2005
DOI: 10.1016/j.proci.2004.08.126
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Two-dimensional soot distributions in buoyant turbulent fires

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Cited by 65 publications
(37 citation statements)
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“…Shaddix et al [9,10] exploited these combined measurements to produce a popular database of quantitative soot measurements in laminar hydrocarbon diffusion flames. The same technique was also applied by other researchers in the investigations of various flames, such as laminar diffusion flames [11][12][13], laminar premixed flames [14][15][16] and turbulent diffusion flames [17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Shaddix et al [9,10] exploited these combined measurements to produce a popular database of quantitative soot measurements in laminar hydrocarbon diffusion flames. The same technique was also applied by other researchers in the investigations of various flames, such as laminar diffusion flames [11][12][13], laminar premixed flames [14][15][16] and turbulent diffusion flames [17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Simultaneous measurements of soot and OH [10] or soot and flow velocity [11] provide interesting relations between soot concentration, flame front location and particle residence time, respectively. Such low frame rate measurements do not convey crucial information on soot evolution, which is characterized by strong intermittency and dynamical features [12].…”
Section: Introductionmentioning
confidence: 99%
“…This model parameter describes the momentum/scalar interactions in the flow. The modeling difficulty associated with this parameter is highlighted by the wide range of values from the literature shown in Table 4 [51][52][53][54]. Xin et al [51] used an Sc t value of 0.4 in the simulation of a methane pool fire and stated that Sc t did not have a significant influence on simulation output.…”
Section: Determine I/u Mapmentioning
confidence: 99%