拱顶储罐罐顶缺陷漏磁检测技术研究OA北大核心CSTPCD
Research on magnetic flux leakage detection technology for defects in domed roof storage tanks
针对拱顶储罐在长期使用过程中,罐顶因环境因素和储存介质的影响造成内外壁腐蚀损伤而严重威胁储罐安全运行的问题,对拱顶储罐罐顶进行了缺陷漏磁检测技术研究.建立了罐顶漏磁检测三维模型,并采用有限元分析方法对该模型进行求解;分析不同影响因素对漏磁信号特征的影响,通过对漏磁场峰值的拟合,得到了不同影响因素对罐顶缺陷漏磁场的影响规律.结果表明,外壁半球形缺陷漏磁检测信号峰值与缺陷半径符合线性拟合规律,内壁半球形缺陷漏磁检测信号峰值与缺陷半径符合二次拟合规律,加强肋处形成的漏磁检测信号与缺陷检测信号波形相反.通过试验验证了漏磁检测方法能有效检测储罐罐顶的缺陷,并能确定缺陷的深度和位置.
In view of the problem that the safe operation of the tank roof is seriously threatened by corrosion damage on both the inner and outer walls due to the effects of environmental factors and the contents stored in the long-term operation of the domed roof storage tank,the study of magnetic flux leakage detection technology for the domed roof of these storage tanks was carried out.A three-dimensional model for magnetic flux leakage detection of the tank dome was built,and finite element analysis was employed to solve this model.The influence of different influencing factors on the characteristics of magnetic flux leakage signal was analyzed,and the influence of different influencing factors on the leakage magnetic field of the tank dome defect was obtained by fitting the peak value of the leakage magnetic field.The results show that the peak value of the magnetic flux leakage detection signal for outer wall hemispherical defects aligns linearly with the defect radius,while for inner wall hemispherical defects,it follows a quadratic fitting curve.The magnetic flux leakage detection signal generated at the reinforcement ribs has a waveform opposite to that of the defect detection signal.Laboratory experiments on magnetic flux leakage detection of the tank domed roof show that this method can effectively detect defects on the domed roof of storage tanks,as well as ascertain the depth and location of these defects.
杨志军;赵亚忠;蒙昌彭;张博文
东北石油大学 机械科学与工程学院,黑龙江大庆 163318
机械工程
拱顶储罐罐顶漏磁检测有限元分析曲率半径加强肋
domed roof storage tankmagnetic flux leakage detectionfinite element analysisradius of curvaturereinforcing rib
《压力容器》 2024 (004)
1-8,42 / 9
国家市场监督管理总局科技计划项目(2022MK162);浙江省市场监督管理局科技计划项目(20200119)
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