Machine learning driven prediction and optimization of tribological performance in CNT/graphene/SiC/TiO₂ reinforced Al6061 metal matrix composites
Fields of Study & Subjects
Aluminum Alloys Composites Properties
Tribology and Wear Analysis
Scientific and Engineering Research Topics
Publication details
- Journal / source
- Tribology International
- Publisher
- Elsevier BV
- Volume
- 221
- Pages
- 112065–112065
- Publication date
- 16 April 2026
- Language
- EN