Microcosmic characteristics of particulate matter emitted by GDI gasoline engine in plateau environment

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY

Journal of Computational Methods in Sciences and Engineering Pub Date : 2023-12-15 DOI:10.3233/jcm226978

Jian Zhang, Hao Zhou, Xiaoying Liu, Chao He

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引用次数: 0

Abstract

The particulate matter samples of gasoline direction injection (GDI) gasoline engine obtained from road experiments are photographed to obtain the emission particulate matter images based on the transmission electron microscope under high altitude environment. The results show that the micro-morphology characteristics of the particulate matter emitted by GDI gasoline engine in plateau area are similar to those in low altitude area, and the main morphology is cloud-like, filamentous, flocculent, chain-like, cluster-like, like altitude contour line, etc. The images are processed by MATLAB and Python software, and the fractal dimension, average gray value and gray histogram are obtained. The fractal dimensions of the emission particulate data obtained are between 1.81 and 1.89, which has some deviation compared with the fractal dimension of the emission particulate data at low altitude of 1.58 and 1.80. With the increase of altitude, its fractal dimension increases more obviously. It can be seem from the characteristics of gray value and gray histogram of particle images that the average gray value of GDI gasoline engine particles is higher. The gray histogram distribution of 5–50 nm images is uniform, and the individual particles in the images are clear. The gray histogram of 100–500 nm images is scattered, so it is easy to extract and separate the image edge contour. 5–50 nm images are used to study the details and characteristics of individual particles, and 100–500 nm transmission electron microscope images are used to study the overall morphology of particles.

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高原环境下 GDI 汽油发动机排放颗粒物的微观特征

在高海拔环境下，基于透射电子显微镜对道路试验获得的汽油直喷（GDI）汽油机颗粒物样品进行拍照，获得排放颗粒物图像。结果表明，高原地区 GDI 汽油机排放颗粒物的微观形态特征与低海拔地区相似，主要形态有云雾状、丝状、絮状、链状、团簇状、似海拔等高线等。利用 MATLAB 和 Python 软件对图像进行处理，得到分形维数、平均灰度值和灰度直方图。得到的排放颗粒物数据的分形维数在 1.81 和 1.89 之间，与低海拔排放颗粒物数据的分形维数 1.58 和 1.80 相比有一定偏差。随着海拔的升高，其分形维数的增加更为明显。从颗粒物图像的灰度值和灰度直方图特征可以看出，GDI 汽油机颗粒物的平均灰度值较高。5-50 nm 图像的灰度直方图分布均匀，图像中的颗粒个体清晰。100-500 nm 图像的灰度直方图比较分散，因此很容易提取和分离图像边缘轮廓。5-50 nm 图像用于研究单个颗粒的细节和特征，100-500 nm 透射电子显微镜图像用于研究颗粒的整体形态。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computational Methods in Sciences and Engineering ENGINEERING, MULTIDISCIPLINARY-

CiteScore

0.80

自引率

0.00%

发文量

152

期刊介绍： The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.