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Ultrasonic algorithms for calculating probe separation distance, combined with full matrix capture with the total focusing method

机译:用于计算探头分离距离的超声算法,结合全矩阵捕获,与总关注法

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摘要

Girth weld inspections play a key part in the maintenance and management of numerous different types of pipe that are mainly used within the oil & gas industry. The most modern technique for girth weld inspection exploits full matrix capture (FMC) with the total focusing method (TFM), utilising two probes in a combined pulse-echo and pitch-catch set-up. This set-up has the advantage of allowing multiple modes to be carried out within a single inspection, with the pitch-catch part requiring a precise measurement of the probe separation distance (PSD) to be determined for accurate TFM image reconstruction. This distance is the lateral measurement between the first elements of each probe. The currently accepted method for calculating this distance is through visual means (with the use of a physical measurement ruler), which suffer from operator error, the ruler not being calibrated and difficulties determining the position of the first element. This paper presents an ultrasonic measurement technique for accurately calculating the PSD by exploiting the lateral wave or the shear wave backwall response within the pitch-catch mode A-scan analysis.
机译:围绕焊缝检查在众多不同类型的管道的维护和管理中发挥关键部分,这些管道主要用于石油和天然气行业。用于周长焊接检测的最现代技术利用总对焦方法(TFM)来利用全矩阵捕获(FMC),利用组合脉冲回波和俯仰设置的两个探针。该设置具有允许在单个检查内进行多种模式的优点,并且具有精确测量探针分离距离(PSD)的精确测量以进行精确的TFM图像重建。该距离是每个探针的第一元件之间的横向测量。目前接受的计算该距离的方法是通过视觉方式(使用物理测量标尺),其遭受操作符误差,该标尺未被校准并且难以确定第一元件的位置。本文提出了一种超声波测量技术,用于通过利用横向波或扫描模式A扫描分析中的横向波或剪切波反复响应来精确计算PSD。

著录项

  • 来源
    《Insight》 |2020年第4期|199-207|共9页
  • 作者单位

    TWI Technology Centre (Wales). Mark Sutcliffe is with TWI Ltd;

    School of Engineering Manufacturing & Logistics University of Wales Trinity Saint David;

    School of Applied Computing University of Wales Trinity Saint David;

    TWI Technology Centre (Wales). Mark Sutcliffe is with TWI Ltd;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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