基于漏磁内检测的管道环焊缝缺陷识别与判定

发布时间：2019-05-10 13:14

【摘要】：为了实现基于漏磁内检测的管道环焊缝缺陷的有效识别与判定,对环焊缝异常信号的特征及其影响因素进行了分析。通过漏磁信号有限元仿真分析与内检测牵拉试验,系统分析了管道磁化水平、传感器提离值、环焊缝余高,环焊缝缺陷形状、位置及开口方位等因素对缺陷漏磁场的影响,明确了环焊缝缺陷与漏磁信号特征之间的对应关系,提出了基于漏磁内检测信号的环焊缝缺陷分类方法。将环焊缝缺陷分成了4类,并给出了环焊缝缺陷的漏磁内检测检出率和识别准确率。现场开挖验证结果进一步验证了识别与分类判定结果的准确性,为基于漏磁内检测的环焊缝缺陷识别与判定技术工业化应用奠定了基础。
[Abstract]:In order to effectively identify and judge the defects of pipeline circumferential welds based on magnetic flux leakage (MFL) internal detection, the characteristics and influencing factors of the abnormal signals of annular welds are analyzed. Through the finite element simulation analysis of magnetic flux leakage signal and the traction test of internal detection, the effects of the magnetization level of pipeline, the lifting value of sensor, the residual height of ring weld, the shape, position and opening azimuth of ring weld on the magnetic leakage field of defect are systematically analyzed. The relationship between ring weld defects and magnetic flux leakage (MFL) signal characteristics is clarified, and a classification method of ring weld defects based on magnetic flux leakage (MFL) internal detection signals is proposed. The defects of ring welds are divided into four types and the detection rate and recognition accuracy of inner magnetic flux leakage (MFL) of ring weld defects are given. The on-site excavation verification results further verified the accuracy of identification and classification results, which laid the foundation for industrial application of ring weld defect identification and judgment technology based on magnetic flux leakage internal detection.
【作者单位】：中国石油管道科技研究中心/中国石油天然气集团公司油气储运重点实验室;
【基金】：中国石油天然气集团公司科研项目“油气管道输送实(试)验新方法和新技术开发”,2015D-5008-39(GF);中国石油天然气集团公司科研项目“油气管道裂纹风险识别与检测评价技术前期研究”,2016B-3107-0502
【分类号】：TE973.6

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