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Jalel Ben Hmida
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Proceedings Papers

Experimental Investigation and Data Analytics of Annular Cutting Velocity in Inclined and Horizontal Pipes

Abdennour C. Seibi, Brandon Salazar, Jalel Ben Hmida, Gordon Guillory
Proc. ASME. IMECE2020, Volume 10: Fluids Engineering, V010T10A054, November 16–19, 2020
Paper No: IMECE2020-24203
DOI: https://doi.org/10.1115/IMECE2020-24203
View Paper titled, Experimental Investigation and Data Analytics of Annular Cutting Velocity in Inclined and Horizontal Pipes
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Topics: Cutting, Pipes, Sensitivity analysis
Journal Articles

A Generalized Reduced-Order Dynamic Model for Two-Phase Flow in Pipes

Majdi Chaari, Afef Fekih, Abdennour C. Seibi, Jalel Ben Hmida
Journal: Journal of Fluids Engineering
Article Type: Research-Article
J. Fluids Eng. October 2019, 141(10): 101303.
Paper No: FE-18-1872
DOI: https://doi.org/10.1115/1.4043858
Published Online: June 20, 2019
View Article titled, A Generalized Reduced-Order Dynamic Model for Two-Phase Flow in Pipes
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Topics: Flow (Dynamics), Fluids, Modeling, Pipes, Pressure, Steady state, Transients (Dynamics), Artificial neural networks, Two-phase flow, Bulk modulus
Journal Articles

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

Majdi Chaari, Abdennour C. Seibi, Jalel Ben Hmida, Afef Fekih
Journal: Journal of Fluids Engineering
Article Type: Research-Article
J. Fluids Eng. October 2018, 140(10): 101301.
Paper No: FE-17-1640
DOI: https://doi.org/10.1115/1.4039710
Published Online: May 2, 2018
View Article titled, An Optimized Artificial Neural Network Unifying Model for Steady-State Liquid Holdup Estimation in Two-Phase Gas–Liquid Flow
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Topics: Artificial neural networks, Flow (Dynamics), Pipes, Multiphase flow, Databases, Steady state
Proceedings Papers

Steady-State Pressure Drop for Two-Phase Flow in Pipelines: An Integrated Genetic Algorithm-Artificial Neural Network Approach

Majdi Chaari, Jalel Ben Hmida, Abdennour C. Seibi, Afef Fekih
Proc. ASME. IMECE2017, Volume 7: Fluids Engineering, V007T09A009, November 3–9, 2017
Paper No: IMECE2017-71854
DOI: https://doi.org/10.1115/IMECE2017-71854
View Paper titled, Steady-State Pressure Drop for Two-Phase Flow in Pipelines: An Integrated Genetic Algorithm-Artificial Neural Network Approach
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Topics: Algorithms, Artificial neural networks, Pipelines, Pressure drop, Steady state, Two-phase flow, Databases, Flow (Dynamics), Dimensional analysis, Errors