An interpretable stacking machine-learning model to predict the hot torsion flow characteristics of a micro-alloyed steel
Micro-alloyed steels are extensively used in many industries owing to their high strength, formability, wear and fatigue resistance. Understanding hot flow behavior of these steels under complex thermomechanical conditions is of great significance for manufacturing process optimization. The current...
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| Main Authors: | Hojjat Emami, Mehdi Shaban Ghazani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025013969 |
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