Abstract
The ability to predict fiber orientation accurately is critical for determining the improvement of mechanical properties of injection molded composites. Based on the cumulative distribution function (CDF) monotonically increasing, a smoothing model of piecewise linear approximation function is proposed by assuming that the first derivative is continuous. Taking into account the ability of Weibull distribution reducing to an exponential decay function, a generalized distribution function (GDF) of fiber orientation is proposed by introducing the core thickness ratio (hc) to describe the sandwich layered morphology. Compared with the experimental results in the literatures, the cumulative generalized distribution function fits well (R2 > 0.98), and there is a good correlation (RE<6%) between the experimental results and the elastic moduli computed based on the GDF's FOD and the modified Weibull distribution for FLD. In comparison to RSC model, the GDF improves more than 5% in prediction precisions of elastic moduli for long fiber-reinforced thermoplastics (LFT).
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