Detecting and Evaluating Water Ingress in Horizontally Oriented Aviation Honeycomb Panels by Using Automated Thermal Nondestructive Testing
| Parent link: | Russian Journal of Nondestructive Testing=Дефектоскопия.— .— New York: Springer Science+Business Media LLC. Vol. 59, iss. 12.— 2023.— P. 1272-1279 |
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| مؤلفون آخرون: | , , , , |
| الملخص: | Title screen Results of applying active thermal nondestructive testing for the detection of water ingress in horizontally oriented aviation honeycomb panels and quantitative evaluation of water content are presented. Unlike ultrasonic inspection, thermal testing allows one to detect water and evaluate its quantity in the presence of air gaps between water and inspected honeycomb skin. The proposed algorithm based on using an artificial neural network has enabled estimating water content with errors under 15% in the cases where water contacts a honeycomb skin, as well as in the presence of air gaps between the skin and water Текстовый файл AM_Agreement |
| اللغة: | الإنجليزية |
| منشور في: |
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1134/S1061830923600946 Статья на русском языке |
| التنسيق: | الكتروني فصل الكتاب |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=679744 |
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| 200 | 1 | |a Detecting and Evaluating Water Ingress in Horizontally Oriented Aviation Honeycomb Panels by Using Automated Thermal Nondestructive Testing |d Обнаружение и оценка количества воды в горизонтально ориентированных авиационных сотовых панелях с помощью автоматизированного теплового контроля |f A. O. Chulkov, B. I. Shagdyrov, V. P. Vavilov [et al.] |z rus | |
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| 330 | |a Results of applying active thermal nondestructive testing for the detection of water ingress in horizontally oriented aviation honeycomb panels and quantitative evaluation of water content are presented. Unlike ultrasonic inspection, thermal testing allows one to detect water and evaluate its quantity in the presence of air gaps between water and inspected honeycomb skin. The proposed algorithm based on using an artificial neural network has enabled estimating water content with errors under 15% in the cases where water contacts a honeycomb skin, as well as in the presence of air gaps between the skin and water | ||
| 336 | |a Текстовый файл | ||
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| 461 | 1 | |t Russian Journal of Nondestructive Testing |l Дефектоскопия |c New York |n Springer Science+Business Media LLC. | |
| 463 | 1 | |t Vol. 59, iss. 12 |v P. 1272-1279 |d 2023 | |
| 610 | 1 | |a thermal nondestructive testing | |
| 610 | 1 | |a honeycomb panel | |
| 610 | 1 | |a water ingress | |
| 610 | 1 | |a artificial neural network | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 701 | 1 | |a Chulkov |b A. O. |c specialist in the field of non-destructive testing |c Deputy Director for Scientific and Educational Activities; acting manager; Senior Researcher, Tomsk Polytechnic University, Candidate of Technical Sciences |f 1989- |g Arseniy Olegovich |9 16220 | |
| 701 | 1 | |a Shagdyrov |b B. I. |c specialist in the field of non-destructive testing |c engineer of Tomsk Polytechnic University |f 1995- |g Bator Ilyich |9 23046 | |
| 701 | 1 | |a Vavilov |b V. P. |c Specialist in the field of dosimetry and methodology of nondestructive testing (NDT) |c Doctor of technical sciences (DSc), Professor of Tomsk Polytechnic University (TPU) |f 1949- |g Vladimir Platonovich |9 16163 | |
| 701 | 1 | |a Kladov |b D. |c specialist in the field of non-destructive testing |c engineer of Tomsk Polytechnic University |f 1996- |g Dmitry |9 23048 | |
| 701 | 1 | |a Stasevsky |b V. I. |c specialist in the field of precision engineering |c laboratory assistant of Tomsk Polytechnic University |f 1994- |g Viktor Igorevich |9 18083 | |
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