Two-Dimensional Arrays for the Quantitative Characterisation of Complex Defects

用于复杂缺陷定量表征的二维阵列

基本信息

  • 批准号:
    EP/F005032/1
  • 负责人:
  • 金额:
    $ 33.51万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2008
  • 资助国家:
    英国
  • 起止时间:
    2008 至 无数据
  • 项目状态:
    已结题

项目摘要

Recent years have seen a rapid increase in the interest in arrays for NDE. Their advantages include increased flexibility, as one array probe can undertake many inspections, increased speed of imaging and increased coverage from a given location. However, current NDE systems utilise mainly 1-Dimensional (1D) arrays and so are limited to obtaining a 2-Dimensional (2D) image. 2D arrays offer the potential to image in all three dimensions. This has clear benefits as real defects and engineering structures are three-dimensional / for example defects such as cracking and inclusions in welds are of arbitrary shape and can occur in arbitrary orientations. 2D arrays are able to 'view' a given defect form a range of angles leading to the possibility of obtaining characterisation detail far beyond what is currently achievable. However there are a number of obstacles currently stifling the application of 2D arrays to NDE. Firstly, how should 2D arrays be designed with a low enough number of elements to be practically viable? Secondly, how should the vast amount of data potentially obtainable be minimised and processed? Thirdly, given these practical limitations, what imaging and characterisation performance can be achieved? This project will address these issues by developing a modelling suite to optimise array design, investigating a range of data management and signal processing techniques to make the most efficient use of the data, incorporating recently developed piezoelectric and passive materials into the array design and optimising 2D array manufacture for NDE. This proposal is being submitted within the UK Research Centre in NDE to the targeted research programme, the funding for which is earmarked by EPSRC for industrially driven research.
近年来,人们对无损检测阵列的兴趣迅速增加。它们的优点包括灵活性增加,因为一个阵列探头可以进行多次检查,提高了成像速度,并增加了给定位置的覆盖范围。然而,目前的无损检测系统主要利用一维(1D)阵列,因此仅限于获得二维(2D)图像。二维阵列提供了三维成像的潜力。这有明显的好处,因为真正的缺陷和工程结构是三维的/例如,焊接中的裂纹和夹杂物等缺陷是任意形状的,可以在任意方向发生。二维阵列能够从一系列角度“观察”给定的缺陷,从而有可能获得远远超出目前可实现的特征细节。然而,目前有许多障碍阻碍了二维阵列在无损检测中的应用。首先,二维阵列应该如何设计,使元素数量足够少,以实际可行?其次,如何将可能获得的大量数据最小化并加以处理?第三,考虑到这些实际限制,可以实现什么样的成像和表征性能?该项目将通过开发一个建模套件来优化阵列设计,研究一系列数据管理和信号处理技术,以最有效地利用数据,将最新开发的压电和无源材料纳入阵列设计,并优化无损检测的二维阵列制造来解决这些问题。该提案正在英国NDE研究中心提交给目标研究计划,该计划的资金由EPSRC指定用于工业驱动研究。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A probabilistic approach for the optimisation of ultrasonic array inspection techniques
  • DOI:
    10.1016/j.ndteint.2014.07.007
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    4.2
  • 作者:
    Yousif Humeida;P. Wilcox;M. Todd;B. Drinkwater
  • 通讯作者:
    Yousif Humeida;P. Wilcox;M. Todd;B. Drinkwater
A generalized approach for efficient finite element modeling of elastodynamic scattering in two and three dimensions.
Accurate depth measurement of small surface-breaking cracks using an ultrasonic array post-processing technique
  • DOI:
    10.1016/j.ndteint.2014.08.004
  • 发表时间:
    2014-12-01
  • 期刊:
  • 影响因子:
    4.2
  • 作者:
    Felice, Maria V.;Velichko, Alexander;Wilcox, Paul D.
  • 通讯作者:
    Wilcox, Paul D.
Nonlinear ultrasonic phased array imaging.
  • DOI:
    10.1103/physrevlett.113.144301
  • 发表时间:
    2014-10
  • 期刊:
  • 影响因子:
    8.6
  • 作者:
    J. Potter;A. Croxford;P. Wilcox
  • 通讯作者:
    J. Potter;A. Croxford;P. Wilcox
DEFECT CHARACTERIZATION USING TWO-DIMENSIONAL ARRAYS
使用二维阵列进行缺陷表征
  • DOI:
    10.1063/1.3591934
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Velichko A
  • 通讯作者:
    Velichko A
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Paul Wilcox其他文献

Three dimensional total focusing imaging of volumetric defects using laser diffuse ultrasonic phased arrays
使用激光漫射超声相控阵对体积型缺陷进行三维全聚焦成像
Modelling and evaluation of carbon fibre composite structures using high-frequency eddy current imaging
使用高频涡流成像对碳纤维复合材料结构进行建模和评估
  • DOI:
    10.1016/j.compositesb.2022.110343
  • 发表时间:
    2023-01-01
  • 期刊:
  • 影响因子:
    14.200
  • 作者:
    Qiuji Yi;Paul Wilcox;Robert Hughes
  • 通讯作者:
    Robert Hughes

Paul Wilcox的其他文献

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{{ truncateString('Paul Wilcox', 18)}}的其他基金

Improving Inspection Reliability through Data Fusion of Multi-View Array Data
通过多视图阵列数据的数据融合提高检测可靠性
  • 批准号:
    EP/N015924/1
  • 财政年份:
    2016
  • 资助金额:
    $ 33.51万
  • 项目类别:
    Research Grant
Enhanced Ultrasonic 3D Characterisation Of Composites Using Full Matrix Capture Of Array Data
使用阵列数据的全矩阵捕获增强复合材料的超声波 3D 表征
  • 批准号:
    EP/H010920/1
  • 财政年份:
    2010
  • 资助金额:
    $ 33.51万
  • 项目类别:
    Research Grant
Sub-wavelength characterisation of defects in inaccessible regions using guided waves
使用导波对难以到达的区域中的缺陷进行亚波长表征
  • 批准号:
    EP/G052069/1
  • 财政年份:
    2009
  • 资助金额:
    $ 33.51万
  • 项目类别:
    Research Grant
Quantitative Structural Health Monitoring for Damage Detection
用于损伤检测的定量结构健康监测
  • 批准号:
    EP/E054951/1
  • 财政年份:
    2007
  • 资助金额:
    $ 33.51万
  • 项目类别:
    Fellowship
Efficient Structural Health Monitoring Using Sparse Distributed Sensor Arrays
使用稀疏分布式传感器阵列进行高效结构健康监测
  • 批准号:
    EP/C541960/1
  • 财政年份:
    2006
  • 资助金额:
    $ 33.51万
  • 项目类别:
    Research Grant

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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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