REVIEW OF MODELING AND SIMULATION OF VOID FORMATION IN LIQUID COMPOSITE MOLDING

空隙(复合材料) 复合数 材料科学 转移模塑 汽车工业 复合材料 造型(装饰) 毛细管作用 互连性 压缩成型 压实 机械 机械工程 工程类 计算机科学 模具 人工智能 航空航天工程 物理
作者
Aouatif Saad,Adil Echchelh,Mohamed Hattabi,Mohammed El Ganaoui
出处
期刊:Composites: mechanics, computations, applications [Begell House]
卷期号:9 (1): 51-93 被引量:5
标识
DOI:10.1615/compmechcomputapplintj.v9.i1.50
摘要

Liquid composite molding (LCM) processes are being used in manufacturing near-net-shape, geometrically complex composite parts. One of the current obstacles to a larger scale application of these processes is the formation of defects such as voids during resin injection. To reach aeronautic requirements or short injection cycles in the automotive industry, entrapped air in the final part before curing has to remain as low as possible. Air entrapment will depend on the fibrous structure and on the injection parameters, or more precisely on the fluid pressure and the flow front orientation with respect to the fibrous direction. A key parameter for production of structural composite parts is air entrapment, since high void content could lead to mechanical softening, early failure, or part rejection. The quantitative simulation of the void formation is important for proper design and selection of material and processing parameters to minimize such voids in the composite materials. Despite several advancements in voidage predictions via modeling and simulations, the void formation mechanisms in RTM and similar processes are still not fully understood. In this study, a review of current approaches to modeling and simulation of void formation and unsaturated flow in the liquid composite molding process is presented. We examine modeling efforts considering all the mechanisms involved such as void formation and transport, bubble compression, and gas dissolution. In particular, the capillary number is identified as a key parameter for void formation and transport. The influence of voids on the global resin flow is also investigated and a state-of-the-art is presented.
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
陈倩完成签到,获得积分10
刚刚
宇文鹏煊完成签到 ,获得积分10
1秒前
袁大队长发布了新的文献求助10
2秒前
钦泽关注了科研通微信公众号
2秒前
fangliu发布了新的文献求助10
3秒前
3秒前
dde应助Qiana采纳,获得10
3秒前
mn发布了新的文献求助10
4秒前
Yz完成签到,获得积分10
4秒前
4秒前
fyj发布了新的文献求助30
4秒前
生动新蕾完成签到,获得积分10
5秒前
5秒前
jinxli完成签到 ,获得积分10
7秒前
zhang完成签到,获得积分10
7秒前
8秒前
科目三应助阔达的秀发采纳,获得10
8秒前
帅哥平发布了新的文献求助10
8秒前
zyf发布了新的文献求助10
8秒前
沈括完成签到,获得积分10
9秒前
9秒前
10秒前
Wendy完成签到,获得积分10
10秒前
斯文败类应助天鹅有罪采纳,获得10
10秒前
闪闪的忆枫应助袁大队长采纳,获得10
10秒前
史呆芬齐发布了新的文献求助10
11秒前
czy发布了新的文献求助10
11秒前
12秒前
lico发布了新的文献求助20
12秒前
半点心发布了新的文献求助10
14秒前
林少玮完成签到,获得积分10
14秒前
Yusheng完成签到,获得积分10
14秒前
星星完成签到,获得积分10
15秒前
初景应助陈倩采纳,获得20
15秒前
啊巴拉发布了新的文献求助10
16秒前
16秒前
16秒前
yyy完成签到 ,获得积分10
16秒前
十六发布了新的文献求助10
17秒前
17秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 300
Upland Kenya wild flowers and ferns: a flora of the flowers, ferns, grasses, and sedges of highland Kenya 300
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 6668476
求助须知:如何正确求助?哪些是违规求助? 8417468
关于积分的说明 17993978
捐赠科研通 5876812
什么是DOI,文献DOI怎么找? 2976863
邀请新用户注册赠送积分活动 1952752
关于科研通互助平台的介绍 1880892