Title |
2D analytical model for the directivity prediction of ultrasonic contact type transducers in the generation of guided waves / |
Authors |
Tiwari, Kumar Anubhav ; Raisutis, Renaldas ; Mazeika, Liudas ; Samaitis, Vykintas |
DOI |
10.3390/s18040987 |
Full Text |
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Is Part of |
Sensors.. Basel : MDPI. 2018, vol. 18, iss. 4, art. no. 987, p. 1-17.. ISSN 1424-8220 |
Keywords [eng] |
analytical model ; directivity pattern ; guided wave ; macro-fiber composite (MFC) ; Lamb mode ; shear horizontal ; ultrasonic non-destructive testing |
Abstract [eng] |
In this paper, a novel 2D analytical model based on the Huygens’s principle of wave propagation is proposed in order to predict the directivity patterns of contact type ultrasonic transducers in the generation of guided waves (GWs). The developed model is able to estimate the directivity patterns at any distance, at any excitation frequency and for any configuration and shape of the transducers with prior information of phase dispersive characteristics of the guided wave modes and the behavior of transducer. This, in turn, facilitates to choose the appropriate transducer or arrays of transducers, suitable guided wave modes and excitation frequency for the nondestructive testing (NDT) and structural health monitoring (SHM) applications. The model is demonstrated for P1-type macro-fiber composite (MFC) transducer glued on a 2 mm thick aluminum (Al) alloy plate. The directivity patterns of MFC transducer in the generation of fundamental guided Lamb modes (the S0 and A0) and shear horizontal mode (the SH0) are successfully obtained at 80 kHz, 5-period excitation signal. The results are verified using 3D finite element (FE) modelling and experimental investigation. The results obtained using the proposed model shows the good agreement with those obtained using numerical simulations and experimental analysis. The calculation time using the analytical model was significantly shorter as compared to the time spent in experimental analysis and FE numerical modelling. |
Published |
Basel : MDPI |
Type |
Journal article |
Language |
English |
Publication date |
2018 |
CC license |
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