Enhanced prediction of heat transfer in jet impingement cooling using an artificial intelligence: A case study

Enhanced prediction of heat transfer in jet impingement cooling using an artificial intelligence: A case study

This paper is about the gas turbine cooling model using the extended jet array. The aim of the present study is to explain the effect of the impinging jet configuration of elongated jet holes on the heat transfer distribution with a deep Convolutional Neural Network (CNN). CNNs preserve spatial rela...

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Bibliographic Details
Main Authors: Mehmet Berkant Özel, Ufuk Durmaz, Muhammed Ali Nur Öz, Ahmet Ümit Tepe, Cemil Öz, Ünal Uysal, Orhan Yalçinkaya, Ali Cemal Beni̇m, Norah Alomayrah, M.S. Al-Buriahi
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Case Studies in Thermal Engineering
Subjects:
Deep learning
Artificial intelligence
Extended jet holes
Convection heat transfer
Computational fluid dynamics
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X25008652
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