Effect and Prediction of Process Parameters on the Mechanical Properties of Carbon-Fiber-Reinforced Nylon Parts Manufactured via FFF
Carbon-fiber-reinforced nylon parts were processed by using fused filament fabrication(FFF).The effects of fill pattern,fill density,layer height and print direction on the tensile strength of the parts were studied by using the taguchi experimental design.The tensile strength of the parts under different process conditions was predicted by using the radial basis function network(RBF).Based on the signal-to-noise ratio analysis,among the four experimental factors,the fill density has the most significant impact on the tensile strength of the parts.The other influence factors have the following order:print direction>layer height>fill pattern type.The optimal horizontal parameter combination for fused filament fabrication is shown as follows:a fill density of 100%,a print direction of 0°,a layer height of 0.1 mm,a hexagonal fill pattern.With the optimal parameter combination,the tensile strength of the part is 114.09 MPa,which is higher than the predicted value based on regression equation derived from the analysis of variance(108.18 MPa).When the number of hidden layer neurons in the RBF is 56,the mean square error(MSE)for predicting the tensile strength of the part is the lowest(0.003 2).The predicted tensile strength of the part is 113.24 MPa by the RBF under the optimal parameter combination.The MSE between the predicted and experimental values by the RBF is 0.46,while the MSE between the predicted and experimental values by the regression equation is 20.01,indicating that the RBF is more accurate in predicting the tensile strength of parts processed by FFF.
Fused Filament FabricationCarbon-Fiber-Reinforced NylonTaguchi Experimental DesignRadial Basis Function NetworkTensile Strength
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