Droplet Sizing in the Spray of a Fuel Injector Using Wavelet Analysis

21st Winter School on Continuous Media Mechanics

计算机技术

Stepanov, R.^1 ; Batalov, V.^1 ; Sukhanovskii, A.^1

Institute of Continuous Media Mechanics, Academic Korolyov 1, Perm

614013, Russia^1

关键词: Cross validation;    Estimation algorithm;    Inhomogeneous structure;    Interferometric particle imaging;    Liquid droplets;    Measurements of;    Selection criteria;    Wavelet processing;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/581/1/012042/pdf
DOI  :  10.1088/1757-899X/581/1/012042

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The paper discusses the applied methods for studying the structure of the two-phase flow. Measurements of the size of liquid droplets in a spray of fuel injector were carried out using two methods: Interferometric Particle Imaging (IPI) and Glare Point Technique (GPT). The combined use of these methods allows to significantly expand the range of measured droplet sizes, and also provides an opportunity for cross-validation of methods and determining the level of errors. In this paper, we tested the IPI method using wavelet processing of interference drop images. As a result, it was shown that IPI images can have a highly inhomogeneous structure. This leads to a considerable variation in the period of the IPI-image and, as a consequence, to an increase of the error in determining the drop size. The proposed error estimation algorithm allows one to introduce an additional selection criterion and obtain statistically comparable results obtained by the IPI and GPT methods.