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Journal Articles

Hydrodynamic Characteristics of Textured Microchannel Flow

Nastaran Rabiei, Carlos Hidrovo

J. Fluids Eng.

Paper No: FE-22-1430

DOI: https://doi.org/10.1115/1.4056783

Published Online: January 28, 2023

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Topics: Microchannel flow, Microchannels, Flow (Dynamics), Drag reduction, Drag (Fluid dynamics), Friction, Texture (Materials), Artificial neural networks, Computer simulation, Dimensions

Journal Articles

Machine-Learning-Based Reconstruction of Turbulent Vortices From Sparse Pressure Sensors in a Pump Sump

Kai Fukami, Byungjin An, Motohiko Nohmi, Masashi Obuchi, Kunihiko Taira

J. Fluids Eng. December 2022, 144(12): 121501.

Paper No: FE-22-1251

DOI: https://doi.org/10.1115/1.4055178

Published Online: August 23, 2022

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Topics: Artificial neural networks, Flow (Dynamics), Machine learning, Machinery, Multilayer perceptron, Pressure sensors, Pumps, Sensors, Turbulence, Vortices

Journal Articles

Aiding Airway Obstruction Diagnosis With Computational Fluid Dynamics and Convolutional Neural Network: A New Perspective and Numerical Case Study

Pingfan Hu, Changjie Cai, Hang Yi, Jianan Zhao, Yu Feng, Qingsheng Wang

J. Fluids Eng. August 2022, 144(8): 081206.

Paper No: FE-21-1577

DOI: https://doi.org/10.1115/1.4053651

Published Online: March 8, 2022

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Topics: Air flow, Artificial neural networks, Computational fluid dynamics, Lung, Flow (Dynamics), Testing, Databases

Includes: Supplementary data

Journal Articles

Physics Informed Deep Neural Net Inverse Modeling for Estimating Model Parameters in Permeable Porous Media Flows

Amin Pashaei Kalajahi, Isaac Perez-Raya, Roshan M D'Souza

J. Fluids Eng. June 2022, 144(6): 061102.

Paper No: FE-21-1449

DOI: https://doi.org/10.1115/1.4053549

Published Online: February 8, 2022

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Topics: Artificial neural networks, Boundary-value problems, Flow (Dynamics), Fluids, Inverse problems, Permeability, Physics, Porosity, Porous materials, Errors

Journal Articles

Estimation of Vortex-Induced Vibration Based on Observed Wakes Using Computational Fluid Dynamics-Trained Deep Neural Network

Takashi Misaka

J. Fluids Eng. October 2021, 143(10): 104501.

Paper No: FE-20-1767

DOI: https://doi.org/10.1115/1.4050974

Published Online: May 28, 2021

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Topics: Artificial neural networks, Circular cylinders, Computational fluid dynamics, Flow (Dynamics), Fluids, Oscillations, Vortex-induced vibration, Wakes, Inks, Visualization

Journal Articles

Uncertainty Quantification of Spalart–Allmaras Turbulence Model Coefficients for Simplified Compressor Flow Features

Xiao He, Fanzhou Zhao, Mehdi Vahdati

J. Fluids Eng. September 2020, 142(9): 091501.

Paper No: FE-19-1810

DOI: https://doi.org/10.1115/1.4047026

Published Online: May 11, 2020

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Topics: Artificial neural networks, Compressors, Flow (Dynamics), Separation (Technology), Shock (Mechanics), Shock waves, Stress, Turbulence, Uncertainty, Uncertainty quantification

Journal Articles

Fluid–Structure Interaction Study and Flowrate Prediction Past a Flexible Membrane Using Immersed Boundary Method and Artificial Neural Network Techniques

Mithun Kanchan, Ranjith Maniyeri

J. Fluids Eng. May 2020, 142(5): 051501.

Paper No: FE-19-1564

DOI: https://doi.org/10.1115/1.4045575

Published Online: February 3, 2020

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Topics: Artificial neural networks, Membranes, Deformation, Stiffness, Fluids, Fluid structure interaction

Journal Articles

Optimization of Flow Control Parameters Over SD7003 Airfoil With Synthetic Jet Actuator

M. Tadjfar, Dj. Kamari

J. Fluids Eng. February 2020, 142(2): 021206.

Paper No: FE-19-1407

DOI: https://doi.org/10.1115/1.4044985

Published Online: October 30, 2019

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Topics: Actuators, Airfoils, Design, Flow (Dynamics), Flow control, Genetic algorithms, Optimization, Separation (Technology), Artificial neural networks, Reynolds number

Journal Articles

A Genetic Algorithm Based Multi-Objective Optimization of Squealer Tip Geometry in Axial Flow Turbines: A Constant Tip Gap Approach

H. Maral, C. B. Şenel, K. Deveci, E. Alpman, L. Kavurmacıoğlu, Cengiz Camci

J. Fluids Eng. February 2020, 142(2): 021402.

Paper No: FE-19-1096

DOI: https://doi.org/10.1115/1.4044721

Published Online: October 10, 2019

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Topics: Artificial neural networks, Axial flow, Blades, Computational fluid dynamics, Databases, Design, Flow (Dynamics), Genetic algorithms, Geometry, Leakage flows

Journal Articles

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

Majdi Chaari, Afef Fekih, Abdennour C. Seibi, Jalel Ben Hmida

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

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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

Implementing Artificial Intelligence in Predicting Metrics for Characterizing Laser Propagation in Atmospheric Turbulence

Diego Alberto Lozano Jimenez, V. M.Krushnarao Kotteda, Vinod Kumar, V. S. Rao Gudimetla

J. Fluids Eng. December 2019, 141(12): 121401.

Paper No: FE-18-1564

DOI: https://doi.org/10.1115/1.4043706

Published Online: June 3, 2019

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Topics: Algorithms, Lasers, Machine learning, Simulation, Turbulence, Refractive index, Trains, Waves, Artificial intelligence, Artificial neural networks

Journal Articles

Multi-Objective Shape Optimization on the Inlet Pipe of a Vertical Inline Pump

Ji Pei, Xingcheng Gan, Wenjie Wang, Shouqi Yuan, Yajing Tang

J. Fluids Eng. June 2019, 141(6): 061108.

Paper No: FE-18-1387

DOI: https://doi.org/10.1115/1.4043056

Published Online: April 9, 2019

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Topics: Artificial neural networks, Design, Flow (Dynamics), Genetic algorithms, Impellers, Optimization, Pipes, Pumps, Pareto optimization, Stress

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

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

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Topics: Artificial neural networks, Flow (Dynamics), Pipes, Multiphase flow, Databases, Steady state

Journal Articles

Optimum Parameter Design of Microbubble Drag Reduction in a Turbulent Flow by the Taguchi Method Combined With Artificial Neural Networks

Kwan Ouyang, Sheng-Ju Wu, Huang-Hsin Huang

J. Fluids Eng. November 2013, 135(11): 111301.

Paper No: FE-12-1396

DOI: https://doi.org/10.1115/1.4024930

Published Online: August 7, 2013

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Topics: Artificial neural networks, Design, Drag reduction, Flow (Dynamics), Taguchi methods, Turbulence, Drag (Fluid dynamics), Bubbles, Microbubbles

Journal Articles

A Generalized Neural Network Model of Refrigerant Mass Flow Through Adiabatic Capillary Tubes and Short Tube Orifices

Ling-Xiao Zhao, Chun-Lu Zhang, Liang-Liang Shao, Liang Yang

J. Fluids Eng. December 2007, 129(12): 1559–1564.

DOI: https://doi.org/10.1115/1.2801352

Published Online: May 29, 2007

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Topics: Artificial neural networks, Flow (Dynamics), Orifices, Refrigerants

Journal Articles

Hydraulic Turbine Diffuser Shape Optimization by Multiple Surrogate Model Approximations of Pareto Fronts

B. Daniel Marjavaara, T. Staffan Lundström, Tushar Goel, Yolanda Mack, Wei Shyy

J. Fluids Eng. September 2007, 129(9): 1228–1240.

DOI: https://doi.org/10.1115/1.2754324

Published Online: April 4, 2007

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Topics: Approximation, Computational fluid dynamics, Design, Diffusers, Hydraulic turbines, Optimization, Pressure, Artificial neural networks, Evolutionary algorithms, Polynomials

Journal Articles

Finite Element and Neural Network Modeling of Viscoelastic Annular Extrusion

Han-Xiong Huang, Yan-Sheng Miao

J. Fluids Eng. February 2007, 129(2): 218–225.

DOI: https://doi.org/10.1115/1.2409357

Published Online: July 25, 2006

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Topics: Artificial neural networks, Extruding, Finite element analysis, Modeling, Molding, Simulation

Journal Articles

Velocity Field Reconstruction in the Mixing Region of Swirl Sprays Using General Regression Neural Network

K. Ghorbanian, Assistant Professor, M. R. Soltani, Associate Professor, M. R. Morad, Ph.D. Student, M. Ashjaee, Associate Professor,

J. Fluids Eng. January 2005, 127(1): 14–23.

DOI: https://doi.org/10.1115/1.1852472

Published Online: March 22, 2005

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Topics: Artificial neural networks, Ejectors, Sprays, Optimization, Pressure, Errors, Trains, Probability, Design

Journal Articles

Experimental Turbulent Field Modeling by Visualization and Neural Networks

Marko Hocˇevar, Brane Sˇirok, Igor Grabec

J. Fluids Eng. May 2004, 126(3): 316–322.

DOI: https://doi.org/10.1115/1.1760534

Published Online: July 12, 2004

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Topics: Artificial neural networks, Modeling, Spectra (Spectroscopy), Turbulence, Vortex street, Visualization, Fluctuations (Physics), Flow visualization

Journal Articles

Prediction of Turbulence Statistics Behind a Square Cylinder Using Neural Networks and Fuzzy Logic

P. K. Panigrahi, Manish Dwivedi, Vinay Khandelwal, Mihir Sen

J. Fluids Eng. March 2003, 125(2): 385–387.

DOI: https://doi.org/10.1115/1.1537251

Published Online: March 27, 2003

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Topics: Artificial neural networks, Cylinders, Fuzzy logic, Statistics, Turbulence, Modeling

Journal citation

NARROW

Supplemental Material

Manuscript

Hydrodynamic Characteristics of Textured Microchannel Flow

Machine-Learning-Based Reconstruction of Turbulent Vortices From Sparse Pressure Sensors in a Pump Sump

Aiding Airway Obstruction Diagnosis With Computational Fluid Dynamics and Convolutional Neural Network: A New Perspective and Numerical Case Study

Physics Informed Deep Neural Net Inverse Modeling for Estimating Model Parameters in Permeable Porous Media Flows

Estimation of Vortex-Induced Vibration Based on Observed Wakes Using Computational Fluid Dynamics-Trained Deep Neural Network

Uncertainty Quantification of Spalart–Allmaras Turbulence Model Coefficients for Simplified Compressor Flow Features

Fluid–Structure Interaction Study and Flowrate Prediction Past a Flexible Membrane Using Immersed Boundary Method and Artificial Neural Network Techniques

Optimization of Flow Control Parameters Over SD7003 Airfoil With Synthetic Jet Actuator

A Genetic Algorithm Based Multi-Objective Optimization of Squealer Tip Geometry in Axial Flow Turbines: A Constant Tip Gap Approach

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

Implementing Artificial Intelligence in Predicting Metrics for Characterizing Laser Propagation in Atmospheric Turbulence

Multi-Objective Shape Optimization on the Inlet Pipe of a Vertical Inline Pump

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

Optimum Parameter Design of Microbubble Drag Reduction in a Turbulent Flow by the Taguchi Method Combined With Artificial Neural Networks

A Generalized Neural Network Model of Refrigerant Mass Flow Through Adiabatic Capillary Tubes and Short Tube Orifices

Hydraulic Turbine Diffuser Shape Optimization by Multiple Surrogate Model Approximations of Pareto Fronts

Finite Element and Neural Network Modeling of Viscoelastic Annular Extrusion

Velocity Field Reconstruction in the Mixing Region of Swirl Sprays Using General Regression Neural Network

Experimental Turbulent Field Modeling by Visualization and Neural Networks

Prediction of Turbulence Statistics Behind a Square Cylinder Using Neural Networks and Fuzzy Logic

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