Data analytics approach to predict the hardness of copper matrix composites
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 (CuMCs) produced via th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Netherlands Press
2020-11-01
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| Series: | Metallurgical & Materials Engineering |
| Subjects: | |
| Online Access: | https://metall-mater-eng.com/index.php/home/article/view/567 |