On the Computational Study of a Fully Wetted Longitudinal Porous Heat Exchanger Using a Machine Learning Approach

On the Computational Study of a Fully Wetted Longitudinal Porous Heat Exchanger Using a Machine Learning Approach

The present study concerns the modeling of the thermal behavior of a porous longitudinal fin under fully wetted conditions with linear, quadratic, and exponential thermal conductivities surrounded by environments that are convective, conductive, and radiative. Porous fins are widely used in various...

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Bibliographic Details
Main Authors: Hosam Alhakami, Naveed Ahmad Khan, Muhammad Sulaiman, Wajdi Alhakami, Abdullah Baz
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Entropy
Subjects:
wet porous fin
functionally graded materials
thermal analysis
meta-heuristics
machine learning techniques
Online Access:https://www.mdpi.com/1099-4300/24/9/1280

Internet

https://www.mdpi.com/1099-4300/24/9/1280

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