Paper
17 March 2008 Dimensionless heat transfer model to compress and analyze pulsed thermography data for NDT of materials
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Abstract
We develop a dimensionless heat transfer model to analyze pulsed thermography data for non-destructive testing (NDT) of materials. Simulated thermographic sequences are used in order to evaluate the performance of the inspection technique. Also, we inspect organic and inorganic samples, including a layered plate and two dental pieces, in search of internal defects and structural inhomogeneities. We detect cavities and the inner structure of the samples by means of reconstructed thermograms and a modified version of the differential absolute contrast (DAC). Moreover, we develop an effective data compression method that reduces a thermographic video with m frames of p × q pixels to two matrices of p × q elements. In this data reconstruction process, precision and compression ratio are independent parameters. Finally, we find that partial translucency of dental enamel, in infrared, permits imaging of the internal structure of a tooth. This inspection technique does not require a priori knowledge about a reference defect-free area.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juan C. Ramirez-Granados, G. Paez, and M. Strojnik "Dimensionless heat transfer model to compress and analyze pulsed thermography data for NDT of materials", Proc. SPIE 6939, Thermosense XXX, 69391I (17 March 2008); https://doi.org/10.1117/12.777777
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Cited by 3 scholarly publications.
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KEYWORDS
Thermography

Video

Data modeling

Infrared cameras

Inspection

Thermal modeling

Teeth

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