Increasing dimension of structures by 4D printing shape memory polymers via fused deposition modeling

形状记忆聚合物 熔融沉积模型 维数(图论) 沉积(地质) 3D打印 聚合物 材料科学 形状记忆合金 复合材料 工程制图 纳米技术 计算机科学 高分子科学 工程类 数学 地质学 纯数学 古生物学 沉积物
作者
Gang Hu,A.R. Damanpack,Mahdi Bodaghi,Wei‐Hsin Liao
出处
期刊:Smart Materials and Structures [IOP Publishing]
卷期号:26 (12): 125023-125023 被引量:96
标识
DOI:10.1088/1361-665x/aa95ec
摘要

The main objective of this paper is to introduce a 4D printing method to program shape memory polymers (SMPs) during fabrication process. Fused deposition modeling (FDM) as a filament-based printing method is employed to program SMPs during depositing the material. This method is implemented to fabricate complicated polymeric structures by self-bending features without need of any post-programming. Experiments are conducted to demonstrate feasibility of one-dimensional (1D)-to 2D and 2D-to-3D self-bending. It is shown that 3D printed plate structures can transform into masonry-inspired 3D curved shell structures by simply heating. Good reliability of SMP programming during printing process is also demonstrated. A 3D macroscopic constitutive model is established to simulate thermo-mechanical features of the printed SMPs. Governing equations are also derived to simulate programming mechanism during printing process and shape change of self-bending structures. In this respect, a finite element formulation is developed considering von-Karman geometric nonlinearity and solved by implementing iterative Newton–Raphson scheme. The accuracy of the computational approach is checked with experimental results. It is demonstrated that the theoretical model is able to replicate the main characteristics observed in the experiments. This research is likely to advance the state of the art FDM 4D printing, and provide pertinent results and computational tool that are instrumental in design of smart materials and structures with self-bending features.

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