Numerical and Experimental Investigation of Soot Suppression by Acoustic Oscillated Combustion

Abstract

The soot suppression by acoustic oscillations for acetylene diffusion flames was investigated combining numerical and experimental studies. The combustion and soot formation were predicted by the finite-rate detailed chemistry model and modified Moss-Brookes model, respectively, while the turbulence was predicted by the detached eddy simulation (DES) with a low Reynolds number correction. Experimental results showed that the soot rate almost decreased linearly with the amplitude of acoustic oscillation, and the pinch-off of the flame occurred at a large acoustic oscillation. Numerical results showed that the flame structure was well predicted, while the soot rate was over-predicted at large acoustic oscillations; the consumption of O 2 increased obviously with the acoustic oscillation. The soot suppression was mainly caused by the decrease of the surface growth rate when the air was pushed toward the flame.

Soot: A review of computational models at different length scales

“…The numerical simulation of the soot particle evolutions, on the other hand, can provide insights that cannot be observed in experiments, providing a more thorough understanding of the evolution of soot particles under flaming conditions. The numerical modelling of soot particles can be utilised in a wide range of applications, such as investigating soot suppression by acoustic oscillated combustion (Ye et al, 2020), optimising soot formation and emission by altering the injection timing in gasoline direct injection engines (Fontanesi et al, 2021), and the evaluation of smoke control using smoke vents and curtains (Yuen et al, 2019). This review will summarise key computational soot models at different length scales.…”