2000
DOI: 10.1016/s0009-2509(99)00183-9
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Computational fluid-particle dynamics for the flame synthesis of alumina particles

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Cited by 132 publications
(87 citation statements)
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“…flow rates and temperature gradients). The cr ystalline structure of the particles can be also adjusted by adding dopants to the feed stream (Vemury and Pratsinis 1995) and by controlling the temperature history of the particles, as has been demonstrated by Jiang et al (2007) and shown computationally by Johannessen et al (2000;2001) and Tsantilis et al (2002). The application of external electric fields has also been shown to provide good control of the physical and chemical characteristics of the produced particles (Vemury and Pratsinis 1995;Kammler and Pratsinis 2000;Kammler et al 2003).…”
Section: Flame Synthesismentioning
confidence: 97%
“…flow rates and temperature gradients). The cr ystalline structure of the particles can be also adjusted by adding dopants to the feed stream (Vemury and Pratsinis 1995) and by controlling the temperature history of the particles, as has been demonstrated by Jiang et al (2007) and shown computationally by Johannessen et al (2000;2001) and Tsantilis et al (2002). The application of external electric fields has also been shown to provide good control of the physical and chemical characteristics of the produced particles (Vemury and Pratsinis 1995;Kammler and Pratsinis 2000;Kammler et al 2003).…”
Section: Flame Synthesismentioning
confidence: 97%
“…Assuming strong adhesive forces, characteristic for small particles, or chemical bonds, these collisions result in coagulation [7], [8]. Coalescence and fusion are sufficiently fast in the high-temperature zones of the reactor to effect a reduction in the level of aggregation or even the formation of spherical particles due to sintering processes [9], [10]. Figure 3 shows the mechanisms' influence on particle formation, growth, and final morphology.…”
Section: Gas-phase Synthesis Of Nanoparticlesmentioning
confidence: 99%
“…As in the case of soot, early works on modelling nanoparticle synthesis with CFD relied on a moment approach to predict integral properties such as volume fraction and surface area. Pratsinis et al [188] simulated ideal reactors with moment methods and Johannessen et al [105] modelled the combustion synthesis of alumina particles by coupling a moment method with FLUENT. Muhlenweg et al [158] compared the moment approach with a discretised PBE and a two-dimensional PBE that predicted a distribution in both particle size and surface area, and implemented them into a FLUENT with the objective of comparing the CPU time requirements in a simple plug flow.…”
Section: Soot Formation and Nanoparticle Synthesismentioning
confidence: 99%