Effects of combustion models on soot formation and evolution in turbulent nonpremixed flames

2019 ◽  
Vol 37 (1) ◽  
pp. 985-992 ◽  
Author(s):  
Wang Han ◽  
Venkat Raman ◽  
Michael E. Mueller ◽  
Zheng Chen
Keyword(s):  
Soot Formation ◽  
Nonpremixed Flames ◽  
Combustion Models ◽  
Formation And Evolution ◽  
Turbulent Nonpremixed

Damköhler number effects on soot formation and growth in turbulent nonpremixed flames

2015 ◽  
Vol 35 (2) ◽  
pp. 1215-1223 ◽  
Author(s):  
Antonio Attili ◽  
Fabrizio Bisetti ◽  
Michael E. Mueller ◽  
Heinz Pitsch
Keyword(s):  
Soot Formation ◽  
Nonpremixed Flames ◽  
Damkohler Number ◽  
Damköhler Number ◽  
Turbulent Nonpremixed

Kinetic Modeling of Soot Formation in Turbulent Nonpremixed Flames

2008 ◽  
Vol 25 (10) ◽  
pp. 1407-1422 ◽  
Author(s):  
Alberto Cuoci ◽  
Alessio Frassoldati ◽  
Tiziano Faravelli ◽  
Eliseo Ranzi
Keyword(s):  
Kinetic Modeling ◽  
Soot Formation ◽  
Nonpremixed Flames ◽  
Turbulent Nonpremixed

Lagrangian particle tracking with new weighted fraction Monte Carlo method for studying the soot particle size distributions in premixed flames

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiao Jiang ◽  
Tat Leung Chan
Keyword(s):  
Particle Size ◽  
Monte Carlo ◽  
Soot Formation ◽  
Particle Size Distributions ◽  
Lagrangian Particle ◽  
Content Type ◽  
Soot Particles ◽  
Stochastic Error ◽  
Formation And Evolution ◽  
Size Interval

Purpose The purpose of this paper is to study the soot formation and evolution by using this newly developed Lagrangian particle tracking with weighted fraction Monte Carlo (LPT-WFMC) method. Design/methodology/approach The weighted soot particles are used in this MC framework and is tracked using Lagrangian approach. A detailed soot model based on the LPT-WFMC method is used to study the soot formation and evolution in ethylene laminar premixed flames. Findings The LPT-WFMC method is validated by both experimental and numerical results of the direct simulation Monte Carlo (DSMC) and Multi-Monte Carlo (MMC) methods. Compared with DSMC and MMC methods, the stochastic error analysis shows this new LPT-WFMC method could further extend the particle size distributions (PSDs) and improve the accuracy for predicting soot PSDs at larger particle size regime. Originality/value Compared with conventional weighted particle schemes, the weight distributions in LPT-WFMC method are adjustable by adopting different fraction functions. As a result, the number of numerical soot particles in each size interval could be also adjustable. The stochastic error of PSDs in larger particle size regime can also be minimized by increasing the number of numerical soot particles at larger size interval.

Soot formation and evolution characteristics in premixed methane/ethylene-oxygen-argon burner-stabilized stagnation flames

Fuel ◽  
2019 ◽  
Vol 242 ◽  
pp. 871-882 ◽  
Author(s):  
Shuyuan Liu ◽  
Tat Leung Chan ◽  
Zhu He ◽  
Yinyin Lu ◽  
Xiao Jiang ◽  
...  
Keyword(s):  
Soot Formation ◽  
Evolution Characteristics ◽  
Formation And Evolution
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