Photo-thermal depth profiling of metal - ceramics structures using artificial neural networks

Abstract
In this paper, a method of determination of thermal properties of multilayer structures using thermal wave measurements and artificial neural networks (ANN) is described. The copper-corundum bondings were examined. The presented method is based on analysis of amplitude and phase characteristics of the photoacoustic signal and usage of ANN for determination of thermal parameters.