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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
ding应助zy采纳,获得30
刚刚
阿莫西林发布了新的文献求助10
刚刚
1秒前
上上签发布了新的文献求助10
1秒前
1秒前
Ava应助乐乐采纳,获得10
1秒前
汉堡包应助youxiaotong采纳,获得10
1秒前
Tay完成签到,获得积分20
1秒前
马上就毕业应助菲12345678采纳,获得10
1秒前
丸子完成签到,获得积分10
1秒前
1秒前
赵千灵发布了新的文献求助20
2秒前
胡俊豪完成签到,获得积分10
2秒前
英俊的铭应助jy采纳,获得10
3秒前
小马同学完成签到,获得积分10
3秒前
3秒前
汉堡包应助搬砖工人采纳,获得10
4秒前
Amikacin发布了新的文献求助10
4秒前
明明完成签到,获得积分10
4秒前
吃瓜群众发布了新的文献求助10
4秒前
zhangz完成签到,获得积分10
4秒前
4秒前
4秒前
儒雅水杯发布了新的文献求助10
4秒前
朴实之卉发布了新的文献求助10
4秒前
petrichor完成签到 ,获得积分10
5秒前
keyanqianjin发布了新的文献求助10
6秒前
小范要努力完成签到,获得积分10
7秒前
tyy发布了新的文献求助10
7秒前
董咚咚发布了新的文献求助10
8秒前
风吹麦田应助林夕夕采纳,获得10
8秒前
8秒前
净00发布了新的文献求助10
8秒前
klz完成签到 ,获得积分10
9秒前
领导范儿应助鸥羡采纳,获得10
9秒前
9秒前
打打应助sterne采纳,获得10
9秒前
岁岁平安完成签到,获得积分10
10秒前
10秒前
高分求助中
The Wiley Blackwell Companion to Diachronic and Historical Linguistics 3000
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
GMP in Practice: Regulatory Expectations for the Pharmaceutical Industry 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6295858
求助须知:如何正确求助?哪些是违规求助? 8113373
关于积分的说明 16981351
捐赠科研通 5358058
什么是DOI,文献DOI怎么找? 2846666
邀请新用户注册赠送积分活动 1823886
关于科研通互助平台的介绍 1678994