结构短纤维增强复合材料的设计与增材制造

Yiran Guo, Arijit Pradhan, Petra Jonson, Narasimha Boddeti
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引用次数: 0

摘要

我们提出了一种高效的多尺度增材制造工作流程,用于结构短纤维增强复合材料,即具有定制空间变化的复合材料,纤维的复杂排列以提高性能。我们的工作流程包括:(1)多尺度拓扑优化(MTO),(2)独特的去均质化算法,以及(3)机器人增材制造。具体来说,我们使用了基于均质化的MTO,它可以同时计算高效地优化宏观结构和结构纤维微观结构。我们设计了一种基于条纹图案算法的脱均质化方法,将优化设计转化为可制造的打印方案,同时确保最小偏差,用于材料挤压增材制造工艺。我们采用这种制造方法在三自由度笛卡尔机器人和六自由度机械臂上加工短碳纤维增强环氧树脂,这两种机器人在增材制造中应用广泛。通过平面拉伸结构和非平面球壳的设计和制造,验证了该工作流程的有效性,并对增材制造的优化结构进行了力学试验,结果与数值预测吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Additive Manufacture of Architected Short Fiber Reinforced Composites

We present an efficient multiscale design to additive manufacture workflow for architected short fiber reinforced composites, that is, composites with tailored spatially varying, complex arrangement of fibers for improved performance. Our workflow encompasses: (1) multiscale topology optimization (MTO), (2) a unique dehomogenization algorithm, and (3) robotic additive manufacturing. Specifically, we used homogenization based MTO, which enables computationally efficient simultaneous optimization of the macroscale structure and the architected fiber microstructure. We devised a dehomogenization method based on the stripe patterns algorithm to translate the optimized designs into manufacturable print plans, while ensuring minimal deviations, for material extrusion additive manufacturing processes. We adapted this manufacturing approach to process short carbon fiber reinforced epoxy on both 3-DoF (degrees of freedom) Cartesian robots and 6-DoF robotic arms, two widely used robots for additive manufacturing. We demonstrated the workflow's efficacy through design and manufacture of a planar tensile structure and a nonplanar spherical shell, with mechanical tests on the additively manufactured optimized structures agreeing well with numerical predictions.

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CiteScore
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