Aerodynamic Analyses of Airfoils Using Machine Learning as an Alternative to RANS Simulation

Aerodynamic Analyses of Airfoils Using Machine Learning as an Alternative to RANS Simulation

The accurate prediction of aerodynamic properties is an essential requirement for the design of applications that involve fluid flows, especially in the aerospace industry. The aerodynamic characteristics of fluid flows around a wing or an airfoil are usually forecasted using the numerical solution...

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Bibliographic Details
Main Authors: Shakeel Ahmed, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, Senthan Mathavan, Ghulam Hussain, Mohammed Alkahtani, Marwan Bin Muhammad Alsultan
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
aerodynamics
BPNN
CFD
machine learning
neural networks
numerical simulations
Online Access:https://www.mdpi.com/2076-3417/12/10/5194

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