1. Material characterization and precise finite element analysis of fiber reinforced thermoplastic composites for 4D printing
- Author
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Lining Yao, Yuxuan Yu, Matthew McGehee, Humphrey Yang, Kuanren Qian, Jianzhe Gu, Haolin Liu, Yongjie Jessica Zhang, and Danli Luo
- Subjects
Computational Geometry (cs.CG) ,FOS: Computer and information sciences ,0209 industrial biotechnology ,FOS: Physical sciences ,3D printing ,Mechanical engineering ,Applied Physics (physics.app-ph) ,02 engineering and technology ,Industrial and Manufacturing Engineering ,law.invention ,020901 industrial engineering & automation ,law ,0202 electrical engineering, electronic engineering, information engineering ,Fused deposition modeling ,business.industry ,Process (computing) ,020207 software engineering ,Physics - Applied Physics ,Computer Graphics and Computer-Aided Design ,Finite element method ,Computer Science Applications ,Characterization (materials science) ,Workflow ,Computer Science - Computational Geometry ,Deformation (engineering) ,business ,Size effect on structural strength - Abstract
Four-dimensional (4D) printing, a new technology emerged from additive manufacturing (3D printing), is widely known for its capability of programming post-fabrication shape-changing into artifacts. Fused deposition modeling (FDM)-based 4D printing, in particular, uses thermoplastics to produce artifacts and requires computational analysis to assist the design processes of complex geometries. However, these artifacts are weak against structural loads, and the design quality can be limited by less accurate material models and numerical simulations. To address these issues, this paper propounds a composite structure design made of two materials - polylactic acid (PLA) and carbon fiber reinforced PLA (CFPLA) - to increase the structural strength of 4D printed artifacts and a workflow composed of several physical experiments and series of dynamic mechanical analysis (DMA) to characterize materials. We apply this workflow to 3D printed samples fabricated with different printed parameters to accurately characterize the materials and implement a sequential finite element analysis (FEA) to achieve accurate simulations. The accuracy of deformation induced by the triggering process is both computationally and experimentally verified with several creative design examples, and the 95% confidence interval of the accuracy is (0.972, 0.985). We believe the presented workflow is essential to the combination of geometry, material mechanism and design, and has various potential applications., The first two authors contributed equally. 18 figures, 11 pages
- Published
- 2020