Review And Future of Non-Destructive Testing Methods for Composites in Aircraft
DOI:
https://doi.org/10.54097/hset.v71i.12708Keywords:
Non-destructive testing, defects, composites, ultrasonic, thermography.Abstract
The application of carbon fiber in aerospace requires more advanced non-destructive testing methods due to its unique properties such as anisotropy. In this paper, mainstream non-destructive testing methods are introduced, including visual inspection, resonance test, acoustic emission, eddy current test, ultrasonic test, laser shearography, infra-red thermography, and X-ray. Their strengths and weaknesses are compared, and the common challenges are exposed. To solve those problems, some developing techniques such as hybrid methods and deep-learning-based automated inspection are proposed.
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Tao, N., Anisimov, A., Groves, R. FEM-assisted shearography with spatially modulated heating for non-destructive testing of thick composites with deep defects. Composite Structures, 2022, 297:115980.
Ehrhart, B., Valeske, B. Non-destructive evaluation (NDE) of aerospace composites: methods for testing adhesively bonded composites. Woodhead Publishing Series in Composites Science and Engineering, 2013, 220-237.
Jodhani, J., Handa, A., Gautam, A., Ashwni, Rana, R. Ultrasonic non-destructive evaluation of composites: A review. Materials Today: Proceedings, 2022, 78:727-632.
Towsyfyan, H., Biguri, A., Boardman R., Blumensath, T. Success and challenges in non-destructive testing of aircraft composite structures. Chinese Journal of Aeronautics, 2020, 33(3):771-791.
Yasuda, Y., Cappabianco, F., Martins, L., Gripp, J. Aircraft visual inspection: A systematic literature review. Computers in Industry, 2022, 141:103659.
Krebs, W.K., Good, G.W., Nakagawara, V.B. Vision standards testing requirements for nondestructive inspection (NDI) and testing (NDT) personnel and visual inspectors. Federal Aviation Administration, 2005.
Douglass, A.C.S., Sparkman, D., Harley, J. B. Segmentation of hidden delaminations with pitch-catch ultrasonic testing and agglomerative clustering, J. Nondestruct. Eval, 2020, 39:8
Imielinska, K., Castaings, M., Wojtyra, R., Haras, J., Le Clezio, E., Hosten B. Air coupled ultrasonic C-scan technique in impact response testing of carbon fibre and hybrid: glass, carbon and Kevlar/epoxy composites, J. Mater. Process. Technol, 2004, 157-158: 513-522.
Aymerich, F., Meili, S. Ultrasonic evaluation of matrix damage in impacted composite laminates. Compos, 2000, 31:1-6.
Anderson, B.E., Remilieux M.C., Le Bas, P.Y., Ulrich, T.J. Time reversal techniques. Springer, 2019, 547-581.
Freemantle, R., Hankinson, N., Brotherhood C.J. Rapid phased array ultrasonic imaging of large area composite aerospace structures. Insight-Non-Destructive Test, 2005, 47:129-135.
Ramzi, R., Mahomod, M.F., Baker, E.A. Immersion ultrasonic inspection system for small scaled composite specimens. J Engineering Application Science, 2015, 10(22): 17146-17150.
Vaara, P., Leinonen, J. Technology survey on NDT of carbon-fiber composites. Kemi-Tornio University of Applied Sciences. 2012.
Towsyfyan, H. Investigation of the nonlinear tribological behaviour of mechanical seals for online condition monitoring [dissertation]. University of Huddersfield, 2017.
Erf, R. Speckle metrology. Elsevier, 2012.
Hung, Y.Y., Chen, Y.S., Ng, S.P., Liu, L., Huang, Y.H., Luk, B.L., lp, R.W., Wu, C.M.L., Chung, P.S. Review and comparison of shearography and active thermography for nondestructive evaluation. Material Science and Engineering: R: Reports, 2009, 64(5-6): 73-112.
Newman, J.W. Aerospace NDT with advanced laser shearography. 17th world conference on nondestructive testing. 2008, 20008:209.
Katunin, A., Dragan, K., Dziendzikowski, M. Damage identification in aircraft composite structures: A case study using various non-destructive testing techniques. Composite Structures, 2015, 127:1-9.
Dattoma, V., Willem Panella, F., Pirinu, A., Saponaro, A Ultrasonic and thermographic studies for CFRP inspections with real and simulated defects, Mater. Today Proc, 2021, 34:224-234.
Garnier, C., Pastor, M.L., Eyma, F., Lorrain, B. The detection of aeronautical defects in situ on composite structures using Non Destructive Testing. Composite Structures, 2011, 93:1328-1336.
Perton, M., Blouin, A., Monchalin, J.P Adhesive bond testing of carbon-epoxy composites by laser shockwave. Industrial Materials Institute, National Research Council of Canada, 2010, 44(3):034012.
Ecault, R., Boustie, M., Touchard, F., Bockeheimer, C Damage of composite materials by use of laser driven shock waves. American Society for Composites 26th Annual Technical Conference/2nd Joint US-Canada Conference on Composites, 2011.
Barus, M., Welemane, H., Nassiet, V., Pastor, M.L., Cantarel, A., Collombet, F., Grouzeix, L., Grunevald, Y.H. NDT-based design of joint material for the detection of bonding defects by infrared thermography. NDT and E International, 2018, 93:157-163.
Li, Y., Yao, K., Li, X. An ultrasonic signal reconstruction algorithm of multilayer composites in non-destructive testing. Applied Acoustics, 2021, 186:108461.
Bustamante, L., Jeyaprakash, N., Yang, C. Hybrid laser and air-coupled ultrasonic defect detection of aluminium and CFRP plates by means of Lamb mode. Results Phys, 2020, 19:103438.
Tao, N., Anisimov, A.G., Groves, R.M. Towards safe shearography inspection of thick composites with controlled surface temperature heating. NDT and E International, 2023, 139:102907.
Zhang, L., Tham, Z.W., Chen, Y.F., Tan, C.Y., Cui, F., Mutiargo, B. Defect imaging in carbon fiber composites by acoustic shearography. Composites Science and Technology, 2022, 223:109417.
He, Y., Tian, G.Y., Pan. M., Chen, D. Impact evaluation in carbon fiber reinforced polymer (CFRP) laminates using eddy current pulsed thermography. Compos Struct, 2014, 109(1) 1-7
Jordan, S., Moore, J., Hovet, S., Box, J., Perry, J., Kische, K., Lewis, D., Tse, Z.T.H. State-of-the-art technologies for uav inspection. IET Radar Sonar Navig, 2018, 12:151-164.
Cazzato, D., Olivares-Mendez, M.A., Sanchez-Lopez, J.L., Voos, H. Vision-based aircraft pose estimation for uavs autonomous inspection without fiducial markers. IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society, 2019, 5642-5648.
Bircher, A., Alexis, K., Burrl, M., Oettershagen, P., Omari, S., Mantel, T., Siegward, R. Structural inspection path planning via iterative viewpoint resampling with application to aerial robotics. 2015 IEEE International Conference on Robotics and Automation (ICRA), 2015, 6423-6430.
Cantero-Chinchilla, S., Wilcox, P.D., Croxford, A.J. Deep learning in automated ultrasonic NDE - Developments, axioms and opportunities. NDT and E International, 2022, 131:102703.
Almeida, R., Magalhaes, M., Karim, M., Tushtev, K., Rezwan, K. Identifying damage mechanisms of composites by acoustic emission and supervised machine learning. Material & Design, 2023, 227:111745.
Munir, N., Park, J., Kim, H.J., Song S.J., Kang, S.S. Performance enhancement of convolutional neural network for ultrasonic flaw classification by adopting autoencoder. NDT E, 2020, 111:1022218.
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