An artificial neural network model for the prediction of entrained droplet fraction in annular gas-liquid two-phase flow in vertical pipes

Engineering & Materials Science

• Two phase flow 69%
• Pipe 51%
• Liquids 45%
• Neural networks 41%
• Gases 38%
• Pressure drop 15%
• Sensitivity analysis 14%
• Viscosity of gases 13%
• Density of liquids 12%
• Viscosity of liquids 12%
• Density of gases 12%
• Large dataset 9%
• Surface tension 8%
• Boiling liquids 8%
• Neurons 7%
• Machine learning 6%
• Heat transfer 5%
• Oils 5%
• Fluids 5%

Physics & Astronomy

• two phase flow 71%
• predictions 36%
• liquids 36%
• gases 34%
• sensitivity analysis 23%
• pressure drop 21%
• gas viscosity 15%
• machine learning 12%
• two fluid models 12%
• experimentation 11%
• liquid surfaces 11%
• gas density 11%
• liquid flow 10%
• neurons 9%
• boiling 9%
• closures 9%
• oils 8%
• interfacial tension 8%
• discontinuity 8%
• heat transfer 7%
• viscosity 6%
• output 5%

Chemistry

• Two-Phase Flow 100%
• Liquid 36%
• Pressure Drop 28%
• Gas 23%
• Flow 14%
• Heat Transfer 12%
• Boiling 11%
• Velocity 9%
• Amount 4%
• Application 3%