METALS AND METAL MATRIX COMPOSITES |
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Continuous Cooling Transformation Behavior and Transformation Kinetics of S34MnV Steel |
YAN Yong, LI Mengnie Victor, BU Hengyong, ZHENG Shanju
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Faculty of Materials Science and Engineering, Kunming University of Science and Technology, Kunming 650093, China |
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Abstract Dilations of S34MnV steel during continuous cooling at different cooling rates were measured utilizing DIL-805ADT dynamic dilatometer. The transformation points of S34MnV steel, which are the austenitizing critical points Ac1 and Ac3, bainite transformation points Bs and Bf, martensitic transformation points Ms and Mf, were obtained under different heating and cooling speeds by the tangent method that fits the expansion curves before and after the transformation inflection point. The microstructure and phase of continuous cooling transformation of S34MnV steel were observed and analyzed by optical microscope(OM), scanning electron microscope(SEM), energy dispersive spectrometer(EDS)and X-ray diffraction(XRD).The CCT curve of S34MnV steel was drawn according to the transformation time corresponding to these transformation points and the microstructure analysis. Meanwhile, a more accurate and practical Li model for low alloy steel is adopted in this paper to describe the diffusion transformation in the continuous cooling process. The ferrite, pearlite and bainite transformation described by the Li model, which was used to calculate the complex austenite decomposition reaction in the cooling process of heat treatment was modified by the CCT curve and the Koistinen-Marburger (K-M) equation of the martensitic transformation was fitted. The dynamic models of ferrite transformation, pearlite transformation, bainite transformation and martensite transformation in the continuous cooling transformation process of S34MnV steel were established comprehensively. The results of the experimental observation are consistent with the transformation calculated by the model, which could provide an accurate mathematical model for the numerical simulation of large marine crankshaft, and could be used to predict the phase transformation of S34MNV steel during the cooling process of heat treatment.
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Published: 12 November 2021
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Fund:This work was financially supported by Key Research and Development Plan of Key Technology and Support Platform for Material Genetic Engineering of Ministry of Science and Technology (2017YFB0701804). |
Corresponding Authors:
limengnie@163.com
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About author:: Yong Yan, male, born in Chongqing, master’s degree 2018, Faculty of Materials Science and Engineering, Kunming University of Science and Technology. The main research direction is material processing integrated computing materials engineering. Mengnie Victor Li, professor and doctoral supervisor, Faculty of materials science and engineering, Kunming University of Science and Technology, winner of the national long-term project of “introducing overseas high-level talents”, high-level talents of “high-level talent introduction plan” of Yunnan Province, head of high-level innovation and entrepreneurship team of Yunnan Province integrated computing materials engineering, and Member of the 11th Council of the Chinese Mechani-cal Engineering Society Heat Treatment Society. The main research direction is material genetic engineering and integrated computational material engineering of metal material processing. |
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