International Conference, XR Salento 2025, Otranto, Italy, June 17–20 2025 Abstract : "The present study sets out the development and evaluation of an autonomous virtual reality (VR) environment designed to enhance the teaching and experimentation of active thermography in engineering education. This paper builds upon a previous version (VR_1), the limitations of which were revealed to be related ...

Abstract : "In this paper, physical and compression properties of 3D printed polyamide 12 (PA12) cylindrical parts are evaluated, and the impact of process parameters on these properties was analyzed. Within these parameters, a novel parameter is studied, powder heating temperature before printing, in order to examine its indirect effect on 3D parts. Firstly, compression samples were prepared by ...

Abstract : "The presented article analyzes the impact of internal defects on the modal responses of polyamide parts subjected to bending. Samples with defects of various sizes (0, 3, 5, 7, and 10 mm) located at the neutral bending line were tested. Modal properties were measured via an acoustic and a vibration sensor, using impulse excitation and fast Fourier transform (FFT) analysis. Modal properties ...

Dans le cadre de la 28e "International ESAFORM Conference on Material forming", du 7 au 9 mai 2025 à Paestum en Italie. Abstract : "Structural Health Monitoring (SHM) refers to the process of continuously assessing the condition of materials and structures to detect damage, degradation, or performance changes over time. It uses sensors integrated into materials to monitor their behavior, enabling ...

Abstract : "Fused deposition modeling (FDM) is an additive manufacturing technique with good precision and moderate tolerances. Utilizing Finite Element Analysis (FEA) in literature is now key to studying the properties of these printed parts. The nature of the FDM process results in anisotropic inner structures with microscopic voids that are heavily affected by printing parameters. Even more so ...

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 ...