Lamb mode diversity imaging fornon-destructivetesting of plate-likestructures
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
24/02/2014
24/02/2014
24/02/2014
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Resumo |
Several Lamb wave modes can be coupled to a particular structure, depending on its geometry and transducer used to generate the guided waves. Each Lamb mode interacts in a particular form with different types of defects, like notches, delamination, surface defects, resulting in different information which can be used to improve damage detection and characterization. An image compounding technique that uses the information obtained from different propagation modes of Lamb waves for non-destructive testing of plate-like structures is proposed. A linear array consisting of 16 piezoelectric elements is attached to a 1 mm thickness aluminum plate, coupling the fundamental A0 and SO modes at the frequencies of 100 kHz and 360 kHz, respectively. For each mode two images are obtained from amplitude and phase information: one image using the Total Focusing Method (TFM) and one phase image obtained from the Sign Coherence Factor (SCF). Each TFM image is multiplied by the SCF image of the respective mode to improve contrast and reduce side and grating lobes effects. The high dispersive characteristic of the A0 mode is compensated for adequate defect detection. The information in the SCF images is used to select one of the TFM mode images, at each pixel, to obtain the compounded image. As a result, dead zone is reduced, resolution and contrast are improved, enhancing damage detection when compared to the use of only one mode. (C) 2013 Elsevier Ltd. All rights reserved. (AU) |
Identificador |
http://www.producao.usp.br/handle/BDPI/44037 10.1016/j.ndteint.2013.06.001 http://www.sciencedirect.com/science/article/pii/S0963869513000911 |
Idioma(s) |
eng |
Publicador |
London |
Relação |
NDT&E International |
Direitos |
restrictedAccess http://creativecommons.org/licenses/by-nc-nd/3.0/br/ Elsevier |
Palavras-Chave | #Lamb wavemodes #Damage detection #Image compounding #Arrays |
Tipo |
article original article publishedVersion |