Transported probability density function based modelling of soot particle size distributions in non-premixed turbulent jet flames

2019 ◽  
Vol 37 (1) ◽  
pp. 1049-1056 ◽  
Author(s):  
M.A. Schiener ◽  
R.P. Lindstedt
Keyword(s):  
Particle Size ◽  
Probability Density Function ◽  
Probability Density ◽  
Density Function ◽  
Soot Particle ◽  
Turbulent Jet ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Jet Flames ◽  
Turbulent Jet Flames

Soot particle size distributions in premixed stretch-stabilized flat ethylene–oxygen–argon flames

2017 ◽  
Vol 36 (1) ◽  
pp. 1001-1009 ◽  
Author(s):  
Joaquin Camacho ◽  
Ajay V. Singh ◽  
Weijing Wang ◽  
Ruiqin Shan ◽  
Edward K.Y. Yapp ◽  
...  
Keyword(s):  
Particle Size ◽  
Soot Particle ◽  
Size Distributions ◽  
Particle Size Distributions

Soot particle size distributions in premixed flames of RP-3 jet fuel and its distillates

Fuel ◽  
2020 ◽  
Vol 267 ◽  
pp. 117244 ◽  
Author(s):  
Wang Liu ◽  
Xin Liang ◽  
Ang Li ◽  
Baiyang Lin ◽  
He Lin ◽  
...  
Keyword(s):  
Particle Size ◽  
Soot Particle ◽  
Premixed Flames ◽  
Jet Fuel ◽  
Size Distributions ◽  
Particle Size Distributions

Comparison of functions for evaluating the effect of Fe and Al oxides on the particle size distribution of kaolin and quartz

Clay Minerals ◽  
1997 ◽  
Vol 32 (1) ◽  
pp. 3-11 ◽  
Author(s):  
M. Arias ◽  
E. Lopez ◽  
M. T. Barral
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Probability Density ◽  
Size Distribution ◽  
Probability Density Functions ◽  
Density Functions ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Soil Particles ◽  
Quartz Substrates

AbstractAlthough it is generally agreed that Fe and Al can act to bind soil particles, their relative efficiencies as aggregants are still disputed. In this work, the aggregating efficiencies of both aged and non-aged Fe and Al oxides precipitated on kaolin or quartz substrates were characterized by comparing their effects on particle size distributions (PSD). To facilitate comparison of PSD data, these were parameterized by fitting them with five different probability density functions (the normal, lognormal, Jaky, fractal and Rosin-Rammler functions). The best fits were given by the Rosin-Rammler function (R2 = 0.997), whose α parameter was used to compare the aggregating efficiency of Fe and Al oxides: in order of decreasing efficiency, non-aged Al > non-aged Fe ≈ aged Fe > aged Al-precipitates.

Sign in / Sign up

Export Citation Format

Share Document