2006
DOI: 10.1016/j.carbon.2005.10.042
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Synchrotron SAXS 〈in situ〉 identification of three different size modes for soot nanoparticles in a diffusion flame

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Cited by 69 publications
(71 citation statements)
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“…5 shows other parameters that can be extracted from the Unified Fitting Function and these are the Porod's exponents (p 1 and p 2 ) of the power-laws describing the behaviour of the scattering intensity at the upper q range of the various size levels. In particular, as described in our previous work [14][15][16]34] the primary particles constituting fractal soot are, in turn, agglomerates of smaller sub-primary particles. In the two-level fitting approach, the Porod exponent p 2 is relative to lower q 0 s (primaries) and p 1 to higher q 0 s (sub-primaries).…”
Section: Resultsmentioning
confidence: 56%
See 1 more Smart Citation
“…5 shows other parameters that can be extracted from the Unified Fitting Function and these are the Porod's exponents (p 1 and p 2 ) of the power-laws describing the behaviour of the scattering intensity at the upper q range of the various size levels. In particular, as described in our previous work [14][15][16]34] the primary particles constituting fractal soot are, in turn, agglomerates of smaller sub-primary particles. In the two-level fitting approach, the Porod exponent p 2 is relative to lower q 0 s (primaries) and p 1 to higher q 0 s (sub-primaries).…”
Section: Resultsmentioning
confidence: 56%
“…We and others have recently used Small Angle X-ray Scattering (SAXS) [14][15][16][17][18][19][20][21][22][23] and Small Angle Neutron Scattering (SANS) [24,25] techniques to study in situ the size and distribution of soot particles in diffusion flames. In an extension of our work, we have investigated the change in the size and number of soot particles that occurs when water is injected into an ethylene flame.…”
Section: Introductionmentioning
confidence: 99%
“…Thus it can be applied to model the system's structural features starting from the smallest structural level, such as a nanoparticle towards clusters of particles up to the macro-scale. It was applied successfully in transmission scattering geometry to several particle systems [30][31][32]. In addition, it was also applied to scattering from soft matter systems [29,33,34].…”
Section: Unified Exponential/power-law Fit Modelmentioning
confidence: 99%
“…Twomey [10] was the first to do this by developing his own linear and then iterative regularization techniques; the latter technique was consequently improved by Markowski [11]. More recently di Satsio et al [12] used Tikhonov regularization [13] to recover soot primary particle size distributions from small angle X-ray scattering data.…”
Section: Introductionmentioning
confidence: 99%