Simulated thermal image based on finite element models for a layered composite structures

Abstract

This research aims to develop a simulation technique to predict the experimental results of the transient Thermal Nondestructive Test (TNDT) on Carbon fiber-reinforced polymer (CFRP) materials that have defects in them. This simulation uses finite element method-based software to solve the temperature distribution on the material surface. Such an approach is not only flexible but also essential to the successful implementation of TNDT procedures. The developed CFRP material model is made up of multiple layers with several depths of defects. The defects are represented by the material-inserted isosceles triangle and the voids isosceles triangle. Heat is applied to the model front surface for some time and then released and the model cools down naturally. The temperature distributions of the model's surface are measured during the heating and cooling process. The simulation results show that simulation can detect the existing defects, their location, and their relative depth. The thermography experiment was carried out to verify the simulation results. The experimental results were analyzed using the local differential temperature signal parameter. This simulation will streamline the desired experimental design.