Abstract : "This study aims to design an Artificial Neural Network (ANN) able to provide its user, in a numerical and experimental context, with a combination of heating parameters in an active thermography process. This combination allowing the user to reliably detect a known in size and depth delamination, which is one of the most important sources of damages in composite structures. This work ...

Article presented at the first International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024), Regina, Canada, 27–29 June 2024. Abstract: "This paper investigates active thermography models for non-destructive testing of composites, with a focus on continuous carbon fiber reinforced thermoplastic polymer (CCFRTP) components, in order to detect flaws such as porosity ...

Abstract: "Additive manufacturing of advanced materials has become widespread, encompassing a range of materials including thermoplastics, metals, and ceramics. For the ceramics, the complete production process typically involves indirect additive manufacturing, where the green ceramic part undergoes debinding and sintering to achieve its final mechanical and thermal properties. To avoid unnecessary ...

Abstract: "This study investigates the feasibility and effectiveness of two non-destructive testing methods, active thermography and shearography, on 3D-printed thermoplastic (TP) composites reinforced with continuous carbon fiber. Artificial defects were introduced into the composite plate to benchmark the detection capabilities of these non-destructive testing techniques (NDT). Active thermography ...

Abstract en anglais : "The interconnection between engineering simulations, real-world experiments, and virtual reality remains underutilised in engineering. This study addresses this gap by implementing such interconnections, focusing on active thermography for a carbon fibre plate in the aerospace domain. Six scenarios based on three parameters were simulated using ComSol Multiphysics 6.2 and ...