碳纤维增强复合平板新型涡流探头的仿真与试验研究
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摘要
针对碳纤维增强复合材料平板断丝缺陷开发了一种新型涡流探头,采用激励线圈与检测线圈中心轴线相互垂直的独特设计弱化主磁场干扰,并以仿真数值分析方法证明了设计方式的优越性;研制探头,建立检测系统,并开展试验进行表面缺陷与隐藏缺陷的初步研究。结果表明,设计开发的涡流探头可以极大的提高传感器的灵敏度。此外,与仿真结果一致,此传感器对材料板表面缺陷具有很强的敏感性,而且能有效检测碳纤维增强复合材料板埋深2 mm～4 mm的隐藏损伤。
A new eddy current probe is developed for broken wires defect of carbon fiber reinforced plastic plates,which is designed for all coil centers located in one line with perpendicular center lines of excitation and detection coils to weak the interference of main magnetic field. A 3 D finite element model was established to prove this superiority. Moreover,the probe was created;testing system was performed;and experiments were carried out the preliminary study to test the surface and hidden defects in plate. The results show that the developed eddy current probe can greatly improve the sensitivity of the sensor. In addition,consistent with the simulation,this sensor has a strong sensitivity to the surface defects of the material plate. Furthermore,it also can effectively detect the hidden damage of the carbon fiber reinforced composite plate buried at a depth of 2 mm～4 mm.
A new eddy current probe is developed for broken wires defect of carbon fiber reinforced plastic plates,which is designed for all coil centers located in one line with perpendicular center lines of excitation and detection coils to weak the interference of main magnetic field. A 3 D finite element model was established to prove this superiority. Moreover,the probe was created;testing system was performed;and experiments were carried out the preliminary study to test the surface and hidden defects in plate. The results show that the developed eddy current probe can greatly improve the sensitivity of the sensor. In addition,consistent with the simulation,this sensor has a strong sensitivity to the surface defects of the material plate. Furthermore,it also can effectively detect the hidden damage of the carbon fiber reinforced composite plate buried at a depth of 2 mm～4 mm.
引文
[1] 沈建忠,林俊明.现代复合材料的无损检测技术[M].北京,国防工业出版社,2016.
[2] 贺冠强,刘永江,李华,等.轨道交通装备碳纤维复合材料的应用[J].机车电传动,2017(2):5-8.
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[7] 杨玉娥,闫天婷,任保胜.复合材料中碳纤维方向和弯曲缺陷的微波检测[J].航空材料学报,2015,35(6):91-96.
[8] 宋凯,王冲,张丽攀,等.航空发动机涡轮叶片裂纹的自动仿形涡流检测系统设计及试验研究[J].航空制造技术,2018,61(19):45-49,57.
[9] Hao J,Yin W,Zhao Q,et al.Preconditioning of Projected SIRT Algorithm for Electromagnetic Tomography[J].Flow Measurement & Instrumentation,2013,29(29):39-44.
[10] Yin W,Withers P J,Sharma U,et al.Noncontact Characterization of Carbon Fiber Reinforced Plastics Using Multi-Frequency Eddy Current Sensors[J].IEEE Transactions on Instrumentation and Measurement,2009,58(3):738-743.
[11] Ma L.Magnetic Induction Tomography for Non-Destructive Evaluation and Process Tomography[D].University of Bath,2014:6-13.
[12] 许羽,刘泽,程轶平.电磁层析无损检测系统中碳纤维复合材料缺陷重建的仿真[J].无损检测,2011,33(6):23-26.
[13] 李雯.电磁层析成像传感器阵列结构及三维图像重建研究[D].北京:北京交通大学,2016.
[14] Watson S,Williams R J,Gough W,et al.A Magnetic Induction Tomography System for Samples with Conductivities Below 10 S m-1[J].Measurement Science & Technology,2008,19(4):88-91.孟杞凤(1992-),女,河南开封人,南昌航空大学测试与光电工程学院研究生,工作于中国人民解放军第五七零二厂,研究方向为电磁检测技术、碳纤维复合材料缺陷检测与评价,meng-qifeng@qq.com;宋凯(1975-),男,沈阳锦州人,南昌航空大学测试与光电工程学院硕士生导师,教授,主要研究方向为电磁无损检测仪器与装备、电磁无损检测新技术、测控技术与系统、检测信号处理与识别。研制了航空发动机叶片涡流自动探伤线已应用于实践,songkai@nchu.edu.cn;孙莎莎(1992-),女,江西九江人,毕业于南昌航空大学测控技术与仪器专业,现工作于中国人民解放军第五七零二厂,研究方向为电磁检测技术,渗透检测技术,超声检测技术,1251747551@qq.com。
[2] 贺冠强,刘永江,李华,等.轨道交通装备碳纤维复合材料的应用[J].机车电传动,2017(2):5-8.
[3] D’Orazio T,Distante A,Pianese V,et al.Automatic Ultrasonic Inspection for Internal Defect Detection in Composite Materials[J].Ndt & E International,2008,41(2):145-154.
[4] Wang Z,Luo Y,Zhao G,et al.Design an OPCM Phased Array Transducer for Damage Detection in Concrete Structure.Research in Nondestructive Evaluation.2016,27(4):204-215.
[5] Song Y,Zhang W,Wang D.Research of Detectivity for Ultrasonic Infrared Thermography NDT in Composite Materials[J].Applied Mechanics & Materials,2012,(148):914-918.
[6] 史建军,李得天.碳纤维复合材料气瓶的X射线实时成像技术[J].宇航材料工艺,2009,39(6):65-66.
[7] 杨玉娥,闫天婷,任保胜.复合材料中碳纤维方向和弯曲缺陷的微波检测[J].航空材料学报,2015,35(6):91-96.
[8] 宋凯,王冲,张丽攀,等.航空发动机涡轮叶片裂纹的自动仿形涡流检测系统设计及试验研究[J].航空制造技术,2018,61(19):45-49,57.
[9] Hao J,Yin W,Zhao Q,et al.Preconditioning of Projected SIRT Algorithm for Electromagnetic Tomography[J].Flow Measurement & Instrumentation,2013,29(29):39-44.
[10] Yin W,Withers P J,Sharma U,et al.Noncontact Characterization of Carbon Fiber Reinforced Plastics Using Multi-Frequency Eddy Current Sensors[J].IEEE Transactions on Instrumentation and Measurement,2009,58(3):738-743.
[11] Ma L.Magnetic Induction Tomography for Non-Destructive Evaluation and Process Tomography[D].University of Bath,2014:6-13.
[12] 许羽,刘泽,程轶平.电磁层析无损检测系统中碳纤维复合材料缺陷重建的仿真[J].无损检测,2011,33(6):23-26.
[13] 李雯.电磁层析成像传感器阵列结构及三维图像重建研究[D].北京:北京交通大学,2016.
[14] Watson S,Williams R J,Gough W,et al.A Magnetic Induction Tomography System for Samples with Conductivities Below 10 S m-1[J].Measurement Science & Technology,2008,19(4):88-91.孟杞凤(1992-),女,河南开封人,南昌航空大学测试与光电工程学院研究生,工作于中国人民解放军第五七零二厂,研究方向为电磁检测技术、碳纤维复合材料缺陷检测与评价,meng-qifeng@qq.com;宋凯(1975-),男,沈阳锦州人,南昌航空大学测试与光电工程学院硕士生导师,教授,主要研究方向为电磁无损检测仪器与装备、电磁无损检测新技术、测控技术与系统、检测信号处理与识别。研制了航空发动机叶片涡流自动探伤线已应用于实践,songkai@nchu.edu.cn;孙莎莎(1992-),女,江西九江人,毕业于南昌航空大学测控技术与仪器专业,现工作于中国人民解放军第五七零二厂,研究方向为电磁检测技术,渗透检测技术,超声检测技术,1251747551@qq.com。