Crack detection in aluminum parts by using ultrasound-excited infrared thermography
| Parent link: | Infrared Physics & Technology Vol. 61.— 2013.— [P. 149-156] |
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| Autore principale: | |
| Altri autori: | |
| Riassunto: | Title screen Ultrasound-stimulated IR thermography, thanks to its large-area imaging capability, high test productivity and safety, is a powerful tool for the inspection of cracks in heavy aluminum structures. In thick aluminum parts, the most important defect detection parameters are the differential temperature signal and signal-to-noise ratio (SNR), which typically reach their maximums at shortly (under 1 s) after the beginning of the ultrasonic excitation. In the IR inspection of non-metals, the ultrasonic excitation may be relatively long, while in the case of highly-conductive aluminum, short-pulse (burst) stimulation (from 0.4 to 1 s) is sufficient The crack detectability can be improved by evaluating temperature images at the times when maximum SNR values occur. Further enhancement of test results can be achieved by applying some data processing algorithms which can be 1D, i.e. applied to temperature evolutions in time, or 2D, i.e. applied to spatial coordinates, or a single image. Режим доступа: по договору с организацией-держателем ресурса |
| Lingua: | inglese |
| Pubblicazione: |
2013
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| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S1350449513001576# |
| Natura: | Elettronico Capitolo di libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=637068 |
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| 200 | 1 | |a Crack detection in aluminum parts by using ultrasound-excited infrared thermography |f Xingwang Guo, V. P. Vavilov | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [Ref: p. 156 (38 tit.)] | ||
| 330 | |a Ultrasound-stimulated IR thermography, thanks to its large-area imaging capability, high test productivity and safety, is a powerful tool for the inspection of cracks in heavy aluminum structures. In thick aluminum parts, the most important defect detection parameters are the differential temperature signal and signal-to-noise ratio (SNR), which typically reach their maximums at shortly (under 1 s) after the beginning of the ultrasonic excitation. In the IR inspection of non-metals, the ultrasonic excitation may be relatively long, while in the case of highly-conductive aluminum, short-pulse (burst) stimulation (from 0.4 to 1 s) is sufficient The crack detectability can be improved by evaluating temperature images at the times when maximum SNR values occur. Further enhancement of test results can be achieved by applying some data processing algorithms which can be 1D, i.e. applied to temperature evolutions in time, or 2D, i.e. applied to spatial coordinates, or a single image. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Infrared Physics & Technology | ||
| 463 | |t Vol. 61 |v [P. 149-156] |d 2013 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a infrared thermography | |
| 610 | 1 | |a инфракрасная термография | |
| 610 | 1 | |a трещины | |
| 610 | 1 | |a image processing | |
| 610 | 1 | |a обработка | |
| 610 | 1 | |a изображения | |
| 610 | 1 | |a вейвлет-анализ | |
| 610 | 1 | |a wavelet analysis | |
| 700 | 0 | |a Xingwang Guo | |
| 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 |3 (RuTPU)RU\TPU\pers\32161 |9 16163 | |
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| 856 | 4 | |u http://www.sciencedirect.com/science/article/pii/S1350449513001576# | |
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