Low‐velocity impact damage and compression after impact behavior of CF/PEEK thermoplastic composite laminates

偷看 材料科学 复合材料 艾氏冲击强度试验 复合材料层合板 复合数 分层(地质) 扫描电子显微镜 数字图像相关 冲击能 热塑性塑料 压缩(物理) 极限抗拉强度 聚合物 古生物学 构造学 生物 俯冲
作者
Ankang Liu,Yunlong Chen,Jiqiang Hu,Bing Wang,Li Ma
出处
期刊:Polymer Composites [Wiley]
卷期号:43 (11): 8136-8151 被引量:35
标识
DOI:10.1002/pc.26983
摘要

Abstract Impact resistance and damage tolerance are of great significance in the design of composite structures. This study researched the damage and failure mechanism of carbon fiber reinforced poly‐ether‐ether‐ketone (CF/PEEK) composite laminates under the low‐velocity impact (LVI) and compression after impact (CAI) loading conditions. The test included four impact energy levels (15, 30, 45, and 60 J) and compared the effect of two different stacking sequences ([0°/90°] 8S and [0°/45°/90°/−45°] 4S ) on performance. The results shown that the peak impact force of the two different stacking sequences increased from 7.8 kN/8.3 kN–11.4 kN/13.7 kN, and the CAI strength decreased from 370.5 MPa/419.3 MPa to 212.8 MPa/232.5 MPa, respectively. Nondestructive testing of low‐velocity impact specimens by ultrasonic C‐Scan was employed to investigate structural damage. Digital image correlation (DIC) was employed to perform full‐field displacement measurements for the CAI experiment. The cross‐section of typical specimen was observed using a scanning electron microscope (SEM) to determine the failure mode of the specimen. In addition, a 3D damage model based on continuum damage mechanics was established, with the consideration of the interlaminar delamination damage and intralaminar damage. Compared with the experimental results, the errors of the numerical simulation of the peak impact force, impact energy absorption, and CAI strength are 3.8%–14.8%, 3.7%–6.9%, and 2.2%–6.7%, respectively, which verifies the validity and rationality of the model. Furthermore, the numerical model and interpolation function were used to predict the ultimate residual strength.
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
刚刚
学渣小林完成签到,获得积分20
刚刚
mayu完成签到,获得积分10
1秒前
1秒前
1秒前
诗棵完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
cheng发布了新的文献求助10
1秒前
陈医生发布了新的文献求助10
2秒前
2秒前
2秒前
ssss发布了新的文献求助20
2秒前
Akim应助Arden采纳,获得10
3秒前
魏京京完成签到,获得积分10
3秒前
桐桐应助1526918042采纳,获得10
3秒前
3秒前
豆豆完成签到,获得积分10
3秒前
4秒前
顾矜应助say采纳,获得10
4秒前
Yuuuan完成签到,获得积分10
4秒前
4秒前
彭于晏应助林夕采纳,获得10
4秒前
科研通AI6.1应助瓜i采纳,获得10
4秒前
4秒前
4秒前
Zhujinjin0120发布了新的文献求助20
5秒前
Sky完成签到,获得积分10
5秒前
5秒前
哈哈发布了新的文献求助10
5秒前
6秒前
6秒前
欣然发布了新的文献求助10
6秒前
tiptip应助INNE采纳,获得10
7秒前
yyy完成签到,获得积分10
7秒前
wxy完成签到 ,获得积分10
7秒前
8秒前
8秒前
詶my发布了新的文献求助10
8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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 2000
Digital Twins of Advanced Materials Processing 2000
Social Cognition: Understanding People and Events 1200
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 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6037812
求助须知:如何正确求助?哪些是违规求助? 7762507
关于积分的说明 16219356
捐赠科研通 5183810
什么是DOI,文献DOI怎么找? 2774106
邀请新用户注册赠送积分活动 1757205
关于科研通互助平台的介绍 1641590