Subsurface material recognition based on infrared time variation characteristics

Dapeng Chen; Jian Zhou; Xiaoli Fan; Yazhou Zhang

doi:10.1117/12.2588388

12 March 2021 Subsurface material recognition based on infrared time variation characteristics

Dapeng Chen, Jian Zhou, Xiaoli Fan, Yazhou Zhang

Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 11763A5 (2021) https://doi.org/10.1117/12.2588388
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China

Abstract

According to the problem of substrate recognition for coating materials, this paper proposes a technical approach to identify the under-coating materials based on the infrared time variation characteristics. Five specimens with the same coating and different kinds of substrates are designed; pulsed stimulation is applied on the surface of the specimens, and the infrared radiation variation is captured by an infrared camera. The thermal images sequences and temperature vs. time curve are processed, and the logarithmic temperature vs. time curve is analyzed; the deviation degree of the logarithmic curves from the -1/2 slope line (the theoretical logarithmic curve of single-layer material) is defined as the characteristic value of the logarithmic curves of different substrate materials. Therefore, different types of the substrate materials can be recognized. For practical application, a characteristic value database is needed, and this method can effectively identify subsurface materials with different thermodynamic parameters by comparing with the database.

Citation Download Citation

Dapeng Chen, Jian Zhou, Xiaoli Fan, and Yazhou Zhang "Subsurface material recognition based on infrared time variation characteristics", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 11763A5 (12 March 2021); https://doi.org/10.1117/12.2588388

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