Prediction of the tensile properties of ultrafine grained Al–SiC nanocomposites using machine learning

Prediction of the tensile properties of ultrafine grained Al–SiC nanocomposites using machine learning

We discovered and analyzed the new prediction model by using machine learning (ML) for the tensile strength of aluminum nanocomposites reinforced with μ-SiC particles fabricated by accumulative roll bonding (ARB). The effect of the number of cycles and SiC content on the microstructure, phase analys...

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Bibliographic Details
Main Authors: I.M.R. Najjar, A.M. Sadoun, Mohamed Abd Elaziz, H. Ahmadian, A. Fathy, A.M. Kabeel
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Journal of Materials Research and Technology
Subjects:
Machine learning
Accumulative roll bonding
Growth optimizer algorithm
Tensile strength
Al– SiC nanocomposite
Hardness
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785423010001

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http://www.sciencedirect.com/science/article/pii/S2238785423010001

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