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http://dx.doi.org/10.1007/s12540-018-0138-z

A Novel Method to Calculate the Carbides Fraction from Dilatometric Measurements During Cooling in Hot-Work Tool Steel  

Zhao, Xiaoli (Institute of Materials Modification and Modeling, School of Materials Science and Engineering, Shanghai Jiao Tong University)
Li, Chuanwei (Institute of Materials Modification and Modeling, School of Materials Science and Engineering, Shanghai Jiao Tong University)
Han, Lizhan (Shanghai Key Laboratory of Materials Laser Processing and Modification, Shanghai Jiao Tong University)
Gu, Jianfeng (Collaborative Innovation Center for Advanced Ship and Deep Sea Exploration, Shanghai Jiao Tong University)
Publication Information
Metals and materials international / v.24, no.6, 2018 , pp. 1193-1201 More about this Journal
Abstract
Dilatometry is a useful technique to obtain experimental data concerning transformation. In this paper, a dilation conversional model was established to calculate carbides fraction in AISI H13 hot-work tool steel based on the measured length changes. After carbides precipitation, the alloy contents in the matrix changed. In the usual models, the content of carbon atoms after precipitation is considered as the only element that affects the lattice constant and the content of the alloy elements such as Cr, Mo, Mn, V are often ignored. In the model introduced in this paper, the alloying elements (Cr, Mo, Mn, V) changes caused by carbides precipitation are incorporated. The carbides were identified using scanning electron microscope and transmission electron microscope. The relationship between lattice constant of carbides and temperature are measured by high-temperature X-ray diffraction. The results indicate that the carbides observed in all specimens cooled at different rates are V-rich MC and Cr-rich $M_{23}C_6$, and most of them are V-rich MC, only very few are Cr-rich $M_{23}C_6$. The model including the effects of substitutional alloying elements shows a good improvement on carbides fraction predictions. In addition, lower cooling rate advances the carbides precipitation for AISI H13 specimens. The results between experiments and mathematical model agree well.
Keywords
Cooling; Carbides identification; Tool steel; Precipitation modeling; AISI H13;
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