Compressive behaviour of 3D printed thermoplastic polyurethane honeycombs with graded densities

材料科学 复合材料 蜂巢 制作 聚氨酯 蜂窝结构 热塑性塑料 热塑性聚氨酯 相对密度 抗压强度 压缩(物理) 弹性体 微观结构 医学 替代医学 病理
作者
Simon R.G. Bates,Ian Farrow,Richard S. Trask
出处
期刊:Materials & Design [Elsevier]
卷期号:162: 130-142 被引量:212
标识
DOI:10.1016/j.matdes.2018.11.019
摘要

Fused filament fabrication of thermoplastic polyurethanes (TPUs) offers a capability to manufacture tailorable, flexible honeycomb structures which can be optimised for energy absorbing applications. This work explores the effect of a range of grading methodologies on the energy absorbing and damping behaviour of flexible TPU honeycomb structures. By applying density grading, the energy absorbing and damping profiles are significantly modified from the uniform density equivalent. A 3D-printing procedure was developed which allowed the manufacture of high-quality structures, which underwent cyclic loading to densification without failure. Graded honeycomb architectures had an average relative density of 0.375 ± 0.05. After quasi-static testing, arrays were subjected to sinusoidal compression over a range of amplitudes at 0.5 Hz. By grading the structural density in different ways, mechanical damping was modified. Cyclic compressive testing also showed how strain-softening of the TPU parent material could lead to reduced damping over the course of 50 cycles. Samples were subjected to impact loading at strain-rates of up to 51 s-1 and specific impact energies of up to 270 mJ/cm3. Lower peak loads were transferred for graded samples for the most severe impact cases. This behaviour reveals the potential of density grading of TPU structures to provide superior impact protection in extreme environmental conditions.

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
mengzhao发布了新的文献求助10
1秒前
1秒前
1秒前
折枝念晚宁完成签到,获得积分10
1秒前
哟呵大鱼完成签到,获得积分10
1秒前
量子星尘发布了新的文献求助10
2秒前
2秒前
thia发布了新的文献求助10
2秒前
2秒前
文献dog发布了新的文献求助10
3秒前
高兴宝贝完成签到 ,获得积分10
3秒前
cheng123完成签到,获得积分10
3秒前
lxp发布了新的文献求助10
3秒前
吴军霄完成签到,获得积分10
3秒前
4秒前
4秒前
4秒前
LJY发布了新的文献求助10
4秒前
科研通AI6应助薄荷采纳,获得10
4秒前
梦XING发布了新的文献求助10
5秒前
刘雨桐完成签到,获得积分10
5秒前
ding应助Camille采纳,获得10
5秒前
5秒前
Cythina发布了新的文献求助10
6秒前
呀土豆发布了新的文献求助10
6秒前
6秒前
科研通AI6应助tang123采纳,获得10
7秒前
旺旺发布了新的文献求助10
7秒前
8秒前
wanghuihui完成签到,获得积分10
9秒前
量子星尘发布了新的文献求助10
9秒前
瘦瘦问旋发布了新的文献求助10
9秒前
猪猪侠应助lxp采纳,获得10
9秒前
wuyuxi发布了新的文献求助20
10秒前
zzzz完成签到,获得积分10
10秒前
10秒前
科目三应助thia采纳,获得10
10秒前
12秒前
CardiB完成签到,获得积分10
13秒前
饱满的琦发布了新的文献求助10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5666928
求助须知:如何正确求助?哪些是违规求助? 4883518
关于积分的说明 15118330
捐赠科研通 4825864
什么是DOI,文献DOI怎么找? 2583597
邀请新用户注册赠送积分活动 1537760
关于科研通互助平台的介绍 1495956