Establishment of CNN and Encoder–Decoder Models for the Prediction of Characteristics of Flow and Heat Transfer around NACA Sections

The present study established two different models based on the convolutional neural network (CNN) and the encoder–decoder (ED) to predict the characteristics of the flow and heat transfer around the NACA sections. The established CNN predicts the aerodynamic coefficients and the Nusselt number. The...

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Bibliographic Details

Published in:	Energies (Basel) Vol. 15; no. 23; p. 9204
Main Authors:	Seo, Janghoon, Yoon, Hyun-Sik, Kim, Min-Il
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.12.2022
Subjects:	Aerodynamics Analysis Boundary conditions computational fluid dynamics convolutional neural network Datasets Deep learning Design optimization encoder–decoder Heat transfer NACA section Neural networks Reynolds number Simulation methods Velocity
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
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