1
Multi-Particle Sintering Dynamics: From Fractal-like Aggregates to Compact Structures M.L. Eggersdorfer 1 , D. Kadau 2 , H.J. Herrmann 2 and S.E. Pratsinis 1 1 Particle Technology Laboratory, ETH Zürich, CH-8092 Zürich, Switzerland Objective Characterizing the morphology and average primary particle diameter, d VA , and number, n VA , of fractal-like agglomerates (physically-bonded) and aggregates (chemically- or sinter-bonded) is needed for monitoring material synthesis of gas-borne nanoparticles, emissions from combustion engines and atmospheric particles. Here the evolution of particle coalescence by viscous flow sintering (e.g. SiO 2 , polymers) and grain boundary diffusion (e.g. TiO 2 , metals) of several agglomerates consisting of 16 – 512 primary particles made by diffusion limited cluster-cluster agglomeration (DLCA) is monitored in detail. [email protected] www.ptl.ethz.ch Particle Technology Laboratory, ETH Zürich, CH 8092 Zürich, Switzerland 2 Computational Physics of Engineering Materials, ETH Zürich, CH-8093 Zürich, Switzerland Projected Aggregate Area Scaling 1 a) Viscous flow sintering 2 b) Grain boundary diffusion Figure 1: A power law holds between normalized projected aggregate area A a /A VA and average number of primary particles n VA during sintering by a) viscous flow and b) grain boundary diffusion (average k A = 0.998 & = 1.069). α a VA A A n =k A A VA Average Primary Particle Diameter: d VA = 6V/A = (k A d m 2 /(6V)) 1/(2-3) Figure 2: The evolution of d VA as a function of aggregate Figure 3: The d VA of Ag nanoparticle agglomerates VA A A a The d VA can be estimated from agglomerate Volume V , mobility size d m and the relation 3 : A a = d m 2 /4. mobility diameter, d m , during sintering. For agglomerates of monodisperse spherical primary particles, d VA = d p independent of mobility size (horizontal agglomerate or collision line). The d m decreases during sintering while d VA increases until a compact particle (D f = 3) is generated by Kim et al. 4 is obtained by the proposed equation and compared to particle diameters d p obtained by TEM 4 (grey area represents standard deviation of d p at T = 293 K). Higher furnace temperatures (T = 473 – 873K) lead to faster Effective fractal dimension D f vs. mass mobility exponent D fm f D g p n p R n =k r fm D m p m p r n =k r reached (coalescence line). sintering and larger d VA . R Figure 4: The evolution of D f and D fm during viscous sintering of DLCA agglomerates. The exponents (D f , D fm ) are obtained by ensemble averaging over 50 agglomerates of each size. Only D fm exhibits monotonic behavior and thus can be used to characterize the degree or extent of sintering of aggregates Figure 5: The DMA-APM data of silver nanoparticle aggregates sintered at different temperatures by Kim et al. 4 are post- processed here. The D fm exhibits a monotonic increase consistent with our sintering simulations (Fig 4) r m R g Conclusions References [1] A.I. Medalia, J. Colloid Interface Sci. 24 (1967) 393-404. [2] M.L. Eggersdorfer, D. Kadau, H.J. Herrmann, S.E. Pratsinis, Langmuir 27 (2011) 6358-6367. [3] S.N. Rogak, R.C. Flagan & H.V. Nguyen, Aerosol Sci. Technol. 18 (1993) 25-47. [4] S.C. Kim, J. Wang, M.S. Emery, W.G. Shin, G.W. Mulholland & D.Y.H. Pui, J. Aerosol Sci. 43 (2009) 344-355. 1. The projected area scaling is valid during sintering. 2. The and k A are independent of sintering mechanism. 3. The d VA obtained by this work is in reasonable agreement with counting TEM images. 4. The mass-mobility exponent D fm increases monotonically, while the fractal dimension D f reaches a minimum. So D fm can be used to characterize the degree of sintering. Acknowledgments: Financial support by ETH Research grant (ETHIIRA) ETH-11 09-1 and the European Research Council. α a VA A VA A n =k A can be used to characterize the degree or extent of sintering of aggregates. consistent with our sintering simulations (Fig. 4).

Multi-Particle Sintering Dynamics: From Fractal-like ...Multi-Particle Sintering Dynamics: From Fractal-like Aggregates to Compact Structures M.L. Eggersdorfer 1, D. Kadau 2, H.J

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Page 1: Multi-Particle Sintering Dynamics: From Fractal-like ...Multi-Particle Sintering Dynamics: From Fractal-like Aggregates to Compact Structures M.L. Eggersdorfer 1, D. Kadau 2, H.J

Multi-Particle Sintering Dynamics: From Fractal-like Aggregates to Compact Structures

M.L. Eggersdorfer1, D. Kadau2, H.J. Herrmann2 and S.E. Pratsinis1

1Particle Technology Laboratory, ETH Zürich, CH-8092 Zürich, Switzerland

ObjectiveCharacterizing the morphology and average primary particle diameter, dVA, and number, nVA, of fractal-like agglomerates (physically-bonded) andaggregates (chemically- or sinter-bonded) is needed for monitoring material synthesis of gas-borne nanoparticles, emissions from combustionengines and atmospheric particles. Here the evolution of particle coalescence by viscous flow sintering (e.g. SiO2, polymers) and grain boundarydiffusion (e.g. TiO2, metals) of several agglomerates consisting of 16 – 512 primary particles made by diffusion limited cluster-clusteragglomeration (DLCA) is monitored in detail.

[email protected]

www.ptl.ethz.chParticle Technology Laboratory, ETH Zürich, CH 8092 Zürich, Switzerland

2Computational Physics of Engineering Materials, ETH Zürich, CH-8093 Zürich, Switzerland

Projected Aggregate Area Scaling1

a) Viscous flowsintering2

b) Grain boundarydiffusion

Figure 1: A power law holds between normalized projected aggregate area Aa/AVA and average number of primary particles nVA during sintering by a) viscous flow and b) grain boundary diffusion(average kA = 0.998 & = 1.069).

α

aVA A

An = k

A

AVA

Average Primary Particle Diameter: dVA= 6V/A = (kAdm2/(6V))1/(2-3)

Figure 2: The evolution of dVA

as a function of aggregate Figure 3: The dVA of Ag nanoparticle agglomerates

VAA

Aa

The dVA can be estimated from agglomerateVolume V , mobility size dm and the relation3: Aa = dm

2/4.

gg gmobility diameter, dm, during sintering. For agglomerates of monodisperse spherical primary particles, dVA = dp

independent of mobility size (horizontal agglomerate or collision line). The dm

decreases during sintering while dVA increases until a compact particle (Df = 3) is

gggenerated by Kim et al.4 is obtained by the proposed equation and compared to particle diameters dp

obtained by TEM4 (grey area represents standard deviation of dp at T = 293 K). Higher furnace temperatures (T = 473 –873K) lead to faster

Effective fractal dimension Df vs. mass mobility exponent Dfm

fD

gp n

p

Rn = k

r

fmD

mp m

p

rn = k

r

reached (coalescence line). sintering and larger dVA.

R

Figure 4: The evolution of Df and Dfm during viscous sintering of DLCA agglomerates. The exponents (Df, Dfm) are obtained by ensemble averaging over 50 agglomerates of each size. Only Dfm exhibits monotonic behavior and thus can be used to characterize the degree or extent of sintering of aggregates

Figure 5: The DMA-APM data of silver nanoparticle aggregates sintered at different temperatures by Kim et al.4 are post-processed here. The Dfm exhibits a monotonic increase consistent with our sintering simulations (Fig 4)

rm

Rg

ConclusionsReferences

[1] A.I. Medalia, J. Colloid Interface Sci. 24 (1967) 393-404.[2] M.L. Eggersdorfer, D. Kadau, H.J. Herrmann, S.E. Pratsinis,

Langmuir 27 (2011) 6358-6367.[3] S.N. Rogak, R.C. Flagan & H.V. Nguyen, Aerosol Sci.

Technol. 18 (1993) 25-47.[4] S.C. Kim, J. Wang, M.S. Emery, W.G. Shin, G.W.

Mulholland & D.Y.H. Pui, J. Aerosol Sci. 43 (2009) 344-355.

1. The projected area scaling is valid during sintering.

2. The and kA are independent of sinteringmechanism.

3. The dVA obtained by this work is in reasonableagreement with counting TEM images.

4. The mass-mobility exponent Dfm increasesmonotonically, while the fractal dimension Df

reaches a minimum. So Dfm can be used tocharacterize the degree of sintering.

Acknowledgments:Financial support by ETH Research grant (ETHIIRA) ETH-11 09-1 and the European Research Council.

α

aVA A

VA

An = k

A

can be used to characterize the degree or extent of sintering of aggregates. consistent with our sintering simulations (Fig. 4).