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

Song SH;;
Materials (Basel, Switzerland) 2020 Vol. 13 pp. -
138
sh2020materialsa

Abstract

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 temperatur …

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National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:32858909 pmc7503741 doi:10.3390/ma13173766 shin-hyung song

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