Journal of the Korean Society for Heat Treatment (열처리공학회지)

The Korean Society for Heat Treatment (한국열처리공학회)
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Comparison Study of Prediction Models for Hot Deformation Behavior of Tool Steel

공구강의 고온 변형 거동 예측을 위한 모델 비교 연구

  • Kim, Keunhak (Division of Advanced Materials Engineering, Chonbuk National University) ;
  • Park, Dongsung (Division of Advanced Materials Engineering, Chonbuk National University) ;
  • Jun, Joong-Hwan (Advanced Process and Material R&D Group, Korea Institute of Industrial Technology) ;
  • Lee, Min-Ha (Advanced Process and Material R&D Group, Korea Institute of Industrial Technology) ;
  • Lee, Seok-Jae (Division of Advanced Materials Engineering, Chonbuk National University)
  • 김근학 (전북대학교 신소재공학부) ;
  • 박동성 (전북대학교 신소재공학부) ;
  • 전중환 (한국생산기술연구원 융합공정소재그룹) ;
  • 이민하 (한국생산기술연구원 융합공정소재그룹) ;
  • 이석재 (전북대학교 신소재공학부)
  • Received : 2018.06.18
  • Accepted : 2018.07.06
  • Published : 2018.07.30
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Abstract

High temperature flow behaviors of Fe-Cr-Mo-V-W-C tool steel were investigated using isothermal compression tests on a Gleeble simulator. The compressive test temperature was varied from 850 to $1,150^{\circ}C$ with the strain rate ranges of 0.05 and $10s^{-1}$. The maximum height reduction was 45%. The dynamic softening related to the dynamic recrystallization was observed during hot deformation. The constitutive model based on Arrhenius-typed equation with the Zener-Hollomon parameter was proposed to simulate the hot deformation behavior of Fe-Cr-Mo-V-W-C steel. An artificial neural network (ANN) model was also developed to compare with the constitutive model. It was concluded that the ANN model showed more accurate prediction compared with the constitutive model for describing the hot compressive behavior of Fe-Cr-Mo-V-W-C steel.

Keywords

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