数字图像处理方法在喷雾表征中的应用

2019 6th International Conference on Signal Processing and Integrated Networks (SPIN) Pub Date : 2019-03-07 DOI:10.1109/SPIN.2019.8711785

Mohammed Sahal, D. Mishra, N. Gupta, R. Sadanandan

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引用次数: 1

摘要

从洒水器到运载火箭的燃烧装置，液体喷射器的应用数不胜数。由于不可再生能源的使用，全球正在朝着改进现有燃烧系统的方向发展。燃油喷射特性影响燃油效率和燃油排放。用于捕捉喷雾特征信息的技术之一是高速阴影成像。所需参数的估计需要对图像序列进行分析。一种自动化的方法取代了累人的人工计算，使它成为几秒钟的工作。本研究使用基本的图像处理工具来简化计算。

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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Application of Digital Image Processing Method for Spray Characterization

From water sprinklers to combustion devices of launch vehicles, the applications of the liquid injectors are innumerable. Owing to the usage of non-renewable sources, there is a global movement towards improvement in the existing combustion systems. Efficiency and fuel emissions are influenced by fuel spray characteristics. One of the techniques used to capture the information on spray characteristics is highspeed shadowgraphy. Estimation of the required parameters needs analysis of image series. An automated method to replace tiring manual calculations makes it the job of a few seconds. The basic tools of image processing are employed in this study to ease the computation.

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来源期刊

2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)

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