In this study, the 0-1 test method is combined with the maximum Lyapunov index to analyze the influence of pellet length (10, 15, 20 mm) and combustion air supply (60, 90, 120 L/h) on the flame instability of multi-particle water hyacinth. Flame areas of water hyacinth fuel combustion and CO emissions were detected respectively by a high-speed camera and a gas analyzer. Flame area time series and frequency-domain plots showed the flames had no inherent oscillation frequency and were unstable. Then chaos identification based on 0-1 testing demonstrated the p(c)(n)-q(c)(n) orbits obeyed random Brown motion, M-c(n) linearly increased with time, and K-c approached 1, which indicated the presence of chaos. Statistics of the maximum Lyapunov exponent showed the flame instability index minimized when the pellet length was 10 mm and the air quantity was 90 L/h. Calculation of range R implied that pellet length was the major influence factor on flame instability. Person correlation analysis revealed that CO emissions and maximum Lyapunov exponent were positively and significantly correlated, with a correlation coefficient of 0.867. This study concerning the relationship between flame instability and CO emission is valuable for combustion control and prediction.
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