https://luck.synhera.be/handle/123456789/39 Tue, 07 Apr 2026 15:23:30 GMT 2026-04-07T15:23:30Z https://luck.synhera.be:443/bitstream/id/3d53414b-d57e-4d50-9028-1f3e985007e0/ https://luck.synhera.be/handle/123456789/39 https://luck.synhera.be/handle/123456789/3096 A Review on Optimization and Damage Simulation in Cylinders for Green Hydrogen Storage Lazaro Batista, Marcos; Palato, Felipe; Rodrigues, Geovani; DEMARBAIX, Anthonin; Diaz Méndez, Yohan Ali; Cunha, Sebastião Simoes Jr. Abstract : "This review article addresses the optimization and damage simulation in Type III and IV composite cylinders for the safe and efficient storage of green hydrogen, a promising energy alternative. The text details the multiple failure modes that can compromise the structural integrity of these high-pressure tanks, such as manufacturing defects, hydrogen embrittlement, permeation, cracks, and delamination. To mitigate these risks, the study highlights the importance of design optimization thru advanced computational simulations, using software such as ANSYS and ABAQUS and failure criteria like Tsai-Wu and Hashin, which allow predicting the burst pressure and identifying critical points in the structure. The integration of experimental tests with these numerical simulations is, therefore, fundamental to developing lighter and more reliable cylinders, ensuring the safety of hydrogen storage systems, especially in risk scenarios such as fires." Thu, 26 Feb 2026 00:00:00 GMT https://luck.synhera.be/handle/123456789/3096 2026-02-26T00:00:00Z https://luck.synhera.be/handle/123456789/3092 Autonomous Virtual Reality Integration for Active Thermography : Engineering Education and Experimentation Strazzeri, Ilario; Notebaert, Arnaud; Smets, Florian; Barros, Camila; Quinten, Julien; DEMARBAIX, Anthonin 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 to interface clarity and result interpretation. The present version (VR_2) has been developed to optimise immersion and pedagogical effectiveness. The novel application was developed for use with standalone headsets, such as Meta Quest 2 and 3. This development resulted in a substantial enhancement of accessibility and ergonomics. The updated system has been developed to consolidate all interactive elements into a single virtual scene. This development is expected to simplify operation and enable students to focus more intuitively on learning tasks and thermographic data analysis. The educational benefits of the application were evaluated using a practical case study involving defect detection in composite materials. It was indicated by the student feedback that VR_2 was superior in terms of navigation, data comparison, and overall usability. The immersive environment was found to be an effective tool in supporting students’ comprehension of thermography principles and enhancing their analytical capabilities. These f indings serve to confirm the relevance of VR in promoting engagement and comprehension in the field of engineering education. Subsequent enhancements are to be centred on the mitigation of extant technical constraints and the incorporation of features such as interactive tutorials and hand tracking, with a view to further enhancing the learning experience." Tue, 03 Sep 2205 00:00:00 GMT https://luck.synhera.be/handle/123456789/3092 2205-09-03T00:00:00Z https://luck.synhera.be/handle/123456789/3091 Design of experiment on smart materials: tensile test on 3D printed composites reinforced with continuous carbon fiber and resistivity detection Ochana, Imi; Ducobu, François; Homrani, Mohamed Khalil; DEMARBAIX, Anthonin 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 a better understanding of aging and structural integrity, which is particularly important in industries relying on advanced manufacturing methods. The aim of this study is to investigate the integration of SHM within additive manufacturing by exploring the relationship between the mechanical and electrical properties of Continuous Carbon Fiber Reinforced Thermoplastic Polymer composites. By embedding monitoring capabilities directly into the manufacturing process, this research seeks to overcome challenges related to material performance monitoring in industrial applications. Specimens compliant with ASTM D638 were fabricated using Fused Deposition Modeling (FDM) with coextrusion technology, which exposed the reinforcing carbon fibers at their ends for resistivity measurements. Carbon fiber’s electrical conductivity is leveraged to study variations in resistivity under mechanical stress. Three key variables were examined: carbon fiber filling patterns (U-shaped and W-shaped), the number of fiber layers, 2 or 4, and matrix filling densities, 10% or 30%. Tensile tests, conducted at 0.05 mm/s with a maximum tensile force of 2500 N, measured elongation, Young's modulus, resistivity and Gauge Factor (GF). The results provide critical insights into SHM integration in additive manufacturing. " Sat, 05 Jul 2025 00:00:00 GMT https://luck.synhera.be/handle/123456789/3091 2025-07-05T00:00:00Z https://luck.synhera.be/handle/123456789/3090 Characterization of Defects by Non-Destructive Impulse Excitation Technique for 3D Printing FDM Polyamide Materials in Bending Mode Jabri, Fatima-Ezzahrae; Ochana, Imi; Ducobu, François; El Alaiji, Ra; DEMARBAIX, Anthonin 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 include peak frequency, damping and amplitude. Non-defective samples show lower peak frequency and stronger amplitude for both detectors. Moreover, defects larger than 3 mm have minimal impact on peak frequency. The vibration detector is more sensitive to delamination presented at 7 and 10 mm defects. In addition, elevated peak frequency at 3 mm is the result of local hardening at the defect edge. Moreover, a neutral line position reduces damping when the defect size approaches 5 mm. Conversely, acoustic detectors ignore delamination and reveal lower damping and amplitude at 7 and 10 mm defects. Furthermore, internal sound diffusion from 3 and 5 mm defects enhances air losses and damping. Acoustic detectors only evaluate fault size and position, whereas vibrational detectors may detect local reinforcement and delamination more easily. These results highlight the importance of choosing the right detector according to the location, size, and specific modal characteristics of defects." Fri, 25 Jul 2025 00:00:00 GMT https://luck.synhera.be/handle/123456789/3090 2025-07-25T00:00:00Z