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Characterisation of surface and sub-surface discontinuities in metals using pulsed eddy current sensors

机译:使用脉冲涡流传感器表征金属中的表面和次表面不连续性

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摘要

Due primarily to today's rigorous safety standards the focus of non-destructive testing (NDT) has shifted from flaw detection to quantitative NIDT, where characterisation of flaws is the objective. This means information such as the type of flaw and its size is desired. The Pulsed Eddy Current (PEC) technique has been acknowledged as one of the potential contenders for providing this additional functionality, due to the potential richness of the information that it provides. The parameters mainly used to obtain information about the detected flaws are the signal's peak height and arrival time. However, it has been recognised that these features are not sufficient for defect classification. In this research, based on a comprehensive literature survey, the design of PEC systems and the interpretation of PEC signals, mainly for flaw classification, are studied. A PEC system consisting of both hardware and software components has been designed and constructed to facilitate the research work on PEC signal interpretation. After a comparative study of several magnetic sensing devices, probes using Hall device magnetic sensors have also been constructed. Some aspects related to probe design, such as coil dimensions and the use of ferrite core and shielding have also been studied. A new interpretation technique that uses the whole part of PEC responses and is able to produce more features has been proposed. The technique uses Principal Component Analysis (PCA) and Wavelet Transforms, and attempts to find the best features for discrimination from extracted time and frequency domain data. The simultaneous use of both temporal and spectral data is a logically promising extension to the use of time domain only with the signal-peak-based technique. Experiments show that the new 1 technique is promising as it performs significantly better than the conventional technique using peak value and peak time of PEC signals in the classification of flaws. A hierarchical structure for defect classification and quantification has been presented. Experiments in the project have also shown that the signal-peak-based technique cannot be used for flaw detection and characterisation in steels, both with and without magnetisation. The new proposed technique has shown to have potential for this purpose when magnetisation is used. The new technique proposed in the report has been successfully used for ferromagnetic and non-ferromagnetic materials. It has also been demonstrated that the new proposed technique performs better in dynamic behaviour tests, which shows its better potential for on-line dynamic NDT inspection which is required in many industrial applications. In addition to testing calibrated samples with different discontinuities, a study case using an aircraft lap joint sample from industry has further supported the statement regarding the potential of the new technique.
机译:归因于当今严格的安全标准,无损检测(NDT)的重点已从探伤转移到定量NIDT,以表征缺陷为目标。这意味着需要诸如缺陷类型及其大小之类的信息。脉冲涡流(PEC)技术由于其所提供信息的潜在丰富性而被公认为是提供此附加功能的潜在竞争者之一。用于获取有关检测到的缺陷的信息的主要参数是信号的峰值高度和到达时间。但是,已经认识到这些特征不足以进行缺陷分类。在这项研究中,基于全面的文献调查,研究了主要用于缺陷分类的PEC系统的设计和PEC信号的解释。设计并构建了一个由硬件和软件组成的PEC系统,以促进PEC信号解释的研究工作。在对几种磁感测设备进行比较研究之后,还构造了使用霍尔器件磁传感器的探头。还研究了与探头设计有关的某些方面,例如线圈尺寸以及铁氧体磁芯和屏蔽层的使用。已经提出了一种新的解释技术,该技术使用了PEC响应的全部内容,并且能够产生更多特征。该技术使用主成分分析(PCA)和小波变换,并尝试找到最佳特征以区别于提取的时域和频域数据。时间和频谱数据的同时使用在逻辑上是有前途的扩展,仅通过基于信号峰值的技术来扩展时域。实验表明,新的1技术是有希望的,因为它在缺陷分类中的性能明显优于使用PEC信号的峰值和峰值时间的常规技术。已经提出了用于缺陷分类和量化的分层结构。该项目的实验还表明,无论有无磁化,基于信号峰值的技术都不能用于钢中的探伤和表征。当使用磁化时,新提出的技术已显示出用于此目的的潜力。报告中提出的新技术已成功用于铁磁和非铁磁材料。还已经证明,新提出的技术在动态行为测试中表现更好,这表明了其在许多工业应用中需要的在线动态NDT检查的更好潜力。除了测试具有不同间断性的校准样品外,使用行业飞机搭接接头样品的研究案例进一步支持了有关新技术潜力的陈述。

著录项

  • 作者

    Sophian Ali;

  • 作者单位
  • 年度 2003
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
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