Artificial Neural Network for Modeling the Tensile Properties of Ferrite-Pearlite Steels: Relative Importance of Alloying Elements and Microstructural Factors

Tae‑Woon Hong; Sang‑In Lee; Jae‑Hyeok Shim; Myoung‑Gyu Lee; Joonho Lee; Byoungchul Hwang

doi:10.1007/s12540-021-00982-z

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자료유형: 학술저널

저자정보: Tae‑Woon Hong (Seoul National University of Science and Technology) Sang‑In Lee (Seoul National University of Science and Technology) Jae‑Hyeok Shim (Korea Institute of Science and Technology) Myoung‑Gyu Lee (Seoul National University) Joonho Lee (Korea University) Byoungchul Hwang (Seoul National University of Science and Technology)

저널정보: 대한금속·재료학회 Metals and Materials International Metals and Materials International Vol.27 No.10

발행연도: 2021.10

수록면: 3,935 - 3,944 (10page)

DOI: 10.1007/s12540-021-00982-z

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An artificial neural network (ANN) model was developed to predict the tensile properties as a function of alloying elementand microstructural factor of ferrite-pearlite steels. The input parameters of the model were composed of alloying elements(Mn, Si, Al, Nb, Ti, and V) and microstructural factors (pearlite fraction, ferrite grain size, interlamellar spacing, and cementitethickness), while the output parameters of the model were yield strength and tensile strength. Although the ferrite-pearlitesteels have complex relationships among the alloying elements, microstructural factors, and tensile properties, the ANNmodel predictions were found to be more accurate with experimental results than the existing equation model. In the presentstudy the individual effect of input parameters on the tensile properties was quantitatively estimated with the help of theaverage index of the relative importance for alloying elements as well as microstructural factors. The ANN model attemptedfrom the metallurgical points of view is expected to be useful for designing new steels having required mechanical properties.

#Ferrite-pearlite steels #Artificial neural network #Index of relative importance #Alloying element #Microstructural factor #Tensile property

참고문헌 (45)

참고문헌 신청

No‑hoon Kim / 2019 / Variation of Mechanical Properties and Corrosion Properties with Mo Contents of Hyper Duplex Stainless‑Steel Welds / Metals and Materials International 25(1):193~206

Fateme Najafkhani / 2019 / Effect of Intercritical Annealing Conditions on Grain Growth Kinetics of Dual Phase Steel / Metals and Materials International 25(4):1039~1046

Sang‑In Lee / 2018 / Effect of Strain Aging on Tensile Behavior and Properties of API X60, X70, and X80 Pipeline Steels / Metals and Materials International 24(6):1221~1231

Hyung Lae Kim / 2020 / Loading Direction Dependence of Yield-Point Phenomenon and Bauschinger Effect in API X70 Steel Sheet / Metals and Materials International 26(1):14~24

Tin Brlić / 2020 / Influence of Niobium Content on Strain Amount in Lüders Bands in Niobium Microalloyed Steel / Metals and Materials International 26(2):179~187

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