Technical gazette, Vol. 27 No. 5, 2020.
Original scientific paper
https://doi.org/10.17559/TV-20190818105839
Mathematical Model and Simulation of Austenite Reverse Phase Transformation Process in Cold Rolled Low Carbon Steel
Su-fen Wang
; Key Laboratory of Air-drive Equipment Technology of Zhejing, Province Quzhou, Zhejiang 324000, P. R. China Quzhou University, NO. 78 Jiuhua North Road, Quzhou, Zhejiang 324000, China
Zhi-jie Li*
; Key Laboratory of Air-drive Equipment Technology of Zhejing, Province Quzhou, Zhejiang 324000, P. R. China Quzhou University, NO. 78 Jiuhua North Road, Quzhou, Zhejiang 324000, China
Jian-hong Huang
; SHANG YANG Machinery Co., Ltd of Zhejiang Quzhou, Zhejiang 324000, P. R. China
Xu-yang Chen
; College of Mechanical Engineering, Quzhou University, Quzhou, Zhejiang 324000, P. R. China NO. 78 Jiuhua North Road, Quzhou, Zhejiang 324000, China
Xin-dong Wang
; College of Mechanical Engineering, Quzhou University, Quzhou, Zhejiang 324000, P. R. China NO. 78 Jiuhua North Road, Quzhou, Zhejiang 324000, China
Abstract
Based on the reverse austenite transformation process of cold rolled low carbon steel and the deformation energy storage, the mathematical model of phase transformation temperature and structure transformation of austenite reverse transformation was established by using Scheil transformation kinetics. The different heating temperature of austenite and deformation amount of the austenite reverse transformation structure are numerically simulated. The inverse transformation process of austenite was calculated by Matlab, the calculation results show that the austenite transformation temperature AS increases with the increase of heating rate and comes to a constant value. The influence of deformation on AS decreases with the increase of heating rate.Austenite grain size and the temperature is approximately exponential. The accuracy of the model was verified by experimental analysis of the microstructure under different process conditions.
Keywords
austenite; cold rolled low carbon steel; numerical model; reverse phase transformation; simulation
Hrčak ID:
244773
URI
Publication date:
17.10.2020.
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