Xiao Hong, Han Wei, Ming Yueke, Ding Zhongqiu, Duan Yugang
State Key Lab for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Materials (Basel). 2019 Nov 29;12(23):3961. doi: 10.3390/ma12233961.
Three-dimensional printing of continuous carbon fiber/epoxy composites (CCF/EPCs) is an emerging additive manufacturing technology for fiber-reinforced polymer composites and has wide application prospects. However, the 3D printing parameters and their relationship with the mechanical properties of the final printed samples have not been fully investigated in a computational and quantifiable way. This paper presents a sensitivity analysis (SA)-based parameter optimization framework for the 3D printing of CCF/EPCs. A surrogate model for a process parameter-mechanical property relationship was established by support vector regression (SVR) analysis of the experimental data on flexural strength and flexural modulus under different process parameters. An SA was then performed on the SVR surrogate model to calculate the importance of each individual 3D printing parameter on the mechanical properties of the printed samples. Based on the SA results, the optimal 3D printing parameters and the corresponding flexural strength and flexural modulus of the printed samples were predicted and verified by experiments. The results showed that the proposed framework can serve as a high-accuracy tool to optimize the 3D printing parameters for the additive manufacturing of CCF/EPCs.
连续碳纤维/环氧树脂复合材料（CCF/EPCs）的三维打印是一种用于纤维增强聚合物复合材料的新兴增材制造技术，具有广阔的应用前景。然而，3D打印参数及其与最终打印样品力学性能之间的关系尚未以计算和可量化的方式得到充分研究。本文提出了一种基于敏感性分析（SA）的CCF/EPCs三维打印参数优化框架。通过对不同工艺参数下弯曲强度和弯曲模量的实验数据进行支持向量回归（SVR）分析，建立了工艺参数-力学性能关系的代理模型。然后对SVR代理模型进行敏感性分析，以计算每个3D打印参数对打印样品力学性能的重要性。基于敏感性分析结果，预测了最佳3D打印参数以及打印样品相应的弯曲强度和弯曲模量，并通过实验进行了验证。结果表明，所提出的框架可作为一种高精度工具，用于优化CCF/EPCs增材制造的3D打印参数。
