Fractal and projected structure properties of soot aggregates

Köylü, Ümit Özgür; Faeth, G. M.; Farias, Tiago L.; Carvalho, M. G.

doi:10.1016/0010-2180(94)00147-k

Cited by 431 publications

(203 citation statements)

References 25 publications

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“…For All experimental conditions and the three fuels used in this work, the agglomerate soot particle TEM pictures are similar to the one shown in Fig.2. Soot particle aggregates observed in the present work are also very similar to the ones already shown in other studies [7][8]. Fig.…”

Section: Morphology and Size Distributions And Of Soot Particlessupporting

confidence: 92%

“…The filters are dissolute in a chloroforme flux and during this dissolution, the sample is deposed on TEM grid. The morphological parameters (fractal dimension D f , fractal prefactor k f and primary particle diameter D pp ) of soot particles are determined by analysis of TEM micrographs (about 50 for each fuel ), using the method introduced by Köylü et al [7] and Sorensen and Feke [8]. Table 1.…”

Section: Experimental Conditions and Soot Production Facilitymentioning

confidence: 99%

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Measurement of the Mass Specific Extinction Coefficient of Acetylene, Toluene and Polymethyl Methacrylate Soot Particles in Visible and Near-Infrared Wavelengths

Ouf¹,

Coppalle²,

Yon³

et al. 2008

Fire Saf. Sci.

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An experimental set-up has been developed to determine the mass specific σ s and the dimensionless extinction K t coefficients of soot particles at visible (632 nm) and near-infrared (1064 nm) wavelengths. Near-infrared measurements have been carried out with a multiple-path extinction cell to increase the measurement accuracy. The extinction coefficient K ext has been analysed as a function of the mass concentration, measured by a Tapered Element Oscillating Microbalance (TEOM 1105 R&P) in order to retrieve the soot mass specific extinction coefficient, σ e , in the smoke plume of acetylene, toluene and PolyMethyl MethAcrylate (PMMA) burning under turbulent, well-ventilated and small-scale conditions.

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Section: Morphology and Size Distributions And Of Soot Particlessupporting

confidence: 92%

Section: Experimental Conditions and Soot Production Facilitymentioning

confidence: 99%

Measurement of the Mass Specific Extinction Coefficient of Acetylene, Toluene and Polymethyl Methacrylate Soot Particles in Visible and Near-Infrared Wavelengths

Ouf¹,

Coppalle²,

Yon³

et al. 2008

Fire Saf. Sci.

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“…In most cases there is an initial phase of coalescent growth [11], where coagulation with small particles caused by high particle inception and rapid surface growth cause the particles to grow into near spherical "primary" particles. The coalescent regime is followed by particle aggregation, when the particles take on the form of fractal aggregates [15,14,20].…”

Section: Introductionmentioning

confidence: 99%

Numerical simulations of soot aggregation in premixed laminar flames

Morgan

Kraft

Balthasar

et al. 2007

Proceedings of the Combustion Institute

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“…Köylü et al (1995b ) 3-D TEM 2.71 1.65 Köylü et al (1995b ) 2-D TEM 2.39 1.67 Köylü et al (1995b ) 2-D TEM 2.35 1.66 Köylü et al (1995b ) 2-D TEM 2.17 1.73 Köylü et al (1995b ) 2-D TEM 2.18 1.54 Puri et al (1993) ALS 3.50 1. 40 Cai et al (1995) 3-D TEM 1.23 1.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Fractal Properties of Cluster?Cluster Aggregates

Brasil¹,

Farias²,

Carvalho³

2000

Aerosol Science and Technology

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ABSTRACT. While the fractal dimension of cluster -cluster aggregates, D f , appears to be a well-established property, the fractal prefactor, kg (also known as structural coef cient), continues to exhibit a large range of possible values. In the present paper, an attempt is made to clarify this issue which leads to conclusive results concerning the value to adopt for the fractal prefactor of simulated aggregates. Starting from a large population of "free" numerically simulated aggregates (i.e., where no restrictions to aggregate formation were imposed) the fractal properties obtained were estimated both using morphological concepts as well as light scattering theories. Furthermore, studies for aggregates having prede ned morphological k g values (namely, k g > 2 and ca. 1) were also performed in order to check the viability of these values. The results obtained for the three different populations of aggregates considered were used to infer, through a best-t analysis, the fractal properties. Our best estimates are k g ¼ 1.27 and D f ¼ 1.82, which are approximately independent of aggregate size and composition. These results are in very good agreement with numerical predictions reported by previous authors. However, experimental results systematically indicate k g > 2. This motivated the present authors to identify possible reasons for these large discrepancies. Present calculations indicate that partial sintering in conjunction with the polydispersity of aggregates (resulting in a cut-off function coef cient, k p , >1) contributes to a systematic increase in k g , possibly justifying the differences between numerical and experimental results.

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Fractal and projected structure properties of soot aggregates

Cited by 431 publications

References 25 publications

Measurement of the Mass Specific Extinction Coefficient of Acetylene, Toluene and Polymethyl Methacrylate Soot Particles in Visible and Near-Infrared Wavelengths

Measurement of the Mass Specific Extinction Coefficient of Acetylene, Toluene and Polymethyl Methacrylate Soot Particles in Visible and Near-Infrared Wavelengths

Numerical simulations of soot aggregation in premixed laminar flames

Evaluation of the Fractal Properties of Cluster?Cluster Aggregates

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