Towards an Optimized Artificial Neural Network for Predicting Flow Stress of In718 Alloys at High Temperatures

Artificial neural networks (ANNs) have been an important approach for predicting the value of flow stress, which is dependent on temperature, strain, and strain rate. However, there is still a lack of sufficient knowledge regarding what structure of ANN should be used for predicting metal flow stres...

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Detalles Bibliográficos
Autores principales: Zhang, Chunbo, Shi, Qingyu, Wang, Yihe, Qiao, Junnan, Tang, Tianxiang, Zhou, Jun, Liang, Wu, Chen, Gaoqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096018/
https://www.ncbi.nlm.nih.gov/pubmed/37048956
http://dx.doi.org/10.3390/ma16072663

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096018/
https://www.ncbi.nlm.nih.gov/pubmed/37048956
http://dx.doi.org/10.3390/ma16072663

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