Nondestructive Testing and Evaluation of Composite Aerospace Structures

There is a broad range of approaches and technologies used for nondestructive testing and evaluation (NDT&E) of composite aerospace structures. The aim of this article is to provide an overview of the most common measurement methods used in the aircraft manufacturing sector for nondestructive detection of internal defects in carbon fibre composite structures, as well as signal and image processing techniques available for computer-assisted evaluation. The problems and challenges faced by NDT&E are first explained in terms of typical composite aerospace components, typical defects, and general inspection requirements. Four most common production NDT techniques are then presented in detail, covering principal aspects of ultrasound, radiography, shearography, and thermography in terms of their operating principles, performance, and applications to composite aerospace components. This is followed by signal processing methods for NDT signal enhancement, detection, and restoration as well as image processing methods for mosaicking of multiple NDT images, registration with component CAD model, fusion of multimodality NDT images, defect visualisation, and automatic defect detection. Finally, future NDT&E trends are highlighted based on current technology progress. Keywords: aerospace nondestructive testing and evaluation; ultrasound; radiography; shearography; thermography; signal and image processing in nondestructive testing

[1]  A. Vary The Acousto-Ultrasonic Approach , 1988 .

[2]  S C J Parker,et al.  A novel shearography system for aerospace non-destructive testing , 1999 .

[3]  Paul D. Wilcox,et al.  Ultrasonic arrays for non-destructive evaluation: A review , 2006 .

[4]  F. Harris On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.

[5]  Christian Boller,et al.  Trend analysis of acousto-ultrasonic signals for integrity evaluation of metallic aerostructures , 2010 .

[6]  J. Boone,et al.  An accurate method for computer-generating tungsten anode x-ray spectra from 30 to 140 kV. , 1997, Medical physics.

[7]  C. Yu,et al.  Denoising by optimal fuzzy thresholding in wavelet domain , 2000 .

[8]  Lianxiang Yang,et al.  Digital Shearography for Nondestructive Testing: Potentials, Limitations, and Applications , 2004 .

[9]  Y. Y. Hung Shearography: A New Optical Method For Strain Measurement And Nondestructive Testing , 1982 .

[10]  Lik-Kwan Shark,et al.  Design of optimal shift-invariant orthonormal wavelet filter banks via genetic algorithm , 2003, Signal Process..

[11]  L. Cohen,et al.  Time-frequency distributions-a review , 1989, Proc. IEEE.

[12]  Bogdan J. Matuszewski,et al.  Development and evaluation of fast branch-and-bound algorithm for feature matching based on line segments , 2007, Pattern Recognit..

[13]  Bogdan J. Matuszewski,et al.  CAD model-based inspection and visualisation for 3D non-destructive testing of complex aerostructures , 2004 .

[14]  B. R. Jones,et al.  Towards an ultrasonic-attenuation technique to measure void content in carbon-fibre composites , 1976 .

[15]  Lik-Kwan Shark,et al.  Design of matched wavelets based on generalized Mexican-hat function , 2006, Signal Process..