In order to cope with the problem of ice porosity measurement in aircraft icing scenarios, an ultrasonic porosity measurement method based on dynamic wavelet fingerprint technology is proposed and evaluated. The propagation process of ultrasonic longitudinal waves is analyzed by theoretical model and finite element simulation, and the mechanism of the influence of pore size and other factors on porosity measurement is illustrated. Combined with 60 sets of ultrasonic measurement data of 20 ice samples, wavelet fingerprint images are generated, and 11-D key features are extracted. Based on the principal component analysis and polynomial fitting, the realized porosity measurement root mean square error (RMSE) reached 1.144%, which shows the proposed method is more stable and accurate than the traditional peak fitting method.
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This work was funded by the Key Laboratory of Icing and Anti/De-icing of CARDC (No. IADL 20210202).
GUI Kang, ZHANG Yabo, GE Junfeng, LI Renfu, YE Lin. Ice Porosity Measurement Utilizing Dynamic Wavelet Fingerprint Technology[J]. Transactions of Nanjing University of Aeronautics & Astronautics,2023,(S1):118-128