• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2018, Vol. 54 ›› Issue (24): 1-6.doi: 10.3901/JME.2018.24.001

• 仪器科学与技术 •    下一篇

U型磁轭励磁时磁巴克豪森噪声信号分布规律研究

郑阳, 沈功田, 谭继东, 张宗健   

  1. 中国特种设备检测研究院 北京 100029
  • 收稿日期:2017-10-11 修回日期:2018-05-10 出版日期:2018-12-20 发布日期:2018-12-20
  • 通讯作者: 沈功田(通信作者),男,1963年出生,博士,研究员,博士研究生导师。主要研究方向为特种设备安全,无损检测新技术等。E-mail:shengongtian@csei.org.cn
  • 作者简介:郑阳,男,博士,高级工程师。主要研究方向为电磁超声、相控阵超声、超声导波、磁声多参数等检测方法。E-mail:zhengyangchina@126.com
  • 基金资助:
    国家重点研发计划(2017YFF0209702)、国家自然科学基金(51377173)和国家质量监督检验检疫总局科技计划(2016QK195)资助项目。

Characteristis of Magnetic Barkhausen Noise with U-shaped Electromagnet Magnetizer

ZHENG Yang, SHEN Gongtian, TAN Jidong, ZHANG Zhongjian   

  1. China Special Equipment Inspection and Research Institute, Beijing 100029
  • Received:2017-10-11 Revised:2018-05-10 Online:2018-12-20 Published:2018-12-20

摘要: 磁巴克豪森噪声是材料性能和应力状态检测的重要技术之一,材料磁化时磁巴克豪森噪声信号发射分布状况以及信号接收器的位置直接决定着所获取原始信号结果,进而对后期结果评判具有非常重要的影响。研究得到了U型磁轭励磁方式不同励磁条件下材料表层磁巴克豪森噪声信号的发射强度分布。试验使用缠绕于磁芯上的线圈作为接收器,采用逐点测试方法获取Q235材料表面磁巴克豪森噪声信号分布图。通过这些信号分布图,得了材料磁化强度与巴克豪森噪声信号发射强度分布的关系,以及信号接收器位置对接收信号的影响。

关键词: 传感器优化, 磁巴克豪森噪声, 发射强度, 信号分布

Abstract: Magnetic Barkhausen Noise is one of the important techniques for material performance and stress state detection. When the material is magnetized, the position of the Barkhausen Noise transmission and the position of the signal receiver directly determine the acquired signal. Eventually affecting the test results. the magnetic Barkhausen noise emission intensity distribution of the material surface under different excitation conditions by exciting with U-shaped electromagnet is studied. Use the coil wrapped around the ferrite core as a receiver, scanned the distribution of the MBN signal on the surface of the test sample. Through these signal distribution, The relationship between the magnetization of the material and the emission intensity distribution of MBN was obtained, and the effect of the receiver position to the received signal.

Key words: emission intensity, magnetic Barkhausen noise, sensor optimization, signal distribution

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