Inverse heat transfer approach for IR image reconstruction: Application to thermal non-destructive evaluation

An inverse heat transfer method is developed to characterize subsurface defects in ceramic materials through the reconstruction of the IR image obtained by numerical simulation. This study focuses on the application of the Conjugate Gradient Method (CGM) of minimization for the determination of the thermal conductivity and the depths of defects present in ceramic materials. To this aim, an inspection method which consists of imposing a transient regime process in the sample test is proposed, starting from an elevated and uniform temperature and applying a cooling process over the time. Surface thermal images are collected during the cooling process using an infrared camera. A mathematical model based on the transient behavior of the ceramic sample during the inspection is proposed to study the different heat transfer mechanisms and detectability levels of the simulated defects. The numerical solution of the model was developed using the Finite Volume Method (FVM), in which the approximated equations are obtained by performing energy balances for each elementary volumes. Experimental and simulated temperature decay curves of defective areas are used to determine the properties of the above-mentioned defects.

► Defects with depth up to 14 mm were clearly detected using IRT.
► Finite volume method is applied to study thermal process and detectability level.
► Defect depth and thermal conductivity are estimated using the inverse method.
► Thermal images are reconstructed using new estimated parameters.
► Sensitivity analysis is performed to analysis the influence of defect parameters on IR signal.