Liu Manxian, Qu Sheng, Li Shuo, Yan Xiaoqiang, Li Wei, Wang Yesong
School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, China.
Polymers (Basel). 2025 Jul 3;17(13):1865. doi: 10.3390/polym17131865.
Defects arising from the 3D printing process of continuous fiber-reinforced thermoplastic composites primarily hinder their overall performance. These defects particularly include twisting, folding, and breakage of the fiber bundle, which are induced by printing trajectory errors. This study presents a follow-up theory assumption to address such issues, elucidates the formation mechanism of printing trajectory errors, and examines the impact of key geometric parameters-trace curvature, nozzle diameter, and fiber bundle diameter-on these errors. An error model for printing trajectory is established, accompanied by the proposal of a trajectory error compensation method premised on maximum printable curvature. The presented case study uses CCFRF/PA as an exemplar; here, the printing layer height is 0.1~0.3 mm, the fiber bundle radius is 0.2 mm, and the printing speed is 600 mm/min. The maximum printing curvature, gauged by the printing trajectory of a clothoid, is found to be 0.416 mm. Experimental results demonstrate that the error model provides accurate predictions of the printed trajectory error, particularly when the printed trajectory forms an obtuse angle. The average prediction deviations for line profile, deviation kurtosis, and deviation area ratio are 36.029%, 47.238%, and 2.045%, respectively. The error compensation effectively mitigates the defects of fiber bundle folding and twisting, while maintaining the printing trajectory error within minimal range. These results indicate that the proposed method substantially enhances the internal defects of 3D printed components and may potentially be applied to other continuous fiber printing types.
连续纤维增强热塑性复合材料3D打印过程中产生的缺陷主要阻碍其整体性能。这些缺陷尤其包括纤维束的扭曲、折叠和断裂,它们是由打印轨迹误差引起的。本研究提出了后续理论假设来解决此类问题,阐明了打印轨迹误差的形成机制,并研究了关键几何参数——轨迹曲率、喷嘴直径和纤维束直径——对这些误差的影响。建立了打印轨迹的误差模型,并提出了一种基于最大可打印曲率的轨迹误差补偿方法。所呈现的案例研究以CCFRF/PA为例;在此,打印层高为0.1~0.3毫米,纤维束半径为0.2毫米,打印速度为600毫米/分钟。由回旋曲线的打印轨迹测量得到的最大打印曲率为0.416毫米。实验结果表明,该误差模型能够准确预测打印轨迹误差,尤其是当打印轨迹形成钝角时。线轮廓、偏差峰度和偏差面积比的平均预测偏差分别为36.029%、47.238%和2.045%。误差补偿有效减轻了纤维束折叠和扭曲的缺陷,同时将打印轨迹误差保持在最小范围内。这些结果表明,所提出的方法显著改善了3D打印部件的内部缺陷,并且可能潜在地应用于其他连续纤维打印类型。