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    An Optimized Artificial Neural Network Unifying Model for Steady-State Liquid Holdup Estimation in Two-Phase Gas–Liquid Flow 

    Source: Journal of Fluids Engineering:;2018:;volume( 140 ):;issue: 010:;page 101301
    Author(s): Chaari, Majdi; Seibi, Abdennour C.; Hmida, Jalel Ben; Fekih, Afef
    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 ...
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    A Generalized Reduced-Order Dynamic Model for Two-Phase Flow in Pipes 

    Source: Journal of Fluids Engineering:;2019:;volume( 141 ):;issue: 010:;page 101303
    Author(s): Chaari, Majdi; Fekih, Afef; Seibi, Abdennour C.; Ben Hmida, Jalel
    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 ...
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    Low Dimensional Modeling of Transient Two Phase Flow in Pipelines 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2016:;volume( 138 ):;issue: 010:;page 101008
    Author(s): Meziou, Amine; Chaari, Majdi; Franchek, Matthew; Borji, Rafik; Grigoriadis, Karolos; Tafreshi, Reza
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Presented are reducedorder models of onedimensional transient twophase gas–liquid flow in pipelines. The proposed model is comprised of a steadystate multiphase flow mechanistic model in series with a transient singlephase ...
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