He Xiansong, Liu Yi, Wu Wangqing
State Key Laboratory of High Performance Complex Manufacturing, Central South University, Lushan South Road 932, Changsha 410083, China.
School of Mechanical and Electrical Engineering, Central South University, Lushan South Road 932, Changsha 410083, China.
Polymers (Basel). 2021 Aug 12;13(16):2689. doi: 10.3390/polym13162689.
In situ injection molding of continuous fiber reinforced thermoplastic composites is challenged by unbalanced dual-scale infiltration flow due to the pronounced capillary effect. In this paper, a general and efficient approach was proposed for dual-scale infiltration flow balancing based on numerical simulation. Specifically, Stokes and Brinkman equations were used to describe the infiltration flow in inter- and intra-fiber bundles. In particular, capillary pressure drop was integrated in the Brinkmann equation to consider the capillary effect. The infiltration flow front is tracked by the level set method. Numerical simulation and experimental results indicate that the numerical model can accurately demonstrate the unbalanced infiltration flow in inter- and intra-fiber bundles caused by the changes of the injection rate, the resin viscosity, the injection rate, the fiber volume fraction and the capillary number. In addition, the infiltration flow velocity in inter- and intra-fiber bundles can be efficiently tuned by the capillary number, which is mainly determined by the injection rate for a specified resin system. The optimal capillary numbers obtained by simulation and experiment are 0.022 and 0.026, which are very close to each other. Finally, one-dimensional in situ injection molding experiments with constant injection pressure were conducted to prepare fiber reinforced polymerized cyclic butylene terephthalate composite laminate with various flow rates along the infiltration direction. The experimental results confirmed that the lowest porosity and the highest interlaminar shear strength of the composite can only be obtained with the optimized capillary number, which is basically consistent with the simulation results.
由于显著的毛细效应,连续纤维增强热塑性复合材料的原位注射成型面临着双尺度渗透流不平衡的挑战。本文基于数值模拟提出了一种通用且高效的双尺度渗透流平衡方法。具体而言,使用斯托克斯方程和布林克曼方程来描述纤维束间和纤维束内的渗透流。特别地,将毛细压降纳入布林克曼方程以考虑毛细效应。采用水平集方法跟踪渗透流前沿。数值模拟和实验结果表明,该数值模型能够准确地展示由注射速率、树脂粘度、纤维体积分数和毛细数变化引起的纤维束间和纤维束内渗透流的不平衡。此外,纤维束间和纤维束内的渗透流速可通过毛细数有效调节,对于特定的树脂体系,毛细数主要由注射速率决定。通过模拟和实验获得的最佳毛细数分别为0.022和0.026,二者非常接近。最后,进行了恒压一维原位注射成型实验,以制备沿渗透方向具有不同流速的纤维增强聚对苯二甲酸丁二醇酯复合层压板。实验结果证实,只有在优化的毛细数下才能获得复合材料的最低孔隙率和最高层间剪切强度,这与模拟结果基本一致。