Method and Equipment for Infrared and Ultrasonic Thermographic Testing of Large-Sized Complex-Shaped Composite Products; Russian Journal of Nondestructive Testing; Vol. 57, iss. 7

Detaylı Bibliyografya
Parent link:Russian Journal of Nondestructive Testing
Vol. 57, iss. 7.— 2021.— [P. 619-626]
Kurumsal yazarlar: Национальный исследовательский Томский политехнический университет Инженерная школа неразрушающего контроля и безопасности Центр промышленной томографии Международная научно-образовательная лаборатория неразрушающего контроля, Национальный исследовательский Томский политехнический университет Инженерная школа неразрушающего контроля и безопасности Центр промышленной томографии Научно-производственная лаборатория "Тепловой контроль"
Diğer Yazarlar: Chulkov A. O. Arseniy Olegovich, Nesteruk D. A. Denis Alekseevich, Shagdyrov B. I. Bator Ilyich, Vavilov V. P. Vladimir Platonovich
Özet:Title screen
The robotic equipment for and the technique of combined thermal nondestructive testing (NDT) of large-sized products by zones with subsequent data synthesis are described. The effectiveness of the combination of two methods, infrared and ultrasonic thermographic testing, is shown by the example of the developed complex-shaped reference sample with 18 simulators of production and operational defects. The developed algorithms for the synthesis of test results, including spatial “matching” of a set of thermograms and automated flaw detection and defect characterization with the use of neural networks have illustrated the effectiveness of the proposed approach for practical application.
Режим доступа: по договору с организацией-держателем ресурса
Dil:İngilizce
Baskı/Yayın Bilgisi: 2021
Konular:
Online Erişim:https://doi.org/10.1134/S1061830921070044
Materyal Türü: Elektronik Kitap Bölümü
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=666296
Diğer Bilgiler
Özet:Title screen
The robotic equipment for and the technique of combined thermal nondestructive testing (NDT) of large-sized products by zones with subsequent data synthesis are described. The effectiveness of the combination of two methods, infrared and ultrasonic thermographic testing, is shown by the example of the developed complex-shaped reference sample with 18 simulators of production and operational defects. The developed algorithms for the synthesis of test results, including spatial “matching” of a set of thermograms and automated flaw detection and defect characterization with the use of neural networks have illustrated the effectiveness of the proposed approach for practical application.
Режим доступа: по договору с организацией-держателем ресурса
DOI:10.1134/S1061830921070044