4.6 Article

Gas liquid cylindrical cyclone flow regime identification using machine learning combined with experimental mechanism explanation

Related references

Note: Only part of the references are listed.
Article Energy & Fuels

A statistical method for flow pattern and efficiency prediction using pressure drop in a two-stage gas liquid cylindrical cyclone

Zhaoming Yang et al.

Summary: An experimental investigation on a novel gas-liquid separator called Two-stage Gas Liquid Cylindrical Cyclone (TGLCC) is conducted to observe flow patterns and measure separation efficiency/pressure drop. The presence of the vertical pipe before the TGLCC inlet affects the evolution process of inlet flow patterns. A statistical method using box plot analysis is proposed to predict flow patterns based on pressure drop data, with an accuracy of 98%. The analysis also shows that the separation efficiency of TGLCC is heavily influenced by flow pattern evolutions, and the statistical method predicts the separation efficiency with an accuracy of 93.4%.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2022)

Article Thermodynamics

Prediction of tubular solar still performance by machine learning integrated with Bayesian optimization algorithm

Yunpeng Wang et al.

Summary: This study developed accurate and convenient prediction models of tubular solar still performance using machine learning, with random forest showing superior performance in predicting hourly production. Bayesian optimization significantly improved the performance of artificial neural network, and optimization findings revealed that random forest was less sensitive to hyper parameters than artificial neural network.

APPLIED THERMAL ENGINEERING (2021)

Article Thermodynamics

A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting

Mohamed Massaoudi et al.

Summary: This paper introduces an effective computing framework for Short-Term Load Forecasting (STLF) using stacked generalization approach with three models, demonstrating its performance through validation and contributions in novel algorithm, effective technique, critical analysis for hyperparameter optimization, and comparative study.

ENERGY (2021)

Article Mechanics

Decay law and swirl length of swirling gas-liquid flow in a vertical pipe

Li Liu et al.

Summary: Decaying swirling flow induced by a vane-type swirler in a vertical pipe is experimentally and theoretically studied in this paper. Four swirling flow patterns are recognized at the swirler outlet, with swirl length prediction models proposed and reasonably correlated with experimental data.

INTERNATIONAL JOURNAL OF MULTIPHASE FLOW (2021)

Article Thermodynamics

Measurement of thickness and analysis on flow characteristics of upper swirling liquid film in gas-liquid cylindrical cyclone

Ya-An Wang et al.

Summary: The study focused on investigating the flow characteristics of upper swirling liquid film in a gas-liquid cylindrical cyclone, with the liquid film thickness increasing linearly with liquid velocity and presenting an approximately S-shaped distribution with gas velocity. The experimental results contribute to a deeper understanding of the separation performance of the gas-liquid cylindrical cyclone.

EXPERIMENTAL THERMAL AND FLUID SCIENCE (2021)

Article Engineering, Chemical

Study of identification of global flow regime in a long pipeline transportation system

Qiang Xu et al.

POWDER TECHNOLOGY (2020)

Article Engineering, Chemical

A mechanistic model for the prediction of swirling annular flow pattern transition

Li Liu et al.

CHEMICAL ENGINEERING SCIENCE (2019)

Article Engineering, Mechanical

Identification of gas-liquid flow regimes using a non-intrusive Doppler ultrasonic sensor and virtual flow regime maps

Somtochukwu Godfrey Nnabuife et al.

FLOW MEASUREMENT AND INSTRUMENTATION (2019)

Article Thermodynamics

Machine learning classification of boiling regimes with low speed, direct and indirect visualization

Gustavo M. Hobold et al.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2018)

Article Energy & Fuels

Foam break-up under swirling flow in inlet cyclone and GLCC(C)

Jose Antonio Moncayo et al.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2018)

Article Engineering, Multidisciplinary

The measurement of gas-liquid two-phase flows in a small diameter pipe using a dual-sensor multi-electrode conductance probe

Lu-Sheng Zhai et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2016)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Review Multidisciplinary Sciences

Machine learning: Trends, perspectives, and prospects

M. I. Jordan et al.

SCIENCE (2015)

Article Mechanics

On the effect of the nozzle design on the performances of gas-liquid cylindrical cyclone separators

Rainier Hreiz et al.

INTERNATIONAL JOURNAL OF MULTIPHASE FLOW (2014)

Article Physics, Multidisciplinary

Quantum Support Vector Machine for Big Data Classification

Patrick Rebentrost et al.

PHYSICAL REVIEW LETTERS (2014)

Article Computer Science, Artificial Intelligence

Prediction of flow pattern of gas-liquid flow through circular microchannel using probabilistic neural network

Seim Timung et al.

APPLIED SOFT COMPUTING (2013)

Article Computer Science, Artificial Intelligence

Bagging schemes on the presence of class noise in classification

Joaquin Abellan et al.

EXPERT SYSTEMS WITH APPLICATIONS (2012)

Article Thermodynamics

Flow regime development analysis in adiabatic upward two-phase flow in a vertical annulus

J. Enrique Julia et al.

INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW (2011)

Article Nuclear Science & Technology

Non-invasive on-line two-phase flow regime identification employing artificial neural networks

T. Tambouratzis et al.

ANNALS OF NUCLEAR ENERGY (2009)

Article Engineering, Multidisciplinary

Identification of two-phase flow regimes based on support vector machine and electrical capacitance tomography

H. X. Wang et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2009)

Article Engineering, Mechanical

Identification of gas/liquid two-phase flow regime through ERT-based measurement and feature extraction

Chao Tan et al.

FLOW MEASUREMENT AND INSTRUMENTATION (2007)

Article Nuclear Science & Technology

Classification of two-phase flow regimes via image analysis and a neuro-wavelet approach

C Sunde et al.

PROGRESS IN NUCLEAR ENERGY (2005)

Article Engineering, Petroleum

Liquid carry-over in gas/liquid cylindrical cyclone compact separators

WA Chirinos et al.

SPE JOURNAL (2000)