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An Optimized Artificial Neural Network Unifying Model for Steady-State Liquid Holdup Estimation in Two-Phase Gas–Liquid Flow
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Simplifying assumptions and empirical closure relations are often required in existing two-phase flow modeling based on first-principle equations, hence limiting its prediction accuracy and in some instances compromising ...
A Generalized Reduced-Order Dynamic Model for Two-Phase Flow in Pipes
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Real-time monitoring of pressure and flow in multiphase flow applications is a critical problem given its economic and safety impacts. Using physics-based models has long been computationally expensive due to the ...