Machine learning investigation of wavy fin using penta type nanomaterial with multiple Parameters: Computational design

Machine learning investigation of wavy fin using penta type nanomaterial with multiple Parameters: Computational design

Nanofluid characterization of wavy fins is applied extensively solar thermal collectors, electronic cooling, where enhanced thermal conductance maximizes the device efficiency. AI (artificial intelligence) methods can be utilized to model heat transfer behavior, design optimal fin geometry, and dete...

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Bibliographic Details
Main Authors: Badreddine Ayadi, Adnan, Sami Ullah Khan, Mutasem Z. Bani-Fwaz, Dana Mohammad Khidhir, Muhammad Mahmood Ali, Muhammad Nasir Bashir, Mohamed Bechir Ben Hamida
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:Case Studies in Thermal Engineering
Subjects:
Wavy fin
Penta nanomaterial
Thermal efficiency
ANN machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X25010767
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