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ENCIT 2022

19th Brazilian Congress of Thermal Sciences and Engineering

IMAGE PROCESSING TO CALCULATE THE LIQUID FRACTION OF A TWO-PHASE KEROSENE-WATER FLOW

Submission Author: Tamiris Silva , PR
Co-Authors: Tamiris Silva, Fabio Suguimoto, Marcos Lourenço
Presenter: Alysson Henrique Rublesperger de Almeida

doi://10.26678/ABCM.ENCIT2022.CIT22-0221

 

Abstract

The study of the two-phase liquid-liquid flow is not ample explored when compared to the two-phase gas-liquid flow, however, it is extremely important in several industrial applications, such as in the oil and chemical industry. Thus, it is important that the patterns and geometric arrangements are studied, as well as the contributing factors for those variables, such as the fraction of each liquid present in the pipe, since this parameter can indicate instabilities, and then enable the identification of characteristics of flow patterns. Therefore, it is aimed through digital image processing, to obtain the fraction of each liquid present in an image of a liquid-liquid flow. The analysis is carried out with the “Matlab” software, which receives a two dimensions image of a two-phase water-kerosene flow, and a pre-treatment is executed to provide a better distribution of colors and normalize the histogram of the input data. Then it is implemented the filling of voids and binarization, moreover, the image is transformed into a matrix with three dimensions and submitted to projections to obtain a format similar to the real cylinder of the flow. Finally, the calculation of the liquid fraction is done by counting white and black pixels in the resulting matrix and for this, the fraction is obtained by the ratio of pixels associated with a liquid and the total number of pixels in the matrix, counting a given correction by the circular mask created, in order to preserve the calculation of the liquid fraction in the cylindrical section of interest. It is worth noting that images with different flow rates of liquids are analyzed, all, although, photographed in an acrylic tube with a diameter of 25.4 mm. Thus, this study intends to develop a program capable of estimating the fraction of each liquid in a two-phase liquid-liquid flow without providing initial parameters such as pipe diameter and flow rates, so that the results are obtained only with the use of the image and an autonomous algorithm for application to data obtained under similar conditions of light exposure and viewing.

Keywords

Two-phase Flow, Liquid-liquid flow, Phase Fraction, image processing

 

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