Applications of Artificial Neural Network Simulation for Prediction of Wear Rate and Coefficient of Friction Titanium Matrix Composites
The Artificial Neural Network (ANN) techniques were utilized to predict wear rate and CoF of the Ti-5Al-2.5Sn matrix reinforced with B4C particle manufactured by the powder metallurgy. TMCs and wear test samples were characterized by the Scanning Electron Microscope (SEM). Dry sliding wear narrative...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal de Sao Carlos
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |