Deflection prediction of micro-milling Inconel 718 thin-walled parts

因科镍合金 偏转(物理) 机械加工 材料科学 铣刀 机械工程 航空航天 结构工程 冶金 工程类 光学 物理 合金 航空航天工程
作者
Zhenyuan Jia,Xiaohong Lü,Hanqing Gu,Feixiang Ruan,Steven Y. Liang
出处
期刊:Journal of Materials Processing Technology [Elsevier BV]
卷期号:291: 117003-117003 被引量:54
标识
DOI:10.1016/j.jmatprotec.2020.117003
摘要

There has been a great increase in the applications of micro thin-walled parts in many fields, such as medical devices, aerospace and so on. The requirement of machining dimensional accuracy for micro thin-walled parts is very high. Inconel 718has the advantages of high strength and corrosion resistance, which can meet the requirements of micro thin-walled parts under poor applying working conditions. However, it is difficult to machine. Micro-milling is a potentially effective processing technique for processing Inconel 718 thin-walled parts. Because of the low rigidity, deflection of Inconel 718 thin-walled parts is easy to occur in micro-milling process, which affects the machining accuracy. So far, the research on the deflection of micro-milling Inconel 718 thin-walled parts is still blank. In this paper, a method of deflection prediction of micro-milling thin-walled parts is proposed. Firstly, a simulation model of micro-milling Inconel 718 thin-walled parts process is established, which realizes the prediction of milling force. Then, by using element birth/death technique, a deflection prediction model of micro-milling thin-walled parts is built based on the predicted value of milling force output by the simulation model, which achieves the more efficient and accurate deflection prediction of micro-milling thin-walled parts. Finally, the correctness of the built simulation model of micro-milling thin-walled parts process as well as the deflection prediction model of micro-milling thin-walled parts are verified by experiments. The research provides a feasible way for deflection prediction of micro-milling thin-walled parts, and lays foundation for deflection suppression and machining accuracy improvement of micro-milling thin-walled parts to a certain extent.

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
大力哈密瓜完成签到,获得积分10
刚刚
Chan完成签到,获得积分10
1秒前
坚强的安柏完成签到,获得积分10
2秒前
懒惰的饼干完成签到 ,获得积分10
3秒前
wingshuang完成签到,获得积分10
3秒前
吕君完成签到,获得积分10
4秒前
搬砖的索尔完成签到,获得积分10
4秒前
平淡1997亮眼小虫虫完成签到 ,获得积分10
4秒前
宁阿霜完成签到,获得积分10
4秒前
小朱同学完成签到,获得积分10
5秒前
1723完成签到,获得积分10
5秒前
fd163c完成签到,获得积分10
9秒前
英俊雅柏完成签到,获得积分10
9秒前
yh完成签到,获得积分10
10秒前
xh发布了新的文献求助10
10秒前
QP34完成签到,获得积分10
10秒前
11秒前
小鹿呀完成签到,获得积分10
11秒前
YY完成签到,获得积分10
12秒前
调皮友安完成签到 ,获得积分10
13秒前
海岸线完成签到,获得积分10
13秒前
小公牛完成签到 ,获得积分10
14秒前
wentao完成签到,获得积分10
15秒前
无花果应助嘉2026采纳,获得10
15秒前
柚C美式完成签到 ,获得积分10
16秒前
Miya完成签到,获得积分10
17秒前
mmm完成签到,获得积分10
18秒前
星辰大海应助liu采纳,获得10
18秒前
aurevoir完成签到,获得积分10
19秒前
Yh完成签到,获得积分10
19秒前
勤恳的茗茗完成签到,获得积分10
20秒前
一盒火柴完成签到,获得积分10
21秒前
Blaseaka完成签到 ,获得积分0
21秒前
23秒前
李媛媛完成签到,获得积分10
24秒前
傲娇的天真完成签到,获得积分10
25秒前
menghongmei完成签到 ,获得积分10
26秒前
lyyu完成签到 ,获得积分10
26秒前
27秒前
怡然冷安完成签到,获得积分10
27秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6474043
求助须知:如何正确求助?哪些是违规求助? 8276949
关于积分的说明 17647516
捐赠科研通 5554561
什么是DOI,文献DOI怎么找? 2909870
邀请新用户注册赠送积分活动 1886625
关于科研通互助平台的介绍 1739115