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Investigation of Mechanical and Corrosion Behavior of ECAP Processed AA7075 Through ML, ANNW, RSM, and SA Methodologies

ABSTRACT This study employs a multi‐perspective modeling approach combining Response Surface Methodology (RSM), Machine Learning (ML), Artificial Neural Networks (ANNW), and Simulated Annealing (SA) to optimize Equal Channel Angular Pressing (ECAP) parameters for improving the mechanical and corrosi...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Majed Alinizzi, W. H. El‐Garaihy, A. I. Alateyah, Samar El‐Sanabary, Fahad Nasser Alsunaydih, Mansour Alturki, H. Abd El‐Hafez, Mohamed S. El‐Asfoury, Eman M. Zayed, Hanan Kouta
Format: Artigo
Sprache:Inglês
Veröffentlicht: Wiley 2025-04-01
Schriftenreihe:Engineering Reports
Schlagworte:
AA7075
corrosion
machine learning
mechanical properties
microstructure
optimization
Online-Zugang:https://doi.org/10.1002/eng2.70151
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