亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Energy absorption of central self-similar honeycombs under quasi-static axial load

材料科学 蜂巢 结构工程 复合材料 准静态过程 吸收(声学) 能量(信号处理) 物理 工程类 热力学 量子力学
作者
Chenghao Guo,Xueyu Cheng,Lixin Lu,Liao Pan,Jun Wang
出处
期刊:International Journal of Mechanical Sciences [Elsevier]
卷期号:274: 109264-109264 被引量:25
标识
DOI:10.1016/j.ijmecsci.2024.109264
摘要

At present, improving the energy absorption capacity of lightweight degradable polymer honeycombs is crucial for one of the future engineering applications and bio-inspired strategy based on hierarchy is considered an efficient method for designing honeycomb structures. To improve the energy absorption performance and stability of polymer honeycombs, this study develops three central self-similar bio-inspired honeycombs combining the microstructure of horsetails and designs different connections between the two walls and connecting structures for the central self-similar honeycombs. Bio-inspired honeycombs are fabricated using toughened polylactic acid (PolyMaxTM PLA) through fused deposition modelling and subjected to axial compression tests. The finite element (FE) models of the bio-inspired honeycombs are developed to simulate the axial compression process and verified with experimental results. Results show that the connecting structures distributed on the outer wall of the central self-similar honeycombs considerably improve the energy absorption performance of the bio-inspired honeycombs. In the double-cell honeycombs, connecting structures interact with the cell walls, leading to the formation of more folding lobes on the cell walls and increased cell wall utilisation. Furthermore, the effects of geometrical parameters on the energy absorption performance of the bio-inspired honeycombs are investigated. Suitable connecting structure size and cell wall thickness can improve the energy absorption performance and stability of the honeycombs. In addition, the theoretical calculation models of the three bio-inspired honeycombs are established, and the errors with the FE calculation results are within 6%, which verifies the accuracy of the theoretical models.
最长约 10秒,即可获得该文献文件

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
1秒前
xiaohardy完成签到,获得积分10
5秒前
上官若男应助akakns采纳,获得10
5秒前
7秒前
超级巨星发布了新的文献求助10
8秒前
乔治韦斯莱完成签到 ,获得积分10
9秒前
bkagyin应助科研通管家采纳,获得10
10秒前
13秒前
z123完成签到,获得积分10
16秒前
akakns发布了新的文献求助10
18秒前
纯真冰蝶完成签到 ,获得积分10
22秒前
26秒前
777发布了新的文献求助10
31秒前
ZB完成签到 ,获得积分10
37秒前
43秒前
超级巨星完成签到,获得积分10
46秒前
msn00完成签到 ,获得积分10
46秒前
墨绝发布了新的文献求助10
49秒前
上官若男应助xinyang采纳,获得10
54秒前
1分钟前
几一昂完成签到 ,获得积分10
1分钟前
李爱国应助7lanxiong采纳,获得10
1分钟前
1分钟前
横空发布了新的文献求助30
1分钟前
1分钟前
7lanxiong发布了新的文献求助10
1分钟前
1分钟前
7lanxiong完成签到,获得积分10
1分钟前
1分钟前
丘比特应助哈哈采纳,获得10
1分钟前
Einson完成签到 ,获得积分10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
悦耳冬萱完成签到 ,获得积分10
2分钟前
2分钟前
阿拉发布了新的文献求助10
2分钟前
2分钟前
xh完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
2分钟前
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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6020917
求助须知:如何正确求助?哪些是违规求助? 7624731
关于积分的说明 16165867
捐赠科研通 5168688
什么是DOI,文献DOI怎么找? 2766137
邀请新用户注册赠送积分活动 1748623
关于科研通互助平台的介绍 1636169