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- Title
Guest editorial: Special Issue on Artificial Intelligence and Emerging Computational Approaches for Tribology.
- Authors
Zhang, Zhinan; Pan, Shuaihang; Raeymaekers, Bart
- Abstract
This document is a guest editorial from the journal Friction, focusing on the special issue of Artificial Intelligence (AI) and emerging computational approaches for tribology. Tribology research, which studies friction and wear, has traditionally relied on extensive experimentation. However, AI and computational approaches offer new opportunities to explore complex processes in tribology and push the boundaries of research. The special issue includes 15 papers covering various aspects of AI and machine learning in tribology, such as wear assessment, lubrication performance, contact wear prediction, and composite materials design. These articles highlight the transformative impact of AI in tribology research and provide valuable insights for future innovations.
- Subjects
COMPUTATIONAL intelligence; ARTIFICIAL intelligence; TRIBOLOGY; MACHINE learning; STEREO vision (Computer science); ENGINEERING laboratories; CAVITATION erosion; LUBRICATING oils; MEDICAL informatics
- Publication
Friction (2223-7704), 2024, Vol 12, Issue 6, p1057
- ISSN
2223-7704
- Publication type
Editorial
- DOI
10.1007/s40544-024-0883-6