Automatic steel grades design for Jominy profile achievement through neural networks and genetic algorithms
The paper proposes an approach to the design of the chemical composition of steel, which is based on neural networks and genetic algorithms and aims at achieving a desired hardenability behavior possibly matching other constraints related to the steel production. Hardenability is a mechanical featur...
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Veröffentlicht in: | Neural computing & applications 2021-12, Vol.33 (23), p.16451-16470 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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