Neural Network Prediction for Ice Shapes on Airfoils Using iceFoam Simulations

In this article the procedure and method for the ice accretion prediction for different airfoils using artificial neural networks (ANNs) are discussed. A dataset for the neural network is based on the numerical experiment results—obtained through iceFoam solver—with four airfoils (NACA0012, General...

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Bibliographic Details
Main Authors: Sergei Strijhak, Daniil Ryazanov, Konstantin Koshelev, Aleksandr Ivanov
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/9/2/96