Impact of drilling operations on the fatigue performance of CFRP and CFRP/Ti hybrid structures using a thermographic approach
[EN] This study investigates the use of infrared thermography as a non-destructive technique to predict the fatigue life of carbon fiber-reinforced polymer (CFRP) laminates, with and without titanium (Ti) stacking, assessing the impact of drilling-induced damage. Drilling, essential for creating mec...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/232299 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/232299 |
| Access Level: | acceso abierto |
| Palabra clave: | CFRP Stacks Drilling Fatigue Thermography |
| Sumario: | [EN] This study investigates the use of infrared thermography as a non-destructive technique to predict the fatigue life of carbon fiber-reinforced polymer (CFRP) laminates, with and without titanium (Ti) stacking, assessing the impact of drilling-induced damage. Drilling, essential for creating mechanical joints, introduces defects that significantly reduce the fatigue life of CFRP. Several models based on data obtained from infrared thermography were applied. These models rely on different parameters from the temperature curve during the test, such as the initial and final slope, the stable temperature in the second phase, or the total dissipated energy. Using these data, it is possible to estimate the remaining fatigue life or the fatigue limit of the material. The results show that models based on the initial slope of the temperature curve provide accurate estimates with errors close to 10%, while models using the stabilized temperature exhibit errors around 19%. Although final-phase models were less accurate, methods based on total dissipated energy effectively predict fatigue limits. Overall, the study demonstrated an average accuracy of 15% in fatigue life prediction under various damage conditions, validating infrared thermography as an effective tool for structural integrity assessment in industrial applications. |
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