A Numerical And Statistical Approach For Optimization Of Tab Design For Non-Crimp Fabric Composites
Idioma
en
Article de revue
Este ítem está publicado en
Procedia Manufacturing. 2019-09-01, vol. 35, p. 820-825
Elsevier
Resumen en inglés
In standard practice, testing of composites in tension requires the use of stress inducing serrated grips. The low transverse compressive strength of unidirectional non-crimp fabric composites limits the application of ...Leer más >
In standard practice, testing of composites in tension requires the use of stress inducing serrated grips. The low transverse compressive strength of unidirectional non-crimp fabric composites limits the application of high clamping forces. Tabs are therefore essential as they ensure a reduction in grip pressure transmission, surface damage and induced stress damage. Tabs, however, tend to introduce induced stress concentrations at the tab termination region. The objective of this study was to minimise stress concentration by varying tab design configurations to determine the optimal design most suitable for tensile testing of non-crimp fabric composites using finite element and statistical tools. Finite element models generated from experimental data were used for accessing the stress concentrations. A two (2)-level full factorial design was adopted and utilised for statistical analysis. Results revealed that tab stiffness, tab taper angle, adhesive thickness and manufacturing process (bonded or molded) were statistically significant for minimising stress concentration. molded tabs were found to be acceptableif the stiffness of tab was significantly lower than test specimen. The optimal configuration derived from the multiple response optimisation was tab stiffness (20 Gpa), tab Thickness (0.5 mm), tab length (50 mm), tab taper angle (5 o ) and adhesive thickness (1.5 mm).< Leer menos
Palabras clave en inglés
Composite desirability
Factorial design
Finite element
Response optimization
Tab
Stress concentration
Orígen
Importado de HalCentros de investigación