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

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
Main Authors: Janghoon Seo, Hyun-Sik Yoon, Min-Il Kim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Energies
Subjects:
convolutional neural network
encoder–decoder
aerodynamics
heat transfer
NACA section
computational fluid dynamics
Online Access:https://www.mdpi.com/1996-1073/15/23/9204

Internet

https://www.mdpi.com/1996-1073/15/23/9204

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