A Comparative Study of a Machine Learning Approach and Response Surface Methodology for Optimizing the HPT Processing Parameters of AA6061/SiCp Composites

A Comparative Study of a Machine Learning Approach and Response Surface Methodology for Optimizing the HPT Processing Parameters of AA6061/SiCp Composites

This work investigates the efficacy of high-pressure torsion (HPT), as a severe plastic deformation mechanism for processing plain and silicon-carbide-reinforced AA6061, with the broader objective of using the technique for improving the properties of lightweight materials for a range of objectives....

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Hlavní autoři: Waleed H. El-Garaihy, Abdulrahman I. Alateyah, Mahmoud Shaban, Mohammed F. Alsharekh, Fahad Nasser Alsunaydih, Samar El-Sanabary, Hanan Kouta, Yasmine El-Taybany, Hanadi G. Salem
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2023-08-01
Edice:Journal of Manufacturing and Materials Processing
Témata:
high-pressure torsion
severe plastic deformation
AA6061
response surface methodology
machine learning approach
genetic algorithm
On-line přístup:https://www.mdpi.com/2504-4494/7/4/148

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https://www.mdpi.com/2504-4494/7/4/148

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