45.4

M. Iyyappan

Periyar Maniammai Institute of Science & Technology

M. Iyyappan's research focuses on the mechanical properties of metal matrix composites, specifically exploring the effect of ceramic influences on dry sliding wear behavior using a neural network approach. Recent publications have examined the role of ceramics in Al-Cu-Zr alloys, revealing their potential to enhance tribological performance and reduce wear rates. These findings have significant implications for industries relying on these materials, such as aerospace and automotive sectors, where improved wear resistance can lead to increased component lifespan and reduced maintenance costs. The application of machine learning techniques in this field expands the understanding of complex material interactions.

Commercial signal 44.9
Scientific signal 48.4
Social signal 47.3
Papers 1
0 Patent-to-paper cites
0 Paper cites

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