Abstract
In this paper, the nonlinear dynamic characteristics of the oxygen-enriched combustion of waste oil biodiesel in semi-industrial furnaces were tested by the power spectrum, phase space reconstruction, the largest Lyapunov exponents, and the 0-1 test method. To express the influences of the system parameters, experiments were carried out under different oxygen content conditions (21%, 25%, 28%, 31%, and 33%). Higher oxygen enrichment degrees contribute to finer combustion sufficiency, which produces flames with high luminance. Flame luminance and temperature can be represented by different gray scale values of flame images. The chaotic characteristics of gray scale time series under different oxygen enrichment degrees were studied. With increased oxygen content, the chaotic characteristics of flame gradually developed from weak chaos to strong chaos. Furthermore, the flame maintained a stable combustion process in a high-temperature region. The stronger the chaotic characteristics of the flame, the better the combustion effect. It can be seen that the change of initial combustion conditions has a great influence on the whole combustion process. The results of several chaotic test methods were consistent. Using chaotic characteristics to analyze the waste oil biodiesel combustion process can digitize the combustion process, find the best combustion state, optimize, and precisely control it.
Highlights
In recent years, oil shortages and environmental pollution have become two major challenges of mankind
Conditions, the phase points of the time series show a tendency to approach a certain attractor set, conditions, the phase points of the time series show a tendency to approach a certain attractor set, which indicates indicates that series showed strong chaotic characteristics in the space which that the thegray grayscale scaletime time series showed strong chaotic characteristics inphase the phase after the phase space reconstruction
One was where the image gray scale was greater than 70, and the image presented at this time was all areas of the flame; image gray scale was greater than 70, and the image presented at this time was all areas of the flame; the other was where the gray scale was greater than 170, and the high-temperature combustion area the other was where the gray scale was greater than 170, and the high-temperature combustion area of the flame was presented at this time, with brighter luminance
Summary
Oil shortages and environmental pollution have become two major challenges of mankind. Developing biodiesel has important strategic significance for sustainable economic development, promoting energy substitution, reducing environmental pressure, and controlling urban air pollution [1,2]. As the global demands for environmental protection, energy conservation, and emission reduction become higher, it is urgent to develop a new generation of biodiesel combustion monitoring technology [3]. Energies 2019, 12, 4479 situation, how to preserve normal combustion and extract the information in the combustion process effectively is a difficult problem. At this time, advanced combustion diagnosis technology is critical
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