Research and Analysis on Ultrasonic Imaging Characteristics of CFRP Laminates Based on Linear and Annular Array Transducers

doi:10.3901/JME.2023.10.030

Abstract

Abstract: In the ultrasonic non-destructive testing of carbon fiber reinforced polymer laminate structure, aiming at the problems of poor signal-to-noise ratio and low detection efficiency, the ultrasonic testing method and process parameters using linear array transducer and annular array transducer are designed, and the detection effect of composite laminates is analyzed. First, delamination defects with different buried depths are preset in the composite material gradient plate specimen, and the ultrasonic propagation characteristics in the composite plate structure are studied with the finite difference simulation model. Then, according to the acoustic anisotropy characteristics of the specimen, the ultrasonic array testing algorithm based on linear array and annular array is modified, also the detection process parameters is formulated. Finally, the specimen is detected and imaged with C-Scan ultrasonic testing method, also the testing results of linear array and annular array are evaluated qualitatively and quantitatively, and analyzed combined with the characteristics of sound field. The results show that the ultrasonic echo has high signal-to-noise ratio with linear array transducer, as well as, the detection process is more efficient. It also indicates that the annular array method has higher detection accuracy and less imaging distortion for specimens with larger thickness. The research results can provide theoretical basis for acoustic characterization of composite material testing, and provide effective reference and guidance for the design of array ultrasonic testing process.

Key words: non-destructive testing, composites, ultrasonic array, annular array

CLC Number:

TB553

WANG Jun, ZHOU Zhenggan, WANG Jin, LIU Yusheng. Research and Analysis on Ultrasonic Imaging Characteristics of CFRP Laminates Based on Linear and Annular Array Transducers[J]. Journal of Mechanical Engineering, 2023, 59(10): 30-39.

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