基于响应面法的机器人辅助激光增材制造连续纤维复材I型层间断裂韧性优化

Optimization of mode I interlaminar fracture toughness for continuous fiber composites in robot-assisted laser additive manufacturing based on response surface methodology

  • 摘要: 本文针对连续纤维增强热塑性复合材料(CFRTPC)在增材制造中层间结合强度不足的问题,研究了机器人辅助激光增材制造(RLAM)工艺对I型层间断裂韧性的优化效果。通过响应面法系统分析了成形压力、激光功率和打印速度三个关键工艺参数的耦合影响。对由连续碳纤维增强PLA复合材料(CCF/PLA)制成的双悬臂梁(DCB)试样,进行了符合ASTM D5528标准的测试,并基于修正梁理论计算了I型层间断裂韧性。结果表明,相较于熔融沉积成型(FDM),RLAM工艺因激光原位固化和压辊成形压力的作用,显著提升了纤维树脂界面结合强度,产生了更多纤维桥接,并提高了I型层间断裂韧性初始值(GInit)和扩展值(GProp),最大承载能力提升至230.8%,断裂时间延长至1.089倍。响应面3D模型显示,成形压力增大总体导致韧性下降,而激光功率与打印速度均存在最优区间;采用方差分析(ANOVA)表明模型显著(P<0.001),且决定系数(R2)大于0.98验证了模型可靠。通过优选工艺参数(成形压力50 N、激光功率10 W、打印速度20 mm·s−1)进行验证,GInitGProp的预测值与实验值误差均低于1%。SEM微观结构分析进一步揭示,RLAM试样断口呈现大量纤维桥接以及树脂塑性变形,说明良好的界面结合强度是提升层间性能的关键。本研究通过增材制造工艺参数的协同优化,为从根本上改善连续纤维复合材料层间性能提供了新的方法和理论依据。

     

    Abstract: This study addresses the issue of insufficient interlaminar bonding strength in continuous fiber-reinforced thermoplastic composites (CFRTPC) during additive manufacturing. It investigates the optimization effect of Robot-assisted Laser Additive Manufacturing (RLAM) on mode I interlaminar fracture toughness. A response surface methodology was employed to systematically analyze the coupled effects of three critical process parameters: forming pressure, laser power, and printing speed. Double cantilever beam (DCB) specimens made of continuous carbon fiber-reinforced PLA composite (CCF/PLA) were tested according to ASTM D5528, with mode I interlaminar fracture toughness calculated using modified beam theory. The results indicate that, compared to Fused Deposition Modeling (FDM), the RLAM process significantly enhances the fiber-resin interfacial bonding strength, generates more fiber bridging, and improves both the initiation value (GInit) and propagation value (GProp) of mode I interlaminar fracture toughness due to the combined effects of laser in-situ curing and the pressure exerted by the forming roller. The maximum load-bearing capacity increases to 230.8%, and the fracture time extends by a factor of 1.089. The 3D response surface model shows that an increase in forming pressure generally leads to a decrease in toughness, while both laser power and printing speed have optimal ranges. Analysis of variance (ANOVA) confirmed that the model is significant (P<0.001), and the coefficient of determination (R2) exceeding 0.98 validates the model’s reliability. Validation using optimized process parameters (forming pressure of 50 N, laser power of 10 W, and printing speed of 20 mm·s−1) showed that the errors between the predicted and experimental values for GInit and GProp were both less than 1%. SEM microstructural analysis further revealed abundant fiber bridging and resin plastic deformation at the RLAM specimen fracture surface, indicating that enhanced interfacial bonding strength is crucial for improving interlaminar performance. This study provides a novel methodology and theoretical basis for fundamentally improving the interlaminar properties of continuous fiber composites through the synergistic optimization of additive manufacturing process parameters.

     

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