通过改进的动力学模型描述Fe–C–X（X=Ni, Cr, Mn, Si）体系的马氏体相变动力学过程

耿熙元; 陈洪灿; 王静静; 张宇; 罗群; 李谦

doi:10.1007/s12613-023-2780-9

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文章导航 > 矿物冶金与材料学报（英文） > 2024 > 31(5): 1026-1036

Xiyuan Geng, Hongcan Chen, Jingjing Wang, Yu Zhang, Qun Luo, and Qian Li, Description of martensitic transformation kinetics in Fe–C–X (X = Ni, Cr, Mn, Si) system by a modified model, Int. J. Miner. Metall. Mater., 31(2024), No. 5, pp. 1026-1036. https://doi.org/10.1007/s12613-023-2780-9

Cite this article as:

Xiyuan Geng, Hongcan Chen, Jingjing Wang, Yu Zhang, Qun Luo, and Qian Li, Description of martensitic transformation kinetics in Fe–C–X (X = Ni, Cr, Mn, Si) system by a modified model, Int. J. Miner. Metall. Mater., 31(2024), No. 5, pp. 1026-1036. https://doi.org/10.1007/s12613-023-2780-9

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研究论文

通过改进的动力学模型描述Fe–C–X（X=Ni, Cr, Mn, Si）体系的马氏体相变动力学过程

1)
上海大学材料科学与工程学院省部共建高品质特殊钢冶金与制备国家重点实验室, 上海 200444, 中国
2)
鞍钢集团北京研究院有限公司, 北京 102211, 中国
3)
重庆大学国家镁合金材料工程技术研究中心, 重庆 400044, 中国
4)
重庆大学材料科学与工程学院, 重庆 400044, 中国
5)
重庆大学高端装备铸造技术全国重点实验室, 重庆 400044, 中国

通讯作者:
罗群 E-mail: qunluo@shu.edu.cn

李谦 E-mail: cquliqian@cqu.edu.cn

文章亮点

(1) 动力学模型中引入了随温度变化的相变驱动力与形核激活能，将马氏体相变的热力学与动力学联系起来。

(2) 优化的模型能够描述马氏体相变动力学曲线的S形特征，对形核过程描述更准确。

(3) 动力学模型在Fe–C–X（X = Ni, Cr, Mn, Si）体系中计算精度达9.5%。

中文摘要

控制非热马氏体和残余奥氏体的含量对于提高高强度钢的机械性能是至关重要的，但如何准确描述冷却过程中的马氏体相变一直是一个难题。目前常用的半经验动力学模型对于马氏体相变开始阶段的描述存在较大误差，并且其中大部分模型未能描绘出马氏体相变动力学曲线的S形特征。为了更准确地描述马氏体相变过程，在Magee模型的基础上引入了随温度变化的马氏体形核激活能，从而可以计算形核率在相变过程中的变化。计算结果表明，与通过热膨胀法测得的Fe–C–X（X=Ni、Cr、Mn、Si）合金马氏体相变动力学曲线相比，用改进后的动力学模型计算动力学曲线的相对误差仅达到了9.5%，相较于Magee模型，这一误差减少了约三分之二。将形核激活能引入动力学模型对提高模型精度起到了至关重要的作用。

关键词:

Research Article

Description of martensitic transformation kinetics in Fe–C–X (X = Ni, Cr, Mn, Si) system by a modified model

+ Author Affiliations

1)
State Key Laboratory of Advanced Special Steels & Shanghai Key Laboratory of Advanced Ferrometallurgy & School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China
2)
Ansteel Beijing Research Institute Co., Ltd, Beijing 102211, China
3)
National Engineering Research Center for Magnesium Alloys, Chongqing University, Chongqing 400044, China
4)
College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China
5)
National Key Laboratory of Advanced Casting Technologies, Chongqing University, Chongqing 400044, China

Qian Li is an editorial board member for this journal and was not involved in the editorial review or the decision to publish this article. The authors declare that they have no financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Corresponding authors:
Qun Luo E-mail: qunluo@shu.edu.cn

Qian Li E-mail: cquliqian@cqu.edu.cn
Received: 31 August 2023; Revised: 1 November 2023; Accepted: 6 November 2023; Available online: 10 November 2023

Abstract

Abstract

Controlling the content of athermal martensite and retained austenite is important to improving the mechanical properties of high-strength steels, but a mechanism for the accurate description of martensitic transformation during the cooling process must be addressed. At present, frequently used semi-empirical kinetics models suffer from huge errors at the beginning of transformation, and most of them fail to exhibit the sigmoidal shape characteristic of transformation curves. To describe the martensitic transformation process accurately, based on the Magee model, we introduced the changes in the nucleation activation energy of martensite with temperature, which led to the varying nucleation rates of this model during martensitic transformation. According to the calculation results, the relative error of the modified model for the martensitic transformation kinetics curves of Fe–C–X (X = Ni, Cr, Mn, Si) alloys reached 9.5% compared with those measured via the thermal expansion method. The relative error was approximately reduced by two-thirds compared with that of the Magee model. The incorporation of nucleation activation energy into the kinetics model contributes to the improvement of its precision.
- Fe–C–X system;
- martensitic transformation;
- kinetics curve;
- semi-empirical model;
- nucleation activation energy

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