Composition optimization design and high temperature mechanical properties of cast heat-resistant aluminum alloy via machine learning
Traditional trial-and-error methods for optimizing the composition of heat-resistant aluminum alloys often consume significant time and resources, making it difficult to achieve alloys with excellent mechanical properties. This study combines experimental and machine learning methods to predict the...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
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| Series: | Materials & Design |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127525000073 |
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