Hot ductility prediction model of cast steel with low-temperature transformed structure during continuous casting

HIGHLIGHTS

  • who: Dae-Geun Hong and colleagues from the Graduate Institute of Ferrous and Energy Materials Technology, Pohang University of Science and Technology have published the research: Hot Ductility Prediction Model of Cast Steel with Low-Temperature Transformed Structure during Continuous Casting, in the Journal: Materials 2022, 3513 of 13/05/2022
  • what: This study proposes a method that uses N-shaped data fitting and random forest to predict behavior of steel grades that have bainite microstructure. The aim of this study is to predict the ductility using a RF, and to find a cooling condition . . .

     

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