Mechanical drilling force model for longitudinal ultrasonic vibration-assisted drilling of unidirectional CFRP

钻探 推力 机械加工 扭矩 深孔钻探 材料科学 测功机 振动 GSM演进的增强数据速率 结构工程 演习 机械工程 工程类 声学 电信 热力学 物理
作者
Yuanxiao Li,Feng Jiao,Ziqiang Zhang,Xue Wang,Ying Niu
出处
期刊:Journal of Materials Processing Technology [Elsevier]
卷期号:319: 118091-118091 被引量:13
标识
DOI:10.1016/j.jmatprotec.2023.118091
摘要

Carbon fiber reinforced polymer (CFRP) drilling operation is a very important machining process in the aerospace industries. Ultrasonic vibration-assisted drilling (UVAD) has achieved some positive effects in CFRP drilling. Because of the strong correlation between the drilling force and the hole quality, it is important to predict drilling force to optimize drilling parameters for improving the machining quality and efficiency. However, the prediction of drilling force for CFRP in UVAD is still a problem. In this paper, a mechanical drilling force model for unidirectional CFRP (UD-CFRP) in longitudinal ultrasonic vibration-assisted drilling (LUVAD) is established. In particular, the cutting lip of drill is divided into several discrete elements with different dynamic cutting characteristics. The cutting forces of different discrete elements, including the indentation force, the cutting force and the ploughing force of the cutting edge, were calculated by considering the dynamic change of fiber orientation during drilling. Then they are transformed into the thrust force and torque of the drilling process. Finally, the validity of the maximum, minimum and mean of the drilling force predicted by the model is verified through LUVAD experiments of UD-CFRP. The prediction errors of maximum thrust, minimum thrust and mean thrust can reach 14.09%, 15.72% and 8.81% respectively, and the prediction errors of maximum torque, minimum torque and mean torque are 16.20%, 18.61% and 14.96% respectively, demonstrating the validity of the model for LUVAD of UD-CFRP. In addition, the hole surface morphology of UD-CFRP under different processing conditions was compared.

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
2秒前
May完成签到,获得积分10
3秒前
狂野的乘风完成签到,获得积分10
3秒前
英姑应助人类高血压女性采纳,获得10
3秒前
3秒前
Isabelle完成签到 ,获得积分10
4秒前
4秒前
一二完成签到,获得积分10
4秒前
阔达平凡完成签到,获得积分10
4秒前
慕青应助Qinghen采纳,获得10
4秒前
木由子完成签到 ,获得积分10
4秒前
黄任行完成签到,获得积分10
4秒前
5秒前
ksq完成签到,获得积分10
5秒前
6秒前
6秒前
笛卡尔发布了新的文献求助10
6秒前
7秒前
量子星尘发布了新的文献求助10
7秒前
举人烧烤发布了新的文献求助10
7秒前
7秒前
remimazolam完成签到,获得积分10
7秒前
zzyy完成签到,获得积分10
8秒前
8秒前
Lucas应助TingtingGZ采纳,获得10
9秒前
悟空发布了新的文献求助30
10秒前
10秒前
10秒前
端庄凌文发布了新的文献求助10
11秒前
Hello应助鲤鱼金针菇采纳,获得10
11秒前
guoguo发布了新的文献求助10
11秒前
小红要发文章哦完成签到,获得积分10
11秒前
付冀川完成签到,获得积分10
12秒前
renjian完成签到,获得积分10
13秒前
回复对方完成签到,获得积分10
14秒前
邓佳鑫Alan应助科研小白菜采纳,获得10
15秒前
举人烧烤发布了新的文献求助10
15秒前
16秒前
17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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5666454
求助须知:如何正确求助?哪些是违规求助? 4882107
关于积分的说明 15117498
捐赠科研通 4825502
什么是DOI,文献DOI怎么找? 2583441
邀请新用户注册赠送积分活动 1537599
关于科研通互助平台的介绍 1495756