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    Triboinformatics Approach for Prediction of High-Stress Abrasive Wear and Coefficient of Friction in Al/TiC Nanocomposites Using Machine Learning Techniques 

    Source: Journal of Tribology:;2024:;volume( 147 ):;issue: 002:;page 21401-1
    Author(s): Golla, Chitti Babu; Narasimha Rao, R.; Ismail, Syed
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study highlights the importance of Al–Fe–Si alloys in modern engineering for their enhanced hardness, strength, and wear resistance, improving fuel efficiency in the aerospace and automotive sectors. Data-driven ...
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