Wear Behavior Analysis and Gated Recurrent Unit Neural Network Prediction of Coefficient of Friction in Al10Cu-B₄C Composites

Aluminum-based metal matrix composites reinforced with B₄C are advanced materials recognized for their exceptional combination of lightweight properties, high hardness, and superior wear resistance. These characteristics make them perfectly suited for applications demanding exceptional pe...

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Detalhes bibliográficos

Principais autores:	Mihail Kolev, Ludmil Drenchev, Veselin Petkov, Rositza Dimitrova, Krasimir Kolev, Boris Yanachkov
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-12-01
coleção:	Lubricants
Assuntos:	Al10Cu-B<sub>4</sub>C composites metal matrix composites wear characteristics dry-sliding friction gated recurrent unit neural network
Acesso em linha:	https://www.mdpi.com/2075-4442/13/1/6
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