by brownian dynamics simulations ©¹ u m - eth zand measurement of airborne particles. 2nd ed.;...

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1.E Goudeli, ML Eggersdorfer, SE Pratsinis, Langmuir 2015, 31, 1320-1237. 2.IM Ilie, WK den Otter, WJ Briels. J Chem Phys 2014, 141, 065101. 3.TR Evensen, SN Naess, A Elgsaeter, Macromol. Theory Simul. 2008, 17, 403-409. 4.JG de la Torre, GD Echenique, A Ortega, J. Phys. Chem. B 2007, 111, 955-961. 5.CM Sorensen, Aerosol Sci. Tech. 2011, 45, 765-779. 6.R Dastanpour, SN Rogak, J. Aerosol Sci. 2016, 94, 22- 32. 7. PC Hiemenz, R Rajagopalan. Principles of Colloid and Surface Chemistry. Marcel Dekker: New York, 1997. 8. SN Rogak, RC Flagan. J Colloid Interf Sci 1990, 134, 206-218. 9. WC Hinds. Aerosol Technology: Properties, Behavior, and Measurement of Airborne Particles. 2 nd ed.; Wiley- Interscience: New York, 1999. 10. E Goudeli, AJ Grohn, SE Pratsinis. Aerosol Sci Tech 2016, 50 (6), 591-604.4.5 tt tt tt tt 1 3 x y z D D D D BD-obtained settling rate, u s Introduction Comparison with experiments Agglomerate structure Mobility diameter, d m A. Spyrogianni, 1 K.S. Karadima, 2,3 E. Goudeli, 4 V.G. Mavrantzas 1,2,3 and S.E. Pratsinis 1 1 Dept. of Mechanical and Process Engineering, ETH Zurich, Switzerland; 2 Dept. of Chemical Engineering, University of Patras, Patras, Greece; 3 Inst. of Chemical Engineering Sciences, FORTH/ICE-HT, Patras, Greece; 4 Dept. of Mechanical Engineering, University of Minnesota, USA Settling rate of nanosized fractal-like agglomerates by Brownian Dynamics simulations Swiss Federal Institute of Technology Zurich κ 2 : relative shape anisotropy D f : mass fractal dimension κ 2 = 0.184 D f = 1.80 κ 2 = 0.669 D f = 1.80 Normalized mobility diameter, d m , as function of the number of PPs per agglomerate, n p , by BD (symbols) and scaling laws. 5,6 B m tt 3π kT d D Diagonal elements of translational diffusion tensor D tt Stokes-Einstein equation: (1, 14) (1, 7) (1.9, 30) (1.47, 30) (1, 30) fm fm [5,6,9] p f 1 3 2 m p,g p,g p,g m m p,g s ( , , ) exp(4.5ln ) 18 D D g d d kd d u - 44%! Monitored suspension layer 3 mm Brownian Rotation 2.7 ms t = 0 ms 1.35 ms Analytical expression f p s m 1 3π g m u d Conclusions The precipitation of agglomerates impacts water cleaning, nanotoxicology, nanomedicine as well as the stability of engineered nanofluids. Here, the settling rate, u s , of fractal-like SiO 2 agglomerates 1 is calculated by Brownian Dynamics (BD) 2 tracking their translational and rotational 3 motion under gravity in water. The agglomerate mobility diameter is calculated from the translational diffusion coefficient 4 and compared to scaling laws from the literature. 5,6 The effect of constituent primary particle (PP) geometric mean diameter, d p,g , and standard deviation, σ p,g , (polydispersity) on agglomerate u s is investigated. An analytical expression for u s is derived and compared to deposition rate measurements by UV-vis spectroscopy of fumed SiO 2 agglomerates in water. References with 4 Agglomerate settling rate, u s , as function of their mobility diameter by BD simulations. Mobility diameter over diameter of gyration, d m /d g , as function of κ 2 for agglomerates with D f = 1.8 (open symbols), spheres 7 and long chains 8 . Mass fraction of settled SiO 2 agglomerates after 24 hr as function of the PP size (left) and polydispersity (right). Agglomerate settling rate, u s , as function of their mass to mobility size ratio. The BD- obtained data are fitted to an analytical expression. k m , D fm : mass-mobility prefactor & exponent; ρ p , ρ f : density of PPs and fluid; μ: fluid viscosity; g: gravitational acceleration. (σ p,g , d p,g ) The d m is in agreement with scaling laws 5,6 & the d m /d g decreases with increasing κ 2 For constant d m , the agglomerate u s increases with increasing d p,g and σ p,g Linear relationship of u s with m/d m is revealed, due to fast Brownian rotation Comparison with experiments indicates D m of 2.2 for fumed SiO 2 in water, consistent with aerosol measurements of other flame -made agglomerates 10 If monodisperse PPs are assumed, the agglomerate u s is underestimated considerably

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Page 1: by Brownian Dynamics simulations ©¹ U m - ETH Zand Measurement of Airborne Particles. 2nd ed.; Wiley-Interscience: New York, 1999. 10. E Goudeli, AJ Grohn, SE Pratsinis. Aerosol

1.E Goudeli, ML Eggersdorfer, SE Pratsinis, Langmuir

2015, 31, 1320-1237.

2. IM Ilie, WK den Otter, WJ Briels. J Chem Phys 2014,

141, 065101.

3.TR Evensen, SN Naess, A Elgsaeter, Macromol. Theory

Simul. 2008, 17, 403-409.

4.JG de la Torre, GD Echenique, A Ortega, J. Phys.

Chem. B 2007, 111, 955-961.

5.CM Sorensen, Aerosol Sci. Tech. 2011, 45, 765-779.

6.R Dastanpour, SN Rogak, J. Aerosol Sci. 2016, 94, 22-

32.

7. PC Hiemenz, R Rajagopalan. Principles of Colloid and

Surface Chemistry. Marcel Dekker: New York, 1997.

8. SN Rogak, RC Flagan. J Colloid Interf Sci 1990, 134,

206-218.

9. WC Hinds. Aerosol Technology: Properties, Behavior,

and Measurement of Airborne Particles. 2nd ed.; Wiley-

Interscience: New York, 1999.

10. E Goudeli, AJ Grohn, SE Pratsinis. Aerosol Sci Tech

2016, 50 (6), 591-604.4.5

tt tt tt tt1

3x y zD D D D

BD-obtained settling rate, usIntroduction

Swiss Federal Instituteof Technology Zurich

Comparison with experiments

Agglomerate structure

Mobility diameter, dm

A. Spyrogianni,1 K.S. Karadima,2,3 E. Goudeli,4 V.G. Mavrantzas1,2,3 and S.E. Pratsinis1

1 Dept. of Mechanical and Process Engineering, ETH Zurich, Switzerland; 2 Dept. of Chemical Engineering,

University of Patras, Patras, Greece; 3 Inst. of Chemical Engineering Sciences, FORTH/ICE-HT, Patras,

Greece; 4Dept. of Mechanical Engineering, University of Minnesota, USA

Settling rate of nanosized fractal-like agglomerates

by Brownian Dynamics simulationsSwiss Federal Instituteof Technology Zurich

κ2 : relative shape anisotropy

Df : mass fractal dimension

κ2 = 0.184

Df = 1.80 κ2 = 0.669

Df = 1.80

Normalized mobility diameter, dm, as function of the number of PPs per

agglomerate, np, by BD (symbols) and scaling laws.5,6

B

m tt3π

k Td

DDiagonal elements of translational diffusion tensor Dtt

Stokes-Einstein equation:

(1, 14)

(1, 7)

(1.9, 30)

(1.47, 30)

(1, 30)

fm fm

[5,6,9]p f 1 32

m p,g p,g p,g m m p,gs( , , ) exp(4.5ln )18

D Dg

d d k d du

- 44%!

Monitored

suspension layer3 mm

Brownian Rotation

2.7 ms

t = 0 ms

1.35 ms

Analytical expression

f

p

s

m

1

gm

ud

Conclusions

The precipitation of agglomerates impacts water cleaning, nanotoxicology,

nanomedicine as well as the stability of engineered nanofluids. Here, the

settling rate, us, of fractal-like SiO2 agglomerates1 is calculated by Brownian

Dynamics (BD)2 tracking their translational and rotational3 motion under

gravity in water.

The agglomerate mobility diameter is calculated from the translational

diffusion coefficient4 and compared to scaling laws from the literature.5,6 The

effect of constituent primary particle (PP) geometric mean diameter, dp,g, and

standard deviation, σp,g, (polydispersity) on agglomerate us is investigated.

An analytical expression for us is derived and compared to deposition rate

measurements by UV-vis spectroscopy of fumed SiO2 agglomerates in water.

References

with4

Agglomerate settling rate, us, as function of their mobility diameter by BD simulations.

Mobility diameter over diameter of gyration, dm/dg, as function of κ2 for

agglomerates with Df = 1.8 (open symbols), spheres7 and long chains8.

Mass fraction of settled SiO2 agglomerates after 24 hr as function of the PP

size (left) and polydispersity (right).

Agglomerate settling rate, us, as function of their mass to mobility size ratio. The BD-

obtained data are fitted to an analytical expression. km, Dfm: mass-mobility prefactor &

exponent; ρp, ρf: density of PPs and fluid; μ: fluid viscosity; g: gravitational acceleration.

(σp,g, dp,g)

• The dm is in agreement with scaling laws5,6 & the dm/dg decreases with

increasing κ2

• For constant dm, the agglomerate us increases with increasing dp,g and σp,g

• Linear relationship of us with m/dm is revealed, due to fast Brownian rotation

• Comparison with experiments indicates Dm of 2.2 for fumed SiO2 in water,

consistent with aerosol measurements of other flame -made agglomerates10

• If monodisperse PPs are assumed, the agglomerate us is underestimated

considerably