Abstract
ABSTRACT The flame images of three types of fuels (water hyacinth, sawdust, sugarcane single-pellets) were processed in MATLAB, and geometrical features of flames were extracted. Sequence diagrams of flame area, height and width were plotted. Then, the frequency spectra of flame sequences were generated through fast Fourier transform. The geometrical features of all three types of fuels showed no inherent oscillation frequency and were unstable. Then, chaos was identified in the flame sequences of the three types of fuels using the 0–1 test method. Results show that the pc (n)-qc (n) orbit obeys a random Brown motion, Mc (n) linearly increases with time, and Kc approaches 1, indicating the presence of chaos. Finally, such instability was characterized by the maximum Lyapunov exponent (water hyacinth > sawdust > sugarcane), the maximum instantaneous emission of CO is consistent with the maximum Lyapunov exponent value, and the maximum instantaneous emission of CO is consistent with the maximum Lyapunov exponent value, indicating that the instability of the flame is positively correlated with it. This method provides some guidance for the efficient combustion of biomass fuels.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
