Liu Huiping, Xiao Mingkun, Hao Jiannan, Ma Xinjie, Jiang Ni, Peng Qing, Ye Chao
Institute of Clean Energy, Yangtze River Delta Research Institute, Northwestern Polytechnical University, Taicang 215400, China.
School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Nanomaterials (Basel). 2025 Jan 5;15(1):71. doi: 10.3390/nano15010071.
Continuous and interrupted low cycle fatigue tests were conducted on nuclear-grade S30408 stainless steel under different stress conditions at room temperature. Vickers hardness testing and microstructure characterization were performed on the fatigue samples with different fatigue states. The evolutionary mechanism of the microstructure defects in materials under fatigue cyclic loading was discussed. The traditional Basquin formula was used to predict the fatigue life of these fatigue samples. At the same time, a quantitative mechanical model related to the characteristic micro-defects parameter KAM and the Vickers hardness (H) was established for the S30408 stainless steel during the low cycle fatigue damage process, and the prediction accuracy of the Vickers hardness is greater than 90%, which is significant and useful for the fatigue life prediction of the 304 stainless steels used in nuclear systems and the safe operation of the reactors.
在室温下，对核级S30408不锈钢在不同应力条件下进行了连续和间断低周疲劳试验。对处于不同疲劳状态的疲劳试样进行了维氏硬度测试和微观结构表征。讨论了材料在疲劳循环加载下微观结构缺陷的演化机制。采用传统的巴斯昆公式预测这些疲劳试样的疲劳寿命。同时，针对S30408不锈钢在低周疲劳损伤过程建立了一个与特征微缺陷参数KAM和维氏硬度（H）相关的定量力学模型，维氏硬度的预测准确率大于90%，这对于核系统中使用的304不锈钢的疲劳寿命预测以及反应堆的安全运行具有重要意义和实用价值。
