清晨好,您是今天最早来到科研通的研友!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,伴您科研之路漫漫前行!

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 BV]
卷期号:274: 109264-109264 被引量:37
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
jeff发布了新的文献求助10
8秒前
共享精神应助闪闪谷雪采纳,获得10
11秒前
SAY完成签到 ,获得积分10
22秒前
王贤平完成签到,获得积分10
32秒前
年轻静蕾完成签到,获得积分10
51秒前
天天快乐应助科研通管家采纳,获得10
1分钟前
囧神完成签到,获得积分10
1分钟前
干净的中心完成签到,获得积分10
1分钟前
科研通AI6.4应助betsydouglas14采纳,获得10
1分钟前
南猫喵完成签到,获得积分10
1分钟前
踏实一德完成签到,获得积分10
1分钟前
2分钟前
踏实雪卉完成签到,获得积分10
2分钟前
Wang完成签到 ,获得积分20
2分钟前
Pami发布了新的文献求助10
2分钟前
传奇3应助Pami采纳,获得10
2分钟前
2分钟前
2分钟前
jackone发布了新的文献求助30
2分钟前
2分钟前
jackone完成签到,获得积分10
2分钟前
2分钟前
betsydouglas14完成签到,获得积分10
2分钟前
丰富的从雪完成签到,获得积分10
3分钟前
欢呼亦绿完成签到,获得积分10
3分钟前
Pami发布了新的文献求助10
3分钟前
3分钟前
谢大喵应助shadow焓采纳,获得40
3分钟前
淡然的凡之完成签到,获得积分10
4分钟前
英俊的铭应助阿若采纳,获得30
4分钟前
整齐诺言完成签到,获得积分10
5分钟前
无限的寡妇完成签到,获得积分10
5分钟前
悦耳向松完成签到,获得积分10
5分钟前
Andy完成签到,获得积分10
5分钟前
johnsonj发布了新的文献求助10
6分钟前
6分钟前
阿若发布了新的文献求助30
6分钟前
淡然的眼神完成签到,获得积分10
6分钟前
美满的幻竹完成签到,获得积分10
6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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7765851
求助须知:如何正确求助?哪些是违规求助? 9309879
关于积分的说明 20312881
捐赠科研通 7350561
什么是DOI,文献DOI怎么找? 3314988
关于科研通互助平台的介绍 2464416
邀请新用户注册赠送积分活动 2329476