열처리공학회지 (Journal of the Korean Society for Heat Treatment)

  • 제31권1호
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  • Pages.1-5
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  • 2018
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  • 1225-1070(pISSN)
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  • 2508-4046(eISSN)
한국열처리공학회 (The Korean Society for Heat Treatment)
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인공 신경망 모델을 활용한 조미니 곡선 예측

Prediction of Jominy Curve using Artificial Neural Network

  • 이운재 (전북대학교 신소재공학부) ;
  • 이석재 (전북대학교 신소재공학부)
  • Lee, Woonjae (Division of Advanced Materials Engineering, Chonbuk National University) ;
  • Lee, Seok-Jae (Division of Advanced Materials Engineering, Chonbuk National University)
  • 투고 : 2017.12.08
  • 심사 : 2017.12.22
  • 발행 : 2018.01.30
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초록

This work demonstrated the application of an artificial neural network model for predicting the Jominy hardness curve by considering 13 alloying elements in low alloy steels. End-quench Jominy tests were carried out according to ASTM A255 standard method for 1197 samples. The hardness values of Jominy sample were measured at different points from the quenched end. The developed artificial neural network model predicted the Jominy curve with high accuracy ($R^2=0.9969$ for training and $R^2=0.9956$ for verification). In addition, the model was used to investigate the average sensitivity of input variables to hardness change.

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참고문헌

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