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Predicting Wear Properties of Alloy 7090/SiC Nanoparticle Composites Using Artificial Neural Networks for aerospace application

In the current study, we have explored the wear characteristics of Al 7090 alloy-silicon carbide nanoparticles composites that can be applied to aerospace. The composite material is prepared very carefully by stir casting in the laboratory, and silicon carbide nanoparticles are incorporated to enhan...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Hussain Beporam Iftekhar, Kaliappan Seeniappan, I Manikandan, Polisetty Lava Kumar, Saravanan M., Maranan Ramya
Format: Artigo
Sprache:Inglês
Veröffentlicht: EDP Sciences 2024-01-01
Schriftenreihe:E3S Web of Conferences
Schlagworte:
composite materials
wear properties
artificial neural network
aerospace applications
optimization techniques
Online-Zugang:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/86/e3sconf_rawmu2024_01025.pdf
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