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Keywords: artificial neural networks
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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
Journal: Journal of Fluids Engineering
Publisher: ASME
Article Type: Research-Article
J. Fluids Eng. May 2020, 142(5): 051501.
Paper No: FE-19-1564
https://doi.org/10.1115/1.4045575
Published Online: February 3, 2020
... that governs this behavior. Finally, an artificial neural network (ANN) model is developed that successfully predicts flowrate in the channel for different membrane parameters. Fluid–structure interaction (FSI) involving moving flexible boundaries and the surrounding hydrodynamic instabilities is a prime...
View Article titled, Fluid–Structure Interaction Study and Flowrate Prediction Past a Flexible Membrane Using Immersed Boundary Method and <span class="search-highlight">Artificial</span> <span class="search-highlight">Neural</span> <span class="search-highlight">Network</span> Techniques
Open the PDF for Fluid–Structure Interaction Study and Flowrate Prediction Past a Flexible Membrane Using Immersed Boundary Method and <span class="search-highlight">Artificial</span> <span class="search-highlight">Neural</span> <span class="search-highlight">Network</span> Techniques in another window
Topics: Artificial neural networks, Membranes, Deformation, Stiffness, Fluids, Fluid structure interaction
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
Journal: Journal of Fluids Engineering
Publisher: ASME
Article Type: Research-Article
J. Fluids Eng. February 2020, 142(2): 021402.
Paper No: FE-19-1096
https://doi.org/10.1115/1.4044721
Published Online: October 10, 2019
.... , and Glicksman , L. , 2014 , “ Multi-Objective Optimization for Building Retrofit: A Model Using Genetic Algorithm and Artificial Neural Network and an Application ,” Energy Build. , 81 , pp. 444 – 456 . 10.1016/j.enbuild.2014.06.009 [30] Avcı , H. , Kumlutaş , D. , Özer , Ö...
View Article titled, A Genetic Algorithm Based Multi-Objective Optimization of Squealer Tip Geometry in Axial Flow Turbines: A Constant Tip Gap Approach
Open the PDF for A Genetic Algorithm Based Multi-Objective Optimization of Squealer Tip Geometry in Axial Flow Turbines: A Constant Tip Gap Approach in another window
Topics: Artificial neural networks, Axial flow, Blades, Computational fluid dynamics, Databases, Design, Flow (Dynamics), Genetic algorithms, Geometry, Leakage flows
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
Journal: Journal of Fluids Engineering
Publisher: ASME
Article Type: Research-Article
J. Fluids Eng. November 2013, 135(11): 111301.
Paper No: FE-12-1396
https://doi.org/10.1115/1.4024930
Published Online: August 7, 2013
..., bubble size, and the rate of air injection) and two are indicative factors (flow speed and the measured position of local shear stress). An integrated approach of combining the Taguchi method with artificial neural networks (ANN) is proposed, implementing the optimum parameter design in this study. Based...
View Article titled, Optimum Parameter Design of Microbubble Drag Reduction in a Turbulent Flow by the Taguchi Method Combined With <span class="search-highlight">Artificial</span> <span class="search-highlight">Neural</span> <span class="search-highlight">Networks</span>
Open the PDF for Optimum Parameter Design of Microbubble Drag Reduction in a Turbulent Flow by the Taguchi Method Combined With <span class="search-highlight">Artificial</span> <span class="search-highlight">Neural</span> <span class="search-highlight">Networks</span> in another window
Topics: Artificial neural networks, Design, Drag reduction, Flow (Dynamics), Taguchi methods, Turbulence, Drag (Fluid dynamics), Bubbles, Microbubbles