摘要
M50轴承钢中主要的碳化物类型为MC、M_(2)C和M_(23)C_(6)。扫描电子显微镜(Scanning Electron Microscopy,SEM)下,3种碳化物的形状、尺寸和在材料中的分布存在明显的区别。有些碳化物的尺寸较大且分布不均匀。轴承受载过程中,这些碳化物会成为应力集中的区域,对轴承疲劳性能产生负面影响。为了高效地获得材料中的碳化物信息,提出一种改进的掩膜基于区域的卷积神经网络(Mask Region-based Convolutional Neural Network,Mask R-CNN)模型,可批量鉴别SEM图像中3种碳化物的种类,确定其尺寸大小及分布。网络模型输出的图像和数值结果显示,M50轴承钢中M_(2)C型碳化物尺寸大且分布不均匀,但总体尺寸最大的MC型碳化物和尺寸最小的M_(23)C_(6)型碳化物分布相对均匀。
The main types of carbides in M50 bearing steel are MC,M_(2)C and M_(23)C_(6).Under the scanning electron microscopy(SEM),they exhibit significant differences in the shape,size,and distribution.Some carbides have larger sizes and uneven distribution.They become areas of stress concentration under loading,which has a negative impact on the bearing fatigue performance.So an improved mask region-based convolutional neural network(Mask R-CNN)model was proposed which can batch identify the types of three kinds of carbides in SEM pictures,the diameters of carbides were measured,and the distribution of carbides was showed.The output images and histogram results show that the size of M_(2)C carbide in M50 bearing steel is large and unevenly distributed,but the distribution of MC carbide with the largest size and M_(23)C_(6)with the smallest size is reasonably uniform.
作者
孙瑞明
李淑欣
鲁思渊
金永生
肖华海
SUN Ruiming;LI Shuxin;LU Siyuan;JIN Yongsheng;XIAO Huahai(Faculty of Mechanical Engineering and Mechanics,Ningbo University,Ningbo 315211,China;Part Rolling Key Laboratory of Zhejiang Province,Ningbo 315211,China;Ningbo Silver-ball Technology Co.,Ltd.,Ningbo 315207,China)
出处
《机械强度》
北大核心
2025年第8期19-27,共9页
Journal of Mechanical Strength
基金
国家自然科学基金项目(52075271)
宁波市重大科技任务攻关项目(2022Z050)
慈溪市行业共性技术攻关项目(CZ2022009)。
作者简介
孙瑞明,男,1993年生,河南鹤壁人,硕士研究生,主要研究方向为机械结构强度,E-mail:15658028610@163.com;通信作者:李淑欣,女,1975年生,宁夏中卫人,博士,教授,博士研究生导师,主要研究方向为机械结构强度,E-mail:lishuxin@nbu.edu.cn。
