3D printing of optimized composites with variable fiber volume fraction and stiffness using continuous fiber

In this study, we optimized the curved fiber trajectories to realize variable fiber volume fraction and stiffness composites (VVfSC) using a continuous fiber composite 3D printer. During optimization, the fiber orientation was maintained along the principal stress direction based on preliminary stre...

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Bibliographic Details
Published in:Composites science and technology 2020-01, Vol.186, p.107905, Article 107905
Main Authors: Sugiyama, Kentaro, Matsuzaki, Ryosuke, Malakhov, Andrei V., Polilov, Alexander N., Ueda, Masahito, Todoroki, Akira, Hirano, Yoshiyasu
Format: Article
Language:English
Subjects:
3-D printers
Bolted joints
Carbon fibers
Composite materials
Continuous fiber composites
Fiber composites
Fiber orientation
Fiber volume fraction
Fibers
Laminates
Mathematical analysis
Optimization
Printers
Stiffness
Stress distribution
Tensile tests
Three dimensional composites
Three dimensional printing
Trajectory optimization
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Summary:In this study, we optimized the curved fiber trajectories to realize variable fiber volume fraction and stiffness composites (VVfSC) using a continuous fiber composite 3D printer. During optimization, the fiber orientation was maintained along the principal stress direction based on preliminary stress field calculations, and the fiber trajectories were subsequently obtained. The fiber volume fraction was calculated from the obtained fiber trajectories; then, stress field calculations and redetermination of the fiber trajectories were performed. Optimization was achieved by repeating this sequence until convergence was obtained. Based on the optimization result, the specimens were molded using a continuous carbon fiber 3D printer and evaluated with bolt joint tensile tests. It was demonstrated that the stiffness and strength per unit weight of the optimized VVfSC were 9.4 and 1.6 times greater than those of conventional linear laminates, respectively.
ISSN:0266-3538
1879-1050
DOI:10.1016/j.compscitech.2019.107905