Application of frequency-domain algorithms in ultrasound imaging of composite materials

Detalles Bibliográficos
Parent link:MATEC Web of Conferences
Vol. 48 : Space Engineering.— 2016.— [03004, 7 p.]
Autor Principal: Dolmatov D. O. Dmitry Olegovich
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Международная научно-образовательная лаборатория неразрушающего контроля (МНОЛ НК)
Outros autores: Abramets V. Vladislava
Summary:Title screen
Non-destructive ultrasonic testing of composite materials requires imaging algorithms which could be applied for anisotropic structures. At present, time-domain techniques are used for this purpose. However, it is evident that this method has lower computational speed compared with frequency-domain algorithms. This paper discusses advanced approach off frequency-domain techniques for multilayer composite materials inspection. The proposed method is based on multi-layer omega-k (MULOK) ultrasound frequency-domain imaging algorithms. It is shown that MULOK algorithms enable highly accurate reconstruction within a higher computational speed.
Idioma:inglés
Publicado: 2016
Series:Modern Technologies and Control Methods in the Aviation and Space Industries
Subjects:
Acceso en liña:http://dx.doi.org/10.1051/matecconf/20164803004
http://earchive.tpu.ru/handle/11683/33691
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648928

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330 |a Non-destructive ultrasonic testing of composite materials requires imaging algorithms which could be applied for anisotropic structures. At present, time-domain techniques are used for this purpose. However, it is evident that this method has lower computational speed compared with frequency-domain algorithms. This paper discusses advanced approach off frequency-domain techniques for multilayer composite materials inspection. The proposed method is based on multi-layer omega-k (MULOK) ultrasound frequency-domain imaging algorithms. It is shown that MULOK algorithms enable highly accurate reconstruction within a higher computational speed. 
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