Statistical analysis of creep behavior in thermoset and thermoplastic composites reinforced with carbon and glass fibers

• Autor(a) principal: Monticeli, Francisco Maciel [UNESP]
• Data de Publicação: 2020
• Outros Autores: dos Reis, Ana Karoline [UNESP], Neves, Roberta Motta, Santos, Luis Felipe de Paula [UNESP], Botelho, Edson Cocchieri [UNESP], Ornaghi, Heitor Luiz [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1177/0309324720976637; http://hdl.handle.net/11449/208218
• topic: composite; creep; statistical approach; Thermoset/thermoplastic laminate

The thermoplastic and thermoset laminates reinforced with different fibers generate variations in the laminated composite mechanical behavior. This work aims to analyze thermoplastic and thermoset composites creep behavior with a reduced number of experiments, applying curve-fitting analytical models (Weibull and Findley) and statistical approach (ANOVA, F-test, and SRM) in order to describe creep behavior. Creep tests were carried out using a design of experiments to define parameter levels, aiming to reduce the number of the experiments, keeping reliability relevance. The temperature shows a stronger influence of creep deformation compared with the use of distinct materials. Thermoplastic matrices seem to be more sensitive to deformation, decreasing the reinforcement contribution. On the other hand, the creep resistance of the thermoset matrix conducts a significant contribution of strain behavior for the reinforcement used. The Findley model showed a temperature-dependent response. While, the Weibull-based model exhibits temperature and material-dependence, ensuring a greater sensitivity range of the parameters applied, an essential factor for a more realistic method description.