Fast defect shape reconstruction based on the travel time in pulse thermography

Abstract

Pulse thermography is a non-destructive testing method based on infrared imaging of transient thermal patterns. Heating the surface of the structure under test for a short period of time generates a non-stationary temperature distribution and thus a thermal contrast between the defect and the sound material. In modern NDT, a quantitative characterization of hidden imperfections in materials is desired. In particular, defect depth and shape are of interest. The reconstruction of the defect from thermography data is a nonlinear inverse problem, and ill-posed. We propose an algorithm for the identi fi cation of subsurface defects based on the travel time of the re fl ected thermal pulse. Our work extends results by Lugin and Netzelmann, taking lateral thermal fl ows directly into account while retrieving the defect depth. This requires signi fi cantly less computational work. Quantitative information about the defect shape and depth is obtained. Application of our method to both thermography data generated by a fi nite element simulation and experimental heating of PVC test specimens with different defects yields good reconstruction of the actual defects. © RILEM 2013.