Analysis method for coaxial diffusion flame soot micro-nano structure of hydrocarbon fuel

Abstract

The invention discloses an analysis method for the coaxial diffusion flame soot micro-nano structure of the hydrocarbon fuel and belongs to the field of soot particle structure analysis. According tothe invention, for a shot HRTEM image, the HRTEM image is extracted; the processing is carried out through Matlab software; the characteristic parameters of the soot micro-nano structure are extracted, wherein the characteristic parameter extraction specifically comprises the following steps of selecting a research area, performing histogram equalization, performing Gaussian low-pass filtering, performing bottom cap transformation, performing binaryzation, performing skeletonization, performing additional morphological operation, and finally extracting the characteristic parameters of the sootmicro-nano structure through calculation: microcrystalline length L, microcrystalline curvature T and interlayer spacing D. According to the analysis method disclosed by the invention, the stripes with similar directions are automatically selected. Compared with manual calculation, the operation speed is increased. The microcrystalline stripes with larger separation distances are prevented from being omitted, and the accuracy of an actual result is not influenced.

Description

technical field [0001] The invention belongs to the field of soot particle structure analysis, and more specifically relates to a method for analyzing the micro-nano structure of soot in a hydrocarbon fuel coaxial diffusion flame. Background technique [0002] At present, the main source of my country's energy consumption is hydrocarbon fuels, and combustion is one of the main means for human beings to use energy. The impact of soot particles emitted by combustion on the environment and human health has attracted more and more attention. Particulate emissions are also formulated related policies. A deep understanding of the formation and evolution mechanism of soot particles in the combustion process plays an important role in controlling the emission of pollutants, so that corresponding control strategies can be put forward in terms of principles to achieve low soot particle emissions. At present, scholars at home and abroad have done a lot of work on the formation mechanis...

AI Technical Summary

Problems solved by technology

The image Gabor filter method, local threshold method, and improved OPTA method are used to extract three parameters of particle microstructure characteristics to evaluate particle microstructure characteristics. However, this method manually selects stripes and then automatically calculates the layer spacing. The processing efficiency is greatly reduced, and manual selection is not easy to control

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