1. Extended Non-destructive Testing for the Bondline Quality Assessment of Aircraft Composite Structures
- Author
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Tomasz Wandowski, Igor Solodov, Marc Kreutzbruck, Damien Segur, Maxime Sagnard, Laurent Berthe, Pawel Malinowski, Romain Ecault, and Wieslaw Ostachowicz
- Subjects
Materials science ,business.industry ,Electromechanical impedance ,Quality assessment ,Composite number ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Paint adhesion testing ,Shock (mechanics) ,020303 mechanical engineering & transports ,0203 mechanical engineering ,Nondestructive testing ,Adhesive ,Sensitivity (control systems) ,Composite material ,0210 nano-technology ,business - Abstract
We present the results of extended non-destructive testing (ENDT) methods for bond line quality assessment in adhesive joints. The results presented were derived for important application scenarios with regards to aircraft manufacturing and the in-service repair of composite structures. The electromechanical impedance (EMI), laser shock adhesion testing (LASAT), and nonlinear ultrasound scanning (NUS) were used on flat coupon samples, scarfed samples, and curved samples. The EMI method applied to the flat coupons showed some relation of the frequency shift to the level of contamination. For the curved samples, there was insufficient sensitivity to differentiate distinct levels of contamination, while for scarfed samples in most cases both detection and distinction were possible. The LASAT method gave good results for the coupon samples, which were also in accordance with the results of the $${\text{G}}_{\text{IC}}$$ G IC and $${\text{G}}_{\text{IIC}}$$ G IIC tests. For coupon samples with multiple contaminations, we obtained results with varying significance. In the case of NUS, the measurements revealed an increase in nonlinearity affected by contamination at the interphase between the CFRP adherend and the adhesive layer for the majority of scenarios comprising single contamination of flat coupons and scarfed samples. The effect of multiple contaminations was a decrease in nonlinearity for the curved samples.
- Published
- 2021
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