Chaotic Diagnostics in a Biodiesel Combustion System Using PLIF and Nonlinear Time Series Analysis^▴

Abstract

The combustion system of biodiesel has complex dynamic characteristics. In this paper, the combustion characteristics and flame stability of gutter oil biodiesel in a biodiesel evaporation combustion system are studied based on chaos identification theory. It aims to analyze the chaotic behavior of OH radical intensity on different equivalence ratio of laminar flame using OH‐PLIF technology with a specific focus on the use of 0–1 test. The results of 0–1 test are compared with those of phase space reconstruction, largest Lyapunov exponent and Fourier spectrum algorithm. The results show that the 0–1 test can be used as an efficient and reliable tool to diagnose the non‐linear dynamic characteristics of biodiesel combustion, and the combustion stability of flame is proportional to the chaotic intensity range. This method has a certain guiding value for identify the optimal combustion state and the most stable flame under different equivalence ratio.