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So far, only destructive measurement techniques are available for thickness determination of polymer based surface protection systems for concrete surfaces. Pulse thermography appears to be well suited for non-destructive thickness evaluation in these systems. Here, we present first results of the development of a respective measurement and analysis procedure. Since surface protection systems consist of a number of layers, a model for the calculation of the surface temperature of a multi-layer structure on an infinite (concrete) substrate in pulse thermography setup was developed. It considers semitransparency of the upmost layer and thermal losses at the surface. It also supports the use of an arbitrary temporal shape of the heating pulse to properly describe the measurement conditions for different heat sources. First experimental results regarding the verification of the model are presented.
Funding by the Federal Ministry for Economic Affairs and Energy is gratefully acknowledged.
Pulse and flash thermography are experimental techniques which are widely used in the field of non-destructive evaluation for materials characterization and defect detection. We recently showed that it is possible to quantitatively determine the thickness of semitransparent polymeric solids by fitting of results of an analytical model to experimental flash thermography data, for both transmission and reflection geometry. However, depending on the chosen experimental geometry, different effective optical absorption coefficients (i.e., penetration depths of the heating light) had to be utilized in the model in order to properly fit the experimental data. Here we show that this effect is caused by the wavelength dependency of the absorption coefficient of the sample material. We present an extension of the analytical model to incorporate this dispersion. Even accounting for only two different values of the absorption coefficient, the experimental results from both measurement geometries can be fitted by a single set of absorption coefficients. Additionally, the deviations between experimental data and fit are reduced compared to a single optimized effective absorption coefficient.
This work is part of the ZIM-project KF2201089AT4 and is funded by the German Federal Ministry for Economic Affairs and Energy due to an order of the German Bundestag.