Explainable machine learning for understanding and predicting geometry and defect types in Fe-Ni alloys fabricated by laser metal deposition additive manufacturing
Recently, there has been development toward metal additive manufacturing (MAM) because of its benefits like fabrication of complex geometries, waste minimization, freedom of design, and low-cost customization. Despite these advantages, the influence of the processing parameters on the properties of...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-01-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785422018427 |