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[1]周兆明,张佳,谷翠琳.基于交流电磁场裂纹缺陷识别仿真研究[J].中国安全生产科学技术,2018,14(12):146-151.[doi:10.11731/j.issn.1673-193x.2018.12.024]
 ZHOU Zhaoming,ZHANG Jia,GU Cuilin.Simulation research on crack defect identification based on alternating current electromagnetic field[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(12):146-151.[doi:10.11731/j.issn.1673-193x.2018.12.024]
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基于交流电磁场裂纹缺陷识别仿真研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
14
期数:
2018年12期
页码:
146-151
栏目:
职业安全卫生管理与技术
出版日期:
2018-12-31

文章信息/Info

Title:
Simulation research on crack defect identification based on alternating current electromagnetic field
文章编号:
1673-193X(2018)-12-0146-06
作者:
周兆明1 张佳1 谷翠琳2
(1.西南石油大学 机电工程学院,四川,成都 610500;2.西南油气田分公司川西北气矿,四川 成都 621700)
Author(s):
ZHOU Zhaoming1 ZHANG Jia1 GU Cuilin2
(1. School of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu Sichuan 610500, China;2. School of Petroleum and Natural Gas Engineering, Southwest Petroleum University, Chengdu Sichuan 610500, China)
关键词:
交流电磁场缺陷仿真检测特征信号
Keywords:
alternating current (AC) electromagnetic field defect simulation detection characteristic signal
分类号:
X934
DOI:
10.11731/j.issn.1673-193x.2018.12.024
文献标志码:
A
摘要:
为了研究基于交流电磁场裂纹缺陷识别问题,调研了交流电磁场检测的国内外现状,结合交流电磁场技术,利用有限元分析软件ANSYS Maxwell构建常见的裂纹缺陷模型,进行仿真分析。研究了缺陷尺寸的识别以及不同缺陷簇群对交流电磁场(Alternating Current Field Measurement,ACFM)检测信号特征的影响,对提取的Bx和Bz(沿坐标轴X方向和Z方向的磁感应强度)特征信号的影响进行了分析与探讨,得到影响ACFM技术的核心参数,并建立了缺陷深度和长度的测量评估方法。研究结果表明:通过测量Bz曲线的峰谷间距可初步确定缺陷长度; Bx曲线检测同时受缺陷深度和缺陷长度的影响,对于缺陷深度检测灵敏度较低;ACFM技术虽能够实现对缺陷个数的识别,但难以准确识别缺陷尺寸的大小,当缺陷间的距离足够大时,才能准确实现缺陷的定量识别。
Abstract:
In order to study the problem of crack defect identification based on the alternating current (AC) electromagnetic field, the current status of AC electromagnetic field detection at home and abroad was investigated. Combined with the alternating electromagnetic field technology, a common crack defect model was constructed by using the finite element analysis software ANSYS Maxwell to carry out the simulation analysis. The identification of defect size and the influence of different defect clusters on the characteristics of alternating current field measurement (ACFM) detection signals were studied. The influence of extracted Bx and Bz (magnetic flux density along X axis and Z axis) characteristic signals were analyzed and discussed, then the core parameters influencing ACFM technology were obtained, and the measurement evaluation method of defect depth and defect length was established. The results showed that the defect length could be determined preliminarily by measuring the peaktovalley spacing of the Bz curve. The Bx curve detection were affected both by the defect depth and defect length, and the sensitivity for the detection of defect depth was low. Although ACFM can realize the identification of the number of defects, however, it is difficult to accurately identify the defect size, and the quantitative identification of the defect can be accurately achieved only when the distance between the defects is sufficiently large.

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备注/Memo

备注/Memo:
收稿日期: 2018-10-09
基金项目: 石油天然气装备教育部重点实验室开放课题 (OGE201702-25);国家自然科学基金项目(51504207)
作者简介: 周兆明,博士,讲师,主要研究方向为管道安全及完整性、无损检测。
通信作者: 张佳,硕士研究生,主要研究方向为管道安全防范及完整性、无损检测。
更新日期/Last Update: 2019-01-03