Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing Map
To design microstructure and microhardness in the additive manufacturing (AM) of nickel (Ni)-based superalloys, the present work develops a novel data-driven approach that combines physics-based models, experimental measurements, and a data-mining method. The simulation is based on a computational t...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-08-01
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| Series: | Engineering |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095809918308543 |