Effects of large-scale vortical structures on microgravity laminar diffusion flames

2000 ◽  
Author(s):  
M. Bahadori ◽  
U. Hedge ◽  
D. Stocker
Keyword(s):  
Large Scale ◽  
Diffusion Flames ◽  
Vortical Structures ◽  
Laminar Diffusion Flames ◽  
Laminar Diffusion

Soot graphitic order in laminar diffusion flames and a large-scale JP-8 pool fire

2005 ◽  
Vol 48 (17) ◽  
pp. 3604-3614 ◽  
Author(s):  
Christopher R. Shaddix ◽  
Árpád B. Palotás ◽  
Constantine M. Megaridis ◽  
Mun Y. Choi ◽  
Nancy Y.C. Yang
Keyword(s):  
Large Scale ◽  
Diffusion Flames ◽  
Pool Fire ◽  
Laminar Diffusion Flames ◽  
Laminar Diffusion

scholarly journals The influence of aliphatics on soot inception modelling

2021 ◽  
Author(s):  
Nemanja Ceranic
Keyword(s):  
Volume Fraction ◽  
Diffusion Flames ◽  
Soot Formation ◽  
Fluid Dynamic ◽  
Soot Volume Fraction ◽  
Surface Reactivity ◽  
Complex Nature ◽  
Laminar Diffusion Flames ◽  
Laminar Diffusion ◽  
Polycyclic Aromatic

Soot models have been investigated for several decades and many fundamental models exist that prescribe soot formation in agreement with experiments and theories. However, due to the complex nature of soot formation, not all pathways have been fully characterized. This work has numerically studied the influence that aliphatic based inception models have on soot formation for coflow laminar diffusion flames. CoFlame is the in-house parallelized FORTRAN code that was used to conduct this research. It solves the combustion fluid dynamic conservation equations for a variety of coflow laminar diffusion flames. New soot inception models have been developed for specific aliphatics in conjunction with polycyclic aromatic hydrocarbon based inception. The purpose of these models was not to be completely fundamental in nature, but more so a proof-of-concept in that an aliphatic based mechanism could account for soot formation deficiencies that exist with just PAH based inception. The aliphatic based inception models show potential to enhance predicative capability by increasing the prediction of the soot volume fraction along the centerline without degrading the prediction along the pathline of maximum soot. Additionally, the surface reactivity that was used to achieve these results lied closer in the range of numerically derived optimal values as compared to the surface reactivity that was needed to match peak soot concentrations without the aliphatic based inception models.

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