Machining sound analysis for the effects of fiber bending on cutting mechanisms during carbon fiber reinforced plastic composite milling

材料科学 机械加工 复合材料 纤维增强塑料 弯曲 纤维 弯曲分子几何 前角 碎屑形成 刀具磨损 冶金
作者
Kyeongeun Song,Gyuho Kim,Huitaek Yun,Byung-Kwon Min,Martin Byung‐Guk Jun
出处
期刊:Composites Part B-engineering [Elsevier BV]
卷期号:241: 110019-110019 被引量:11
标识
DOI:10.1016/j.compositesb.2022.110019
摘要

Fiber bending during carbon fiber reinforced plastic (CFRP) milling is an important factor on the machined surface quality. During milling, the fiber first contacts the rake face instead of the tool edge at a certain cutting angle, and then the fiber is bent instead of being cut by the tool, causing the matrix and the fiber to fall out. The fiber is then broken from inside the machined surface and subsequently pulled out as the tool rotates, which are known as pull-out fibers. The machining defect is the main cause of deteriorating the surface quality. To reduce such machining defects, it is important to predict the fiber bending during CFRP milling. However, it is difficult to determine where fiber bending occurs because the fiber cutting angle changes every moment as the tool rotates. This study analyzed the fiber cutting mechanism considering bent fibers during CFRP milling and proposed a method to identify the type of machining mechanism through machining sound analysis. Moreover, CFRP milling simulation was performed to numerically analyze the machining parameters such as fiber cutting angle, fiber length, and the magnitude of fiber bending at different milling conditions. Through experiments, it was verified that fiber bending or defects can be identified through sound analysis of machining in the high-frequency range between 7500 and 14,800 Hz. The effect of chip thickness in up-milling and down-milling on fiber bending was investigated by analyzing simulation and sound signal, and their effects on cutting force and machining quality was experimentally verified.
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
2秒前
2秒前
卫卫完成签到 ,获得积分10
3秒前
3秒前
3秒前
4秒前
4秒前
酷波er应助好好睡觉采纳,获得10
5秒前
Akim应助siny采纳,获得10
5秒前
fanfan完成签到,获得积分10
6秒前
糖葫芦ix发布了新的文献求助10
6秒前
6秒前
科研通AI6.3应助优美寒荷采纳,获得10
7秒前
yjh123应助ulung采纳,获得110
7秒前
7秒前
奔跑应助包容柏柳采纳,获得10
8秒前
8秒前
8秒前
9秒前
9秒前
Owen应助dd99081采纳,获得10
9秒前
烂漫世德完成签到 ,获得积分10
10秒前
10秒前
Nicole完成签到,获得积分20
10秒前
10秒前
11秒前
11秒前
molihuakai应助666888采纳,获得10
11秒前
HHHHH发布了新的文献求助10
12秒前
FashionBoy应助爱听歌的谷秋采纳,获得10
12秒前
12秒前
13秒前
烟花应助li采纳,获得10
13秒前
14秒前
14秒前
cyx发布了新的文献求助10
14秒前
15秒前
15秒前
15秒前
小鸟发布了新的文献求助10
15秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Health and Wellbeing for Babies and Children 800
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7545852
求助须知:如何正确求助?哪些是违规求助? 9129358
关于积分的说明 19504101
捐赠科研通 7140306
什么是DOI,文献DOI怎么找? 3258976
关于科研通互助平台的介绍 2426277
邀请新用户注册赠送积分活动 2247383