Data analytics approach to predict the hardness of the copper matrix composites

25 Sep 2020 Bhattacharya Somesh Kr. Sahara Ryoji Bozic Dusan Ruzic Jovana

Copper matrix composite materials have exhibited a high potential in applications where excellent conductivity and mechanical properties are required. In this study, the machine learning models have been applied to predict the hardness of the copper matrix composite materials produced via powder metallurgy technique... (read more)

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Categories


  • APPLIED PHYSICS
  • MATERIALS SCIENCE