Compression molding of Sheet Molding Compounds (SMC) is a manufacturing process in which a stack of discontinuous fiber-reinforced thermoset sheets is formed in a hot mold. The reorientation of fibers during this molding process can be either described by macroscale models based on Jeffery's equation or by direct mesoscale simulations of individual fiber bundles. In complex geometries and for long fibers, direct bundle simulations outperform the accuracy of state-of-the-art macroscale approaches in terms of fiber orientation and fiber volume fraction. However, it remains to be shown that they are able to predict the necessary compression forces. In this contribution, both approaches are applied to the elongational flow in a press rheometer and compared to experiments with 23\% glass fiber volume fraction. Compared to previous work on direct bundle simulation, the material model is extended to include non-isothermal, non-Newtonian and compaction effects. The results show that the mesoscale direct bundle simulation accurately predicts individual contributions to the total compression force. Jeffery's basic model is able to predict orientations similar to the high-fidelity mesoscale model. For planar SMC flow, this basic model appears to be even better suited than the more advanced orientation models with diffusion terms developed for injection molding.
翻译:石板熔化化合物(SMC)的压缩模型(SMC)是一个制造过程,在这个过程中,一组不连续的纤维加热热制温板在热模子中形成。在这个模子过程中,纤维的调整可以通过基于杰弗利方程式的宏观模型描述,也可以通过单个纤维捆绑的直接中间模拟描述。在复杂的地貌和长纤维中,直接捆绑模拟在纤维方向和纤维体积分数方面超过最先进的宏观方法的准确性。但结果显示,在纤维方向和纤维体积分数方面,它们能够预测必要的压缩力。但是,还有待证明,它们能够预测必要的压缩力。在这个过程中,两种方法都应用于按压力计的延长流和与23 ⁇ 玻璃纤维体积部分的实验相比较。与以前直接捆绑模拟的工作相比,材料模型的范围扩大到包括非硅、非牛顿和压缩效应。结果显示,中尺度直接捆绑模拟准确预测个人对总压缩力的贡献。在这种模型的基本模型中,甚至能够预测比高级方向更适合的模型的流。