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On the Multi-Parameter Experimental Investigation of Curing Cycle for Glass Fabric/Epoxy Laminated Composites
Abstract:
In this study, a multi-parameter analysis, using Taguchi method for design of
experiments, has been conducted to investigate the optimum curing conditions for
E-glass fabric/epoxy laminated composites. The independent variables in the
L25 Taguchi orthogonal array were heating rate a, curing
temperature TC and curing time
tC, including five levels each. Tensile and
3-point bending tests were performed for each experiment number (run number) of
the Taguchi L25. In this study, the significant factors for both
tensile and flexural performance were temperature and time at 95% confidence
level. Specifically, the tensile performance was affected almost equally by both
curing temperature and time (32.71% and 35.89%, respectively). The flexural
performance was mostly affected by curing temperature (44.02%) and secondarily
by curing time (31.52%).
The use of Poisson regression method, combined with backward elimination, has
been introduced to increase the accuracy of the multiple regression model. In
fact, the accuracy (R2) of the Poisson Regression
model was greater than 97%, when the respective one of the commonly used
Multiple Regression models tested was about 65%-70%. Specifically, using Poisson
Regression Model, in the case of tensile model R2
was equal to 97.05% and in the case of flexural model
R2 reaches the value of 98.11%.