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Quantum-mechanical analysis of effect of alloying elements on ε-martensite start temperature of steels.
Jang, J H; Moon, J; Ha, H-Y; Lee, T-H; Suh, D-W.
Afiliación
  • Jang JH; Ferrous Alloy Department, Korea Institute of Materials Science, Changwon, 51508, Republic of Korea. jhjang@kims.re.kr.
  • Moon J; Ferrous Alloy Department, Korea Institute of Materials Science, Changwon, 51508, Republic of Korea.
  • Ha HY; Ferrous Alloy Department, Korea Institute of Materials Science, Changwon, 51508, Republic of Korea.
  • Lee TH; Ferrous Alloy Department, Korea Institute of Materials Science, Changwon, 51508, Republic of Korea.
  • Suh DW; Graduate Institute of Ferrous Technology, POSTECH, Pohang, 37673, Republic of Korea.
Sci Rep ; 7(1): 17860, 2017 12 19.
Article en En | MEDLINE | ID: mdl-29259306
With regard to the transformation mechanism of austenitic high manganese steel, the prediction of the ε-martensite start temperature is a critical consideration in alloy design. Evaluation of the ε-martensite start temperature makes it possible to predict the microstructure and to understand the phase transformation occurring during deformation. Here we use the quantum mechanical calculation of random alloys to understand the physics for ε-martensitic transformation in steels. We could find the linear relationship between the measured ε-martensite start temperatures and the crystal structure stability for various compositions. We also could estimate the effect of several alloying elements. It is expected that the effect of decreasing the temperatures for the same amount of alloying elements addition will be larger moving farther from Group VIII. By creating a free-energy model that reflects the temperature effect, we were able to calculate the average driving force required for the ε-martensitic transformations.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article Pais de publicación: Reino Unido