Neural network model for correlating microstructural features and hardness properties of nickel-based superalloys
In precipitation hardening metallic materials, the size and volume fraction of precipitation phases are regarded as primary microstructural parameters to control the strength instead of others. Why? In this research, a supervised learning approach was developed to correlate γ′ precipitation microstr...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-11-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785420319013 |