Crack detection in aluminum parts by using ultrasound-excited infrared thermography / Xingwang Guo, V. P. Vavilov

Уровень набора: Infrared Physics & TechnologyОсновной Автор-лицо: Xingwang GuoАльтернативный автор-лицо: Vavilov, V. P., Specialist in the field of dosimetry and methodology of nondestructive testing (NDT), Doctor of technical sciences (DSc), Professor of Tomsk Polytechnic University (TPU), 1949-, Vladimir PlatonovichЯзык: английский.Страна: .Резюме или реферат: 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..Примечания о наличии в документе библиографии/указателя: [Ref: p. 156 (38 tit.)].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | infrared thermography | инфракрасная термография | трещины | image processing | обработка | изображения | вейвлет-анализ | wavelet analysis Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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[Ref: p. 156 (38 tit.)]

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.

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