GAS-LIQUID FLOW PATTERN RECOGNITION USING DIMENSIONLESS NUMBERS

2019 ◽  
Author(s):  
Caio Araujo ◽  
Tiago Ferreira Souza ◽  
Maurício Figueiredo ◽  
valdir estevam ◽  
Ana Maria Frattini Fileti
Keyword(s):  
Pattern Recognition ◽  
Flow Pattern ◽  
Liquid Flow ◽  
Dimensionless Numbers ◽  
Gas Liquid Flow

scholarly journals Gas–liquid Flow Pattern Recognition Based on Wavelet Packet Energy Entropy of Vortex-induced Pressure Fluctuation

2013 ◽  
Vol 13 (2) ◽  
pp. 83-88 ◽  
Author(s):  
Zhiqiang Sun ◽  
Shuai Shao ◽  
Hui Gong
Keyword(s):  
Pattern Recognition ◽  
Flow Pattern ◽  
Liquid Flow ◽  
Pressure Fluctuation ◽  
Bluff Body ◽  
Flow Direction ◽  
Wavelet Packet ◽  
Flow Patterns ◽  
Energy Entropy ◽  
Gas Liquid Flow

Here we report a novel flow-pattern map to distinguish the gas-liquid flow patterns in horizontal pipes at ambient temperature and atmospheric pressure. The map is constructed using the coordinate system of wavelet packet energy entropy versus total mass flow rate. The wavelet packet energy entropy is obtained from the coefficients of vortex-induced pressure fluctuation decomposed by the wavelet packet transform. A triangular bluff body perpendicular to the flow direction is employed to generate the pressure fluctuation. Experimental tests confirm the suitability of the wavelet packet energy entropy as an ideal indicator of the gas-liquid flow patterns. The overall identification rate of the map is 92.86%, which can satisfy most engineering applications. This method provides a simple, practical, and robust solution to the problem of gas-liquid flow pattern recognition.

Crisp and Fuzzy Classifiers in the Two-Phase Gas-Liquid Flow Diagnostics

2012 ◽  
Vol 17 (4) ◽  
pp. 385-394
Author(s):  
Paweł Fiderek ◽  
Tomasz Jaworski ◽  
Robert Banasiak ◽  
Jacek Kucharski
Keyword(s):  
Pattern Recognition ◽  
Flow Pattern ◽  
Liquid Flow ◽  
Confusion Matrix ◽  
Clustering Algorithms ◽  
Prediction Performance ◽  
Two Phase ◽  
Fuzzy Classifiers ◽  
Gas Liquid Flow ◽  
Liquid Flows

Abstract The following paper presents results of common clustering algorithms use, both crisp and fuzzy, for flow pattern recognition of two-phase gas-liquid flows observed in horizontal pipeline. Obtained results of HCM, FCM, and kNN clustering algorithms were presented in a form of confusion matrix and compared via its prediction performance.

GAS-LIQUID FLOW-PATTERN TRANSITION IN HORIZONTAL PIPES – ANALYSIS OF REPORTED MODELS

2018 ◽  
Author(s):  
André Mendes Quintino ◽  
Davi Lotfi Lavor Navarro da Rocha ◽  
Oscar Mauricio Hernandez Rodriguez
Keyword(s):  
Flow Pattern ◽  
Liquid Flow ◽  
Horizontal Pipes ◽  
Flow Pattern Transition ◽  
Gas Liquid Flow

Effect of SDBS surfactant on gas–liquid flow pattern and pressure drop in upward-inclined pipelines

2021 ◽  
pp. 110507
Author(s):  
Pengbo Yin ◽  
Pan Zhang ◽  
Xuewen Cao ◽  
Xiang Li ◽  
Yuhao Li ◽  
...  
Keyword(s):  
Pressure Drop ◽  
Flow Pattern ◽  
Liquid Flow ◽  
Gas Liquid Flow

Influence of trickling liquid velocity, low molar ratio of nitrogen/sulfur and gas-liquid flow pattern in anoxic biotrickling filters for biogas desulfurization

2019 ◽  
Vol 148 ◽  
pp. 205-213 ◽  
Author(s):  
Patricio I. Cano ◽  
Javier Brito ◽  
Fernando Almenglo ◽  
Martín Ramírez ◽  
Jose M. Gómez ◽  
...  
Keyword(s):  
Flow Pattern ◽  
Liquid Flow ◽  
Liquid Velocity ◽  
Molar Ratio ◽  
Biotrickling Filters ◽  
Gas Liquid Flow
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