The Frequency-Domain Algorithm for Ultrasonic Imaging of Complex-Shaped Objects / D. O. Dolmatov, D. A. Sednev, R. Pinchuk
Уровень набора: (RuTPU)RU\TPU\network\11477, Key Engineering Materials, Scientific JournalЯзык: английский.Резюме или реферат: The algorithms based on Synthetic Aperture Focusing Technique are aimed at the determination of the imageries of the flaws in controlled objects. Ultrasonic imaging of complex-shaped objects requires specific algorithms which are able to take into account the complicated character of ultrasonic waves propagation. In this article, we suggested the novel frequency-domain algorithm for ultrasonic imaging of complex-shaped objects. This algorithm is based on Phase -shift migration theory and Stolt transform. The evaluation of suggested technique was done by the application of raw ultrasonic data which was obtained by using computer simulations. Derived results show that proposed algorithm is able to make accurate and precise imaging of flaws in complex-shaped objects..Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | Complex-Shaped Objects | Frequency-Domain Algorithms | Synthetic Aperture Focusing Technique | Ultrasonic Imaging | Ultrasonic Nondestructive Testing | алгоритмы | фокусировка | апертура | визуализация | сложные объекты Ресурсы он-лайн:Щелкните здесь для доступа в онлайнTitle screen
The algorithms based on Synthetic Aperture Focusing Technique are aimed at the determination of the imageries of the flaws in controlled objects. Ultrasonic imaging of complex-shaped objects requires specific algorithms which are able to take into account the complicated character of ultrasonic waves propagation. In this article, we suggested the novel frequency-domain algorithm for ultrasonic imaging of complex-shaped objects. This algorithm is based on Phase -shift migration theory and Stolt transform. The evaluation of suggested technique was done by the application of raw ultrasonic data which was obtained by using computer simulations. Derived results show that proposed algorithm is able to make accurate and precise imaging of flaws in complex-shaped objects.
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