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| 1 | Mn18Cr18N钢室温拉压循环加载力学行为和微观组织演变机理显示文摘通过室温拉压循环加载试验,研究了Mn18Cr18N钢在±0.005~±0.10应变幅范围内的循环加载力学行为和微观组织演变。采用光学显微镜和透射电子显微镜观察了Mn18Cr18N钢包括金相组织、位错形态以及形变孪晶等亚结构在内的微观组织演变。研究结果表明,Mn18Cr18N钢在拉压循环加载中,循环力学特性和应变幅有关,随着循环应变幅的增大,Mn18Cr18N钢的循环应力幅呈现增大趋势。在应变幅为±0.10时,Mn18Cr18N钢经过1个周期循环加载后,流变应力为988.1 MPa,为0.2%初始屈服强度的1.6倍,这说明采用大应变幅循环加载提高了Mn18Cr18N钢的累积塑性应变,从而显著提高了强度。在较低应变幅(±0.005~±0.01)条件下,Mn18Cr18N钢的变形主要以平面滑移为主,位错重排和其他滑移系的激活是造成Mn18Cr18N钢循环软化的主要原因。应变幅较大时,高位错增殖使基体内应力升高,局部区域滑移困难,孪生机制被激活,Mn18Cr18N钢总体上呈现循环强化特性。 | 李飞 张华煜 陈慧琴 | 2023 | 锻压技术2023，48，8： | 0 |
| 2 | Processing map and dynamic recrystallization behaviours of 316LN-Mn austenitic stainless steel显示文摘The hot deformation behaviours of 316LN-Mn austenitic stainless steel were investigated by uniaxial isothermal compression tests at different temperatures and strain rates.The microstructural evolutions were also studied using electron backscatter diffraction.The flow stress decreases with the increasing temperature and decreasing strain rate.A constitutive equation was established to characterize the relationship among the deformation parameters,and the deformation activation energy was calculated to be 497.92 k J/mol.Processing maps were constructed to describe the appropriate processing window,and the optimum processing parameters were determined at a temperature of 1107-1160℃ and a strain rate of 0.005-0.026 s^(-1).Experimental results showed that the main nucleation mechanism is discontinuous dynamic recrystallization(DDRX),followed by continuous dynamic recrystallization(CDRX).In addition,the formation of twin boundaries facilitated the nucleation of dynamic recrystallization. | Shaolong Sheng Yanxin Qiao Ruzong Zhai Mingyue Sun Bin Xu | 2023 | International Journal of Minerals,Metallurgy and Materials2023，30，12： | 0 |
| 3 | 稀土铈添加对Fe-80Ni坡莫合金洁净度及磁性能的影响显示文摘Fe-80Ni坡莫合金的磁性能是研究人员关注的重点,洁净度是影响合金磁性的重要因素。稀土铈因其优异的脱氧、脱硫能力,成为冶金工业中备受欢迎的添加剂。本研究通过在冶炼中添加稀土铈来改善合金洁净度,从而提高合金的磁性能。在真空感应炉冶炼过程中,通过添加铈对合金深度净化后,合金的氧、硫含量降到很低的水平,合金中夹杂物数量显著降低,合金中的夹杂物被改质成为含铈夹杂。含铈夹杂在合金变形过程中不易变形、破碎,不会出现聚集状态,减小夹杂物对合金磁性能的负面影响。Fe-80Ni经添加稀土铈处理后其磁化率上升,矫顽力下降。 | 姚科安 董艳伍 姜周华 王永 孙经哲 | 2023 | Journal of Central South University2023，30，10： | 0 |
| 4 | Flow characteristics and hot workability of a typical low-alloy high-strength steel during multi-pass deformation显示文摘Heavy components of low-alloy high-strength(LAHS) steels are generally formed by multi-pass forging. It is necessary to explore the flow characteristics and hot workability of LAHS steels during the multi-pass forging process, which is beneficial to the formulation of actual processing parameters. In the study, the multi-pass hot compression experiments of a typical LAHS steel are carried out at a wide range of deformation temperatures and strain rates. It is found that the work hardening rate of the experimental material depends on deformation parameters and deformation passes, which is ascribed to the impacts of static and dynamic softening behaviors. A new model is established to describe the flow characteristics at various deformation passes. Compared to the classical Arrhenius model and modified Zerilli and Armstrong model, the newly proposed model shows higher prediction accuracy with a confidence level of 0.98565. Furthermore, the connection between power dissipation efficiency(PDE) and deformation parameters is revealed by analyzing the microstructures. The PDE cannot be utilized to reflect the efficiency of energy dissipation for microstructure evolution during the entire deformation process, but only to assess the efficiency of energy dissipation for microstructure evolution in a specific deformation parameter state.As a result, an integrated processing map is proposed to better study the hot workability of the LAHS steel, which considers the effects of instability factor(IF), PDE, and distribution and size of grains. The optimized processing parameters for the multi-pass deformation process are the deformation parameters of 1223–1318 K and 0.01–0.08 s^(-1). Complete dynamic recrystallization occurs within the optimized processing parameters with an average grain size of 18.36–42.3 μm. This study will guide the optimization of the forging process of heavy components. | Mingjie Zhao Lihong Jiang Changmin Li Liang Huang Chaoyuan Sun Jianjun Li Zhenghua Guo | 2024 | International Journal of Minerals,Metallurgy and Materials2024，31，2： | 0 |
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