期刊文献+

静载荷下硅钢片的磁畴结构变化 被引量:2

Magnetic Domains Structure Chang of Silicon Steel Sheet Under Static Loads
下载PDF
导出
摘要 利用Bitter粉纹法观察了未经磁化、受力程度不同的无取向硅钢片试件的磁畴结构,对比分析了应力对磁畴及磁场值△B的影响。结果表明:无取向硅钢试件在未受力或应力集中较小时,晶粒内磁畴以180°剑状畴为主,同一晶粒内畴壁相互平行;随着应力集中程度增加,畴壁长度和间距发生改变,出现了迷宫畴,并且随着应力集中程度越大,迷宫畴的数量越多,表面磁场值△B越大。试验为探讨磁记忆检测的微观机理提供了依据。 The magnetic domains of silicon steel sheet, which was not magnetized and was loaded on different intensity or direction, were observed with the Bitter method. The effect of stresses on magnetic domains and the magnetic signals △B was then analyzed. The results show that there mainly exist 180° gladiate domains for the silicon steel sheet with low load or no load, with their walls being small in the same crystalline grain. Then, with the load enhancing, the domain walls length and space are changed and the mazy domains appear. The number of the mazy domains and the magnetic signals of △B increase with the load increasing.
出处 《无损检测》 2011年第7期11-14,共4页 Nondestructive Testing
基金 国家自然科学基金资助项目(51065022) 教育部NDT重点实验室开放基食资助项目(ZD200729012)
关键词 磁畴结构 Bitter粉纹法 迷宫畴 畴壁 Magnetic domain structure Bitter method Mazy domain Domain wall
  • 相关文献

参考文献8

二级参考文献19

  • 1黄松岭,李路明,施克仁,王晓凤.Magnetic field properties caused by stress concentration[J].Journal of Central South University of Technology,2004,11(1):23-26. 被引量:13
  • 2耿荣生,景鹏,雷洪,李伟,邵进.飞机主梁疲劳裂纹萌生声发射信号的识别方法[J].航空学报,1996,17(3):368-372. 被引量:24
  • 3尹大伟,徐滨士,董世运,董丽虹.中碳钢疲劳试验的磁记忆检测[J].机械工程学报,2007,43(3):60-65. 被引量:22
  • 4任吉林,王东升,宋凯,任尚坤,唐继红.应力状态对磁记忆信号的影响[J].航空学报,2007,28(3):724-728. 被引量:38
  • 5邸新杰,李午申,严春妍,白世武,刘方明,薛振奎.基于金属磁记忆的宏观焊接裂纹识别方法[J].中国机械工程,2007,18(12):1475-1478. 被引量:7
  • 6黄毅 许聪 等.压力容器的热成像无损评价.21世纪华人无损检测技术论坛论文集[M].珠海:知识产权出版社,2001.234-240.
  • 7耿荣生 徐章遂.利用漏磁法定量检测飞机机翼主梁螺栓孔裂纹.21世纪华人无损检测技术论坛论文集[M].珠海:知识产权出版社,2001.139-142.
  • 8Dubov A A, Demin E A, Milyaev A I, et al. The experience of gas pipeline stress-strain state control with usage of the metal magnetic memory method as compared with conventional methods and stress control means[J]. Welding in the World, 2002, 46(9) : 29-33.
  • 9Dubov A A. The method of metal magnetic memory--the new trend in engineering diagnostics [ J ]. Welding in the World, 2005, 49 (9) : 314-319.
  • 10Li W S, Di X J, Bai S W, et al. Feature analysis of metal magnetic memory signal for welding crack : based on wavelet energy spectrum [ J ]. Insight, 2006, 48(7): 426-429.

共引文献57

同被引文献7

引证文献2

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部