摘要
在350℃下对17-4PH不锈钢进行加速热老化后开展力学试验、磁滞回线测试试验与磁多参数测试试验,结果表明,17-4PH不锈钢热老化后冲击功下降,硬度上升。磁滞回线表明热老化对17-4PH不锈钢的宏观磁性无明显影响,且磁参数呈无规律性波动。应用人工神经网络选取合适的节点数与算法,可建立17-4PH不锈钢热老化的多参数高精度评估模型,为17-4PH不锈钢的热老化评估提供新的方法。
The mechanical experiment, hysteresis loop test and multi-magnetic parameters test were carried out after accelerated thermal aging of 17-4 PH under 350℃. Results show that the impact energy of 17-4 PH decrease while the hardness increase after thermal aging. The hysteresis loop shows that thermal aging has no impact on macroscopic magnetism of 17-4 PH and the magnetic parameters show no regular change. Through the application of artificial neural network, the proper node and algorithmic was chosen to build the precise module to evaluate the thermal aging of 17-4 PH, which provide a new way to evaluate the thermal aging of 17-4 PH.
作者
褚英杰
孙琦
李乾武
史芳杰
黄飞
杨广宇
CHU Yingjie;SUN Qi;LI Qianwu;SHI Fangjie;HUANG Fei;YANG Guangyu(Fujian Ningde Nuclear Power Co.,Ltd.,Ningde 352000,China;Suzhou Nuclear Power Research Institute Co.,Ltd.,Suzhou 215000,China)
出处
《无损检测》
CAS
2021年第5期29-33,共5页
Nondestructive Testing