Effect of interfacial bridging atoms on the strength of Al/CNT composites: machine-learning-based prediction and experimental validation

Effect of interfacial bridging atoms on the strength of Al/CNT composites: machine-learning-based prediction and experimental validation

Weak interfacial adhesion is one of key obstacles to develop aluminum matrix composites containing carbon nanotubes (CNTs). This study suggests the concept of bridging atoms to enhance the interfacial wetting between aluminum and CNTs. Machine learning and sensitivity analyses were employed to deter...

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Bibliographic Details
Main Authors: KeunWon Lee, HanSol Son, KiSub Cho, HyunJoo Choi
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:Journal of Materials Research and Technology
Subjects:
Metal matrix composites
Mechanical properties
Mechanical alloying
Carbon nanotubes
Machine learning
Interface
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785422000928

Internet

http://www.sciencedirect.com/science/article/pii/S2238785422000928

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