANS model results on particle distribution is rarely reported.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of particles turbulent dispersion in channel flow

Zhao

et al. 2012

THERM SCI

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This paper investigates the performance of Reynolds-averaged Navier-Stokes model on dispersion of particles in wall turbulence. A direct numerical simulation of wall-bounded channel flow with particles suspensions was set as a benchmark. The standard k-ω model coupled with two different eddy interaction models was used in Reynolds-averaged Navier-Stokes model and compared to the direct numerical simulation. Detailed comparisons between direct numerical simulation and Reynolds-averaged Navier-Stokes model on particle distribution evolving over time were carried out

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An eddy interaction model for particle deposition

Cited by 12 publications

References 26 publications

Investigations on nano- and submicron-particle generation by spray painting processes

Investigations on nano- and submicron-particle generation by spray painting processes

RANS modeling for particle transport and deposition in turbulent duct flows: Near wall model uncertainties

Numerical investigation of particles turbulent dispersion in channel flow

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