References
- Raišutis R, Kažys R, Žukauskas E, et al. Application of ultrasonic guided waves for non-destructive testing of defective CFRP rods with multiple delaminations. NDT E Int. 2010;43(5):416–424. doi: 10.1016/j.ndteint.2010.04.001
- Kupski J, de Freitas ST. Design of adhesively bonded lap joints with laminated CFRP adherends: Review, challenges and new opportunities for aerospace structures. Compos Struct. 2021;268:113923. doi:10.1016/j.compstruct.2021.113923
- Krebs F, Larsen L, Braun G, et al. Design of a multifunctional cell for aerospace CFRP production. Int J Adv Manuf Technol. 2016;85(1–4):17–24. doi: 10.1007/s00170-014-6022-1
- Wang Y. Defect detection method of CFRP composite laminates by infrared thermal wave imaging. Aeronauti Manuf. 2016;4(1):36–42.
- Wang Q, Xia R, Liu Q, et al. Pixel-based thermal sequence processing algorithm based on R2 fractile threshold of non-linear fitting in active infrared thermography. Infrared Phys Technol. 2020;109:103422. doi: 10.1016/j.infrared.2020.103422
- Séguin-Charbonneau L, Walter J, Théroux L-D, et al. Automated defect detection for ultrasonic inspection of CFRP aircraft components. NDT E Int. 2021;122:102478. doi: 10.1016/j.ndteint.2021.102478
- Dodd CV, Pate JR, Deeds WE. Eddy-current inversion of flaw data from flat-bottomed holes: Review of progress in quantitative nondestructive evaluation, Vol. 8A. Edited by D.C. Thompson and D.E. Chimenti, pp. 305–312. Plenum Press (1989), ISBN 0 306 43209 9. NDT Int. 1990;23(6):359. doi: 10.1016/0308-9126(90)90886-S
- Barile C, Casavola C, Pappaletter G, et al. Experimental wavelet analysis of acoustic emission signal propagation in CFRP. Eng Fract Mech. 2019;210:400–407. doi:10.1016/j.engfracmech.2018.05.030
- Ishikawa M, Ando M, Koyama M, et al. Active thermographic inspection of carbon fiber reinforced plastic laminates using laser scanning heating. Compos Struct. 2019;209:515–522. doi: 10.1016/j.compstruct.2018.10.113
- Khodayar F, Lopez F, Ibarra-Castanedo C, et al. Optimization of the inspection of large composite materials using robotized line scan thermography. J Nondestr Eval. 2017;36(2): doi: 10.1007/s10921-017-0412-x
- He Y, Yang R, Wu X, et al. Dynamic scanning electromagnetic infrared thermographic analysis based on blind source separation for industrial metallic damage evaluation. IEEE Trans Ind Inf. 2018;14(12):5610–5619. doi:10.1109/TII.2018.2822293
- Deng B, Li X, Wang H, et al. Line scanning thermography reconstruction algorithm for defects inspection with novel velocity estimation and image registration. IEEE Sens J. 2021;21(10):11555–11568. doi: 10.1109/JSEN.2020.3034460
- Derusova DA, Vavilov VP, Shpilnoi V, et al. Characterising hidden defects in GFRP/CFRP composites by using laser vibrometry and active IR thermography. Case Stud NondestrTest Eval. 2022;37(6):776–794. doi: 10.1080/10589759.2022.2063285
- Chen H, Zhang Z, Yin W, et al. Surface defect characterization and depth identification of CFRP material by laser line scanning. NDT E Int. 2022;130:102657. doi: 10.1016/j.ndteint.2022.102657
- Li Y, Zhang W, Yang Z-W, et al. Low-velocity impact damage characterization of Carbon Fiber Reinforced Polymer (CFRP) using infrared thermography. Infrared Phys Technol. 2016;76:91–102. doi: 10.1016/j.infrared.2016.01.019
- He ZY. Joint scanning laser thermography defect detection method for carbon fiber reinforced polymer. IEEE Sens J. 2020;20(1):328–336. doi: 10.1109/JSEN.2019.2941077
- Zhou G, Zhang Z, Yin W, et al. Surface defect detection of CFRP materials based on infrared thermography and attention U-Net algorithm. Nondestruct Test Eval. 2020;35(3):328–341. doi: 10.1080/10589759.2023.2191954
- Hu B, Gao B, Woo WL, et al. A lightweight spatial and temporal multi-feature fusion network for defect detection. IEEE Trans on Image Process. 2021;30:472–486. doi: 10.1109/tip.2020.3036770
- Liu L, Gao B, Wu S, et al. Structured iterative alternating sparse matrix decomposition for thermal imaging diagnostic System. Infrared Phys Technol. 2020;107:103288. doi: 10.1016/j.infrared.2020.103288
- Raitsin AM. A new integral characteristic of the degree of difference of the spatial distribution of a laser beam from a gaussian distribution. Meas Tech. 2011;54(2):162–169. doi:10.1007/s11018-011-9700-5
- Ezekoye OA. Conduction of heat in solids. Phys Today. 1962;15(11):74–76. doi: 10.1063/1.3057871
- Chen H, Zhang Z, Zhao C, et al. Depth classification of defects based on neural architecture search. IEEE Access. 2021;9:73424–73432. doi:10.1109/ACCESS.2021.3077961
- Jin GF, Wei Z, Jun S, et al. Numerical analysis of influencing factors and capability for thermal wave NDT in liquid propellant tank corrosion damage detection. Meas Sci Rev. 2013;13(4):214–222. doi: 10.2478/msr-2013-0033
- Ibarra-Castanedo C, Genest M, Servais P, et al. Qualitative and quantitative assessment of aerospace structures by pulsed thermography. Case Stud NondestrTest Eval. 2007;22(2–3):199–215. doi:10.1080/10589750701448548