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A Comparison Study of Constitutive Equation, Neural Networks, and Support Vector Regression for Modeling Hot Deformation of 316L Stainless Steel

In this research, hot deformation experiments of 316L stainless steel were carried out at a temperature range of 800–1000 °C and strain rate of 2 × 10(−3)–2 × 10(−1). The flow stress behavior of 316L stainless steel was found to be highly dependent on the strain rate and temperature. After the exper...

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Detalles Bibliográficos
Autor principal: Song, Shin-Hyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503741/
https://www.ncbi.nlm.nih.gov/pubmed/32858909
http://dx.doi.org/10.3390/ma13173766