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作者:

Li, Peng (Li, Peng.) | Wang, Xianxian (Wang, Xianxian.) | Ding, Dongdong (Ding, Dongdong.) | Gao, Zhaoxiang (Gao, Zhaoxiang.) | Fang, Wen (Fang, Wen.) | Zhang, Chaolei (Zhang, Chaolei.) | He, Cunfu (He, Cunfu.) | Liu, Xiucheng (Liu, Xiucheng.) (学者:刘秀成)

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EI Scopus SCIE

摘要:

Magnetic Barkhausen noise (MBN), sensitive to the microstructure of materials, can be applied in the surface decarburization depth detection of ferromagnetic specimens. However, the effects of core microstructures on the determination results of decarburization depth have not been explored. In this study, MBN was employed to evaluate the magnetic properties of the decarburized 60Si2Mn spring steels with martensitic and pearlitic core microstructures. Spring steel samples were austenitized at different times to generate different decarburization depths. Seven magnetic features were extracted from the MBN butterfly profiles. We used the variation coefficient, linear correlation coefficient, and normalized sensitivity to discuss the influence of the core microstructures on these seven features. The different core microstructures led to a large difference in the ability of MBN features to characterize the decarburization layer depth. However, three features of MBN butterfly profiles demonstrated an approximately linear dependency (linear correlation coefficient > 94%) on surface decarburization depth and monotonically increased with the increase in depth in both core microstructures of spring steels.

关键词:

magnetic Barkhausen noise surface decarburization depth spring steel core microstructure

作者机构:

  • [ 1 ] [Li, Peng]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Xianxian]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Ding, Dongdong]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Gao, Zhaoxiang]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 5 ] [He, Cunfu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Liu, Xiucheng]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 7 ] [Fang, Wen]Univ Sci & Technol Beijing, Sch Mat Sci & Engn, Beijing 100083, Peoples R China
  • [ 8 ] [Zhang, Chaolei]Univ Sci & Technol Beijing, Sch Mat Sci & Engn, Beijing 100083, Peoples R China

通讯作者信息:

  • [Liu, Xiucheng]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China;;

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来源 :

SENSORS

年份: 2023

期: 1

卷: 23

3 . 9 0 0

JCR@2022

ESI学科: CHEMISTRY;

ESI高被引阀值:20

被引次数:

WoS核心集被引频次: 2

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

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