Enhanced Thermographic Detection of Delaminations with Computational Pulse Shaping

Winfree, William P.

doi:10.1007/978-1-4615-5339-7_56

Cited by 3 publications

(5 citation statements)

References 7 publications

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“…This derived image has lower noise level than each of the images 1 and 2 which indicates the complimentary feature of these two methods. The image 4 presenting the ÒtrueÓ location of the defects has been constructed using the input manufacturing draft and a thermal diffusivity measurement using a two side approach 11 . A thermal tomography picture presented in Fig.…”

Section: Methodsmentioning

confidence: 99%

<title>Advanced image processing for defect visualization in infrared thermography</title>

Yuri

William

1998

SPIE Proceedings

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Results of a defect visualization process based on pulse infrared thermography are presented. Algorithms have been developed to reduce the amount of operator participation required in the process of interpreting thermographic images. The algorithms determine the defect's depth and size from the temporal and spatial thermal distributions that exist on the surface of the investigated object following thermal excitation. A comparison of the results from thermal contrast, time derivative, and phase analysis methods for defect visualization are presented. These comparisons are based on three dimensional simulations of a test case representing a plate with multiple delaminations. Comparisons are also based on experimental data obtained from a specimen with flat bottom holes and a composite panel with delaminations.

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Section: Methodsmentioning

confidence: 99%

<title>Advanced image processing for defect visualization in infrared thermography</title>

Yuri

William

1998

SPIE Proceedings

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“…Computational pulse shaping is an effective technique for increasing the contrast between flawed and unflawed regions in a specimen (Winfree 1998). The results show that subtraction of the base line measurement enhances the ability of the technique to detect flaws.…”

Section: Resultsmentioning

confidence: 97%

“…The image processor performed an 8 bit digitization of the video signal and real time averaging of the digitized data into 16 bit images. A computer synchronized the acquisition of the digitized data and the application of heat by the flash lamp (Winfree 1998).…”

Section: Type Of Techniquementioning

confidence: 99%

“…The sensitivity of the technique can be enhanced by tailoring the shape of the radiative heating (Winfree 1998). It is not possible to control the shape of the heat pulse by using the flash lamps.…”

Section: Introductionmentioning

confidence: 99%

“….1.1: Comparison of measured response and pulse shaped response for Sample 1. Both images correspond to times with maximum contrast(Winfree 1998).…”

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Detection of subsurface anomalies in composite bridge decks using infrared thermography

Alqennah¹

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This document presents the findings of an experimental study on the use of Infrared Thermography for nondestructive evaluation of subsurface anomalies in composite bridge decks. Composite bridge deck specimens were constructed in the laboratory with varying subsurface delamination conditions such as sizes, thicknesses and filler materials. These simulated delaminations were placed between the 3/8" thick wearing surface and the top of the fiber reinforced polymer (FRP) deck. The laboratory specimens were tested using the infrared imaging system. The infrared images from the delaminated specimens were compared with solid (undamaged) specimens to study the effect of subsurface anomalies (delaminations) on the infrared images under controlled laboratory conditions. In addition, several field tests were conducted using infrared thermography on the composite decks of two bridges (Wickwire Run and Laurel Lick) located in West Virginia. The field tests were used to detect subsurface delaminations and study the effect of environmental parameters on the infrared images. As an additional example, infrared testing was conducted to evaluate FRP wrapping and detect debonding between the FRP wrap and concrete columns on the Pond Creek Bridge in West Virginia. This study shows that the infrared thermography technique can be used effectively for rapid evaluation of subsurface condition of composite bridge decks. The study also shows how the environmental conditions (e.g., shadow, oil spill, and angle of reflection of solar rays) can affect the output infrared images.

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Heat Conduction in Structures Containing Defects and the Optimization of TNDT Procedures

Вавилов

Burleigh²

2020

Infrared Thermography and Thermal Nondestructive Testing

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Enhanced Thermographic Detection of Delaminations with Computational Pulse Shaping

Cited by 3 publications

References 7 publications

<title>Advanced image processing for defect visualization in infrared thermography</title>

<title>Advanced image processing for defect visualization in infrared thermography</title>

Detection of subsurface anomalies in composite bridge decks using infrared thermography

Heat Conduction in Structures Containing Defects and the Optimization of TNDT Procedures

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