Investigation of hot deformation behavior of forged 42CrMoA steel by cellular automata method based on topological deformation technique

IF 3.9 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Journal of Materials Science Pub Date : 2024-04-21 DOI:10.1007/s10853-024-09649-7
Xingwang Duan, Yingqing Chen, Yue Jia, Xin Che, Jiachen Liu
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Abstract

To investigate the dynamic recrystallization (DRX) behavior of forged 42CrMoA steel during hot deformation, the hot deformation experiments of forged 42CrMoA steel under different deformation conditions (strain rate, temperature, and strain) were carried out in this paper. The hot deformation activation energy of forged 42CrMoA steel was determined to be \(413627.2\;{\text{J}}\; \cdot{\text{mol}}^{ - 1}\). The constitutive model and DRX kinetic model of the steel were established. Analyzing the reconstructed parent phase grains reveals that when the strain is constant, as the deformation temperature increases and the strain rate decreases, the average size and DRX volume fraction of the parent phase grains gradually increase, and the peak stress gradually decreases. When the deformation temperature and strain rate are constant, as the strain increases, the average size of the parent phase grains gradually decreases, and the volume fraction of DRX gradually increases. Based on the cellular automaton theory model and considering the influence of grain deformation on the DRX process, a cellular automaton dynamic recrystallization (T-DRX-CA) model for forged 42CrMoA steel based on topological deformation technology was established, and the microstructure evolution under different deformation conditions was simulated. The microstructure evolution under different deformation conditions was simulated, which was compared with experimental results. The results showed that the average errors between the simulated and experimental values of the average grain size of the parent phase, the volume fraction of DRX, and peak stress were all less than 8%, and the simulated results were in good agreement with the experimental values, which indicates that the established model can accurately predict the DRX behavior of the forged 42CrMoA steel in the process of hot deformation.

Graphical abstract

The hot deformation behavior of forged 42CrMoA steel under different deformation conditions was investigated by a cellular automaton dynamic recrystallization (T-DRX-CA) model based on topological deformation technique. The results showed that the average errors between the simulated and experimental values of the average grain size of the parent phase, the volume fraction of DRX, and peak stress were all less than 8%, and the simulated results were in good agreement with the experimental values, which indicates that the established model can accurately predict the DRX behavior of the forged 42CrMoA steel in the process of hot deformation.

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基于拓扑变形技术的细胞自动机方法研究锻造 42CrMoA 钢的热变形行为
为了研究锻造42CrMoA钢在热变形过程中的动态再结晶(DRX)行为,本文进行了锻造42CrMoA钢在不同变形条件(应变速率、温度和应变)下的热变形实验。确定了锻造 42CrMoA 钢的热变形活化能为(413627.2\;{text{J}}\; \cdot{text{mol}}^{ - 1}\)。建立了钢的构成模型和 DRX 动力模型。分析重建的母相晶粒可以发现,当应变恒定时,随着变形温度的升高和应变速率的减小,母相晶粒的平均尺寸和DRX体积分数逐渐增大,峰值应力逐渐减小。当变形温度和应变速率不变时,随着应变的增加,母相晶粒的平均尺寸逐渐减小,DRX 的体积分数逐渐增加。基于细胞自动机理论模型,并考虑到晶粒变形对 DRX 过程的影响,建立了基于拓扑变形技术的 42CrMoA 钢锻造细胞自动机动态再结晶(T-DRX-CA)模型,并模拟了不同变形条件下的微观组织演变过程。模拟了不同变形条件下的微观组织演变过程,并与实验结果进行了对比。结果表明,母相平均晶粒尺寸、DRX 体积分数和峰值应力的模拟值与实验值的平均误差均小于 8%,模拟结果与实验值吻合良好,这表明所建立的模型可以准确预测锻造 42CrMoA 钢在热变形过程中的 DRX 行为。图解摘要基于拓扑变形技术的细胞自动机动态再结晶(T-DRX-CA)模型研究了锻造 42CrMoA 钢在不同变形条件下的热变形行为。结果表明,母相平均晶粒尺寸、DRX 体积分数和峰值应力的模拟值与实验值的平均误差均小于 8%,模拟结果与实验值吻合良好,表明所建立的模型可以准确预测锻造 42CrMoA 钢在热变形过程中的 DRX 行为。
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来源期刊
Journal of Materials Science
Journal of Materials Science 工程技术-材料科学:综合
CiteScore
7.90
自引率
4.40%
发文量
1297
审稿时长
2.4 months
期刊介绍: The Journal of Materials Science publishes reviews, full-length papers, and short Communications recording original research results on, or techniques for studying the relationship between structure, properties, and uses of materials. The subjects are seen from international and interdisciplinary perspectives covering areas including metals, ceramics, glasses, polymers, electrical materials, composite materials, fibers, nanostructured materials, nanocomposites, and biological and biomedical materials. The Journal of Materials Science is now firmly established as the leading source of primary communication for scientists investigating the structure and properties of all engineering materials.
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