In-process calibration of a non-destructive testing system used for in-process inspection of multi-pass welding
In-process calibration of a non-destructive testing system used for in-process inspection of multi-pass welding
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DOI：
10.1016/j.matdes.2020.108981
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发表时间：
2020-10-01
影响因子：
8.4
通讯作者：
Gachagan, Anthony
中科院分区：
文献类型：
--
作者：
Javadi, Yashar;Sweeney, Nina E.;Gachagan, Anthony
在多道焊接中，越来越多的动力转向过程中缺陷检测，以实现实时修复；从而避免在有缺陷的焊道上沉积更多的层。所有缺陷检测技术都需要一致且可重复的校准方法，以确保测量的缺陷大小是准确的。传统的校准方法使用具有已知缺陷尺寸的固定测试块，然而，当考虑到复杂的几何结构、具有挑战性的微观结构的材料以及在通过间检查期间材料中存在的显著温度梯度时，这种方法可能导致不正确的尺寸确定。为了克服这些挑战，作者提出了一种新的校准方法，并将在线校准的概念引入到超声无损检测中。新概念的核心是制造第二个复制样品，其中包含故意嵌入的钨包裹体，与主要样品具有相同的工艺参数。然后使用高温机器人无损检测程序对这两个样品进行检查，以便在实际部件和校准样品之间建立直接的比较测量。实践证明，采用在线校准技术的在线焊接缺陷检测可以更可靠地识别样品中的缺陷，否则这些缺陷将通过使用传统校准的验收测试。(C)2020年提交人(S)。由爱思唯尔有限公司出版。这是一篇在CC by License(http://creativecommons.org/licenses/by/4.0/).下的开放获取文章
In multi-pass welding, there is increasing motivation to move towards in-process defect detection to enable realtime repair; thus avoiding deposition of more layers over a defective weld pass. All defect detection techniques require a consistent and repeatable approach to calibration to ensure that measured defect sizing is accurate. Conventional approaches to calibration employ fixed test blocks with known defect sizes, however, this methodology can lead to incorrect sizing when considering complex geometries, materials with challenging microstructure, and the significant thermal gradients present in materials during the inter-pass inspection period. To circumvent these challenges, the authors present a novel approach to calibration and introduce the concept of in-process calibration applied to ultrasonic Non-Destructive Testing (NDT). The new concept is centred around the manufacturing of a second duplication sample, containing intentionally-embedded tungsten inclusions, with identical process parameters as the main sample. Both samples are then inspected using a high-temperature robotic NDT process to allow direct comparative measurements to be established between the real part and the calibration sample. It is demonstrated that in-process weld defect detection using the inprocess calibration technique can more reliably identify defects in samples which would otherwise pass the acceptance test using a traditional calibration. (c) 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).