Preform design to reduce forging load and grain size simultaneously in disk forging of IN718
In this study, we propose a new methodology for designing preform shapes for turbofan blisk and disk forgings of IN718 superalloy using a CNN (Convolutional Neural Network). The objective function of the preform design model is set to minimize grain size and reduce forging load. Various preform shap...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2024-07-01
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| coleção: | Journal of Materials Research and Technology |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2238785424014145 |
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