Reconstruction of size and depth of simulated defects in austenitic steel plate using pulsed infrared thermography

Wysocka-Fotek, O.; Oliferuk, W.; Maj, Michał

doi:10.1016/j.infrared.2012.02.004

Cited by 36 publications

(30 citation statements)

References 12 publications

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“…3D conductivity, takes place if defect sizing is not made from the correct thermal or phase image. Wysocka-Fotek et al [126] plot the time derivative data of the temperature data and apply the FWHM approach to this data to predict defect 53 size for a series of flat bottom holes in austenitic steel, which were then used to provide calibration for defect depth predictions in the same material.…”

Section: Defect Size Predictionmentioning

confidence: 99%

Development of Infrared Techniques for Practical Defect Identification in Bonded Joints

Waugh

2016

Springer Theses

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Section: Defect Size Predictionmentioning

confidence: 99%

Development of Infrared Techniques for Practical Defect Identification in Bonded Joints

Waugh

2016

Springer Theses

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“…Therefore, studies have been conducted to measure the depth of the defects by investigating the correlation between the temperature distribution and defect depth. [1,2] However, applicability of this method for sheet metals with thicknesses of 1 mm or less has not been verified. Therefore, in this study, the defect depth was estimated by using an equation that describes the relationship between the parameters derived from thermography and the defects.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the difference in temperature is probably related to the defect size. The difference in temperature can be quantified by the standard thermal contrast C(t) and can be calculated by equation (1). [3] …”

Section: Introductionmentioning

confidence: 99%

Measurement of Defect Depth in Sheet Metal by Pulse Thermography

Choi¹,

Kim²,

Park³

et al. 2017

Proceedings of the 2017 Asia International Conference on Quantitative InfraRed Thermography

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Recently, the demand for sheet metals has been increasing to reduce the size and weight of mechanical parts and structures. Various nondestructive inspection techniques have been studied to evaluate the soundness of sheet metal. The infrared thermography technique has advantages such as portability and large inspection area, but it is difficult to accurately measure the depth of defects in sheet metals. Therefore, to measure the depth of defects, this study has shown the correlation between the standard thermal contrast, defect diameter, defect depth, and thermal conductivity of various materials. In order to investigate the correlation between the standard thermal contrast and the diameter and depth of defects, defects were machined into 1-mm-thick sheet metal. The defect diameters were 2, 3, and 4 mm, and the depths were 0.3, 0.4, and 0.5 mm. The specimens were made of STS304, A1050, and C1020 to investigate the correlation between the standard thermal contrast and thermal conductivity of the materials. The maximum standard thermal contrast of the defects in the STS304 specimen was higher as the defect diameter was larger and the defect depth was shallower. In addition, the lower the thermal conductivity of the material, the higher the maximum standard thermal contrast. This relationship can be represented by an equation, and the depth of the defects estimated by the equation was compared with the actual depth of the defects.

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“…The necessary conditions for IRNDT testing method are homogeneous thermal excitation of whole inspected surface, limited inspection depth combined with defects size and elimination of reflections from surrounding and/or thermal excitation source directly to the detector of IR camera. According to the application, a suitable combination of excitation method, analysis method and evaluation method including their parameters has to be found [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Application of IRNDT method for materials in wide range of thermal diffusivity

Veselý¹,

Švantner²

2016

Proceedings of the 2016 International Conference on Quantitative InfraRed Thermography

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Infrared non-destructive testing method (IRNDT) is suitable supplement to classic non-destructive testing methods (NDT). The advantage of IRNDT method is fast and non-contact measurement and evaluation that is available to various industrial and research applications. The method is suitable for both production process inspection (material inhomogeneities, inner structure of multilayer parts, cracks, ...) and subsequent component inspection during service (cracks, layers delamination, etc.) The possibility of defects detection is influenced by IRNDT method parameters, geometric orientation of defects and by physical properties of material. The influence of material thermal properties on the detectability of defects is discussed.

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Reconstruction of size and depth of simulated defects in austenitic steel plate using pulsed infrared thermography

Cited by 36 publications

References 12 publications

Development of Infrared Techniques for Practical Defect Identification in Bonded Joints

Development of Infrared Techniques for Practical Defect Identification in Bonded Joints

Measurement of Defect Depth in Sheet Metal by Pulse Thermography

Application of IRNDT method for materials in wide range of thermal diffusivity

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