Image processing analysis on the air-water slug two-phase flow in a horizontal pipe

Dinaryanto, Okto; Widyatama, Arif; Majid, Akmal Irfan; Deendarlianto,; Indarto, Indarto

doi:10.1063/1.4949299

Cited by 13 publications

(5 citation statements)

References 16 publications

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“…Under constant J L , the elongated bubble length increases proportionally as the increase of J G . This trend shows good agreement with previous research [8] [20]. …”

Section: Resultssupporting

confidence: 94%

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The Application of Digital Image Processing to Study Slug Flow Characteristics in A Horizontal Pipe

Widyatama¹,

Dinaryanto²,

Indarto³

et al. 2016

IJET

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Abstract-Several flow measurement methods have been developed to get more in depth information of two-phase flow. Digital image processing technique is one of the methods which provide many advantages. It is classified as non-intrusive methods and able to process a large number of images. Furthermore, this technique is also supported by the flexible algorithm and advanced technology in high speed camera. In slug flow, the presence of small bubble become one of the biggest challenges since it can distract slug interface. This work explains image processing procedures to get clear interface between the gas and liquid phase on horizontal slug flow. Then the image processing technique was applied to a set of slug flow data. The experiment was conducted in a horizontal pipeline with 50 mm inner diameter using the combination of superficial liquid velocity 0.2-0.77 m/s and superficial gas velocity 0.7 -1.88 m/s. The flow was recorded using high speed video camera and extracted into images sequence. Next, applied algorithm is well explained and the example of image processing result is presented. When the interface is clear, some slug flow parameter can be calculated like its velocity, length, and frequency. This method is able to reveal the effect of liquid superficial velocity and gas superficial velocity on slug flow parameter. Moreover, present data is also compared with previous research and shows good agreement.

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“…Under constant J L , the elongated bubble length increases proportionally as the increase of J G . This trend shows good agreement with previous research [8] [20]. …”

Section: Resultssupporting

confidence: 94%

“…Then the selected images were processed using MATLAB through algorithm programs. Our previous work [8], have used this method in order to determine slug parameter in 26 mm inner diameter pipe. In this works, those steps are explained well and followed by a number of improvement.…”

Section: Image Processing Proceduresmentioning

confidence: 99%

The Application of Digital Image Processing to Study Slug Flow Characteristics in A Horizontal Pipe

Widyatama¹,

Dinaryanto²,

Indarto³

et al. 2016

IJET

Self Cite

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“…Kecepatan ini didapat dari variable jarak perpindahan gelembung gas terhadap variable waktu tempuhnya [11]. Kecepatan slug dapat dihitung menggunakan metode image processing dari Program MATLAB, yaitu dengan cara mendapatkan nilai letak x yang merupakan selisih jarak pixel antara posisi pixel centroid dari masing-masing slug gas yang terdeteksi dari hasil image processing dengan pxel pertama pada gambar [12].…”

Section: Kecepatan Slugunclassified

ANALISA KECEPATAN SLUG ALIRAN DUA FASE DI DOWNSTREAM T-JUNCTION MINICHANNEL HORIZONTAL DENGAN RADIUS BELOKAN (r/dh) 0.7

Dharma

Dwiputri²,

Nugroho³

et al. 2023

JRM

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Uneven distribution of the phases between in the main channel when two-phase flow passes through the T-junction it can cause the formation of slug flow which affects performance in the downstream area. The slug is formed due to the acceleration of the gas phase moving towards an average or stable velocity. The bend radius of the T-junction affects the formation of slug because the radius can increase the velocity of the gas phase. Research on the slug velocity was carried out in the downstream region of the horizontal mini channel T-junction. The working fluid used is air as the gas phase and water. The flow pattern and velocity slug analysis were carried out by visualizing the flow at a distance of ±30 mm from the T-junction, that works as a mixer of the working fluid. High-speed camera is used to record video and processed in the form of image processing with the MATLAB program. Two-phase flow slug velocity analysis conducted in the downstream area of the horizontal minichannel T-junction, it can be concluded that the slug velocity tends to increase linearly with increasing superficial velocity of air and water. Comparison of slug velocity experimentally with the results of calculations using the equations of Fukano and Kariyasaki (1993) and Sudarja et al (2018) shows conformity with less than 10% of error margin, while Nicklin et al (1962) is ±30%.

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“…The image was inserted into PowerPoint document, and the artistic effect of "Photocopy" or "Lighting Edge" in the "Set Image Format" menu bar was selected to automatically recognize and enhance edges of the bubbles and fade other parts of the picture (Figure 3c). 25,26 The quick selection tool of Photoshop was used to cut out the bubbles in the pictures (Figure 3d,f), and the cutouts were added to a pure blue background (Figure 3e,g). The histogram tool was used to analyze the pixel number of the bubbles on and near the anode (nonblue part of Figure 3e) and cathode (nonblue part of Figure 3g), and the ratio was calculated.…”

Section: ■ Experiments and Pedagogymentioning

confidence: 99%

Using Image Recognition and Processing Technology to Measure the Gas Volume in a Miniature Water Electrolysis Device Constructed with Simple Materials

Ling

Chen

et al. 2020

J. Chem. Educ.

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This paper proposes an experiment in which students build microdevices for conveniently electrolyzing water and use image recognition and processing technology to measure the volume of gas generated during the reaction in a noncontact way. Taking advantage of three ratio relationships between (i) gas volume and the area of bubbles, (ii) the factual size and the size on the picture, and (iii) the area on the picture and the pixel number, the experiment converts the measurement of trace gas volume into measurement of bubbles’ pixel number on the picture, which simplifies the complex problem. The device includes pencil refills as the electrodes, compressing the reaction space in the interval between two glass slides to squeeze the gas generated into flat-cylinder shaped bubbles with a fixed height. The students use a smartphone to take pictures and use software to process the images. Briefly, edges of bubbles are recognized and enhanced by PowerPoint, followed by a cutout process by Photoshop to get the bubbles’ image without the background; a histogram tool is then used for analyzing the pixel number of bubbles to finally get the volume of hydrogen and oxygen. Results of the survey among participating students proved the pedagogical effectiveness of this project.

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Image processing analysis on the air-water slug two-phase flow in a horizontal pipe

Cited by 13 publications

References 16 publications

The Application of Digital Image Processing to Study Slug Flow Characteristics in A Horizontal Pipe

The Application of Digital Image Processing to Study Slug Flow Characteristics in A Horizontal Pipe

ANALISA KECEPATAN SLUG ALIRAN DUA FASE DI DOWNSTREAM T-JUNCTION MINICHANNEL HORIZONTAL DENGAN RADIUS BELOKAN (r/dh) 0.7

Using Image Recognition and Processing Technology to Measure the Gas Volume in a Miniature Water Electrolysis Device Constructed with Simple Materials

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