Results 1 to 10 of about 30,981 (205)

Numerical Gas–Liquid Two-Phase Flow Regime Identification in a Horizontal Pipe Using Dynamic Pressure Data

Applied Sciences, 2023
Gas–liquid two-phase flow is very common in industrial pipelines. Flow regime identification is the first step to design, analyze, and operate the gas–liquid system successfully. The purpose of this study is to develop a methodology for identification of
Umair Khan, William Pao, Nabihah Sallih
doaj   +2 more sources

Pseudo-image-feature-based identification benchmark for multi-phase flow regimes [PDF]

Chemical Engineering Journal Advances, 2021
Multiphase flow is a prevalent topic in many disciplines, and flow regime identification is an essential foundation in multiphase flow research. Computer vision and deep learning have achieved numerous excellent models, but many have not demonstrated ...
Boyu Kuang, Somtochukwu Godfrey Nnabuife, Zeeshan Rana   +2 more
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Unsupervised learning for classification of flow regime in high-pressure gas-liquid two-phase flow including transition region

Nihon Kikai Gakkai ronbunshu, 2022
The MH21-S R&D consortium (MH21-S), supported by the Ministry of Economy, Trade, and Industry (METI), is currently developing the commercial production process of methane gas from methane hydrate. In order to develop the gas production method through
Naoto SHIBATA, Shuichiro MIWA, Kazuhiro SAWA, Tetsuro MURAYAMA, Masahiro TAKAHASHI, Norio TENMA   +5 more
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Convolutional Neural Networks and Feature Fusion for Flow Pattern Identification of the Subsea Jumper

Applied Sciences, 2023
The gas–liquid two-phase flow patterns of subsea jumpers are identified in this work using a multi-sensor information fusion technique, simultaneously collecting vibration signals and electrical capacitance tomography of stratified flow, slug flow ...
Shanying Lin, Jialu Xu, Shengnan Liu, Muk Chen Ong, Wenhua Li   +4 more
doaj   +1 more source

Multi-electrode impedance void fraction method by Hilbert-Schmidt independence criterion (HSIC) lasso and plural long short-term memory (pLSTM)

Nihon Kikai Gakkai ronbunshu, 2021
Hilbert-Schmidt independence criterion least absolute shrinkage and selection operator (HSIC Lasso) and plural long short-term memory (pLSTM) has been implemented in a multi-electrode impedance meter (MIM) to estimate void fraction α^ accurately in ...
Koji TANAKA, Yosephus Ardean Kurnianto PRAYITNO, Prima Asmara SEJATI, Daisuke KAWASHIMA, Masahiro TAKEI   +4 more
doaj   +1 more source

Gas-liquid flow regimes identification using non-intrusive Doppler ultrasonic sensor and convolutional recurrent neural networks in an s-shaped riser

Digital Chemical Engineering, 2022
The problem of gas-liquid (two-phase) flow regime identification in an S-shaped riser using an ultrasonic sensor and convolutional recurrent neural networks (CRNN) is addressed.
Boyu Kuang, Somtochukwu Godfrey Nnabuife, Shuang Sun, James F. Whidborne, Zeeshan A. Rana   +4 more
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Mass Transport in Membrane Systems: Flow Regime Identification by Fourier Analysis

Fluids, 2022
The numerical calculation of local mass distributions in membrane systems by computational fluid dynamics (CFD) offers indispensable benefits. However, the concept to calculate such distributions in response to separate variations of operation conditions
Stefan Heinz, Jakob Heinz, Jonathan A. Brant   +2 more
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Machine Learning Based Flow Regime Identification using Ultrasonic Doppler Data and Feature Relevance Determination

Digital Chemical Engineering, 2022
Machine learning approaches are now being used in the process industries to objectively classify two-phase flow regimes in pipes such as into bubbly, slugging, churning, or annular flow.
Ricardo Roxas  II, Matthew Angelo Evangelista, Jalen Aeron Sombillo, Somtochukwu Godfrey Nnabuife, Karl Ezra Pilario   +4 more
doaj   +1 more source

Dataset of flow experiment: Effects of density, viscosity and surface tension on flow regimes and pressure drop of two-phase flow in horizontal pipes

Data in Brief, 2021
The dataset associate with the report is the flow experiment data acquired to evaluate the effect of density, viscosity, and surface tension on flow regime and pressure drop of two-phase flow in a horizontal pipe.
Ala S. AL-Dogail, Rahul N. Gajbhiye
doaj   +1 more source

Flow Regime, Slug Frequency and Wavelet Analysis of Air/Newtonian and Air/non-Newtonian Two-Phase Flow

Applied Sciences, 2020
This study focused on gas/Newtonian and gas/non-Newtonian two-phase horizontal fluid flow behavior by analyzing their flow regime identification and flow structural analysis on a horizontal flow loop apparatus.
Munzarin Morshed, Muhammad Saad Khan, Mohammad Azizur Rahman, Syed Imtiaz   +3 more
doaj   +1 more source