Chatter Stability of Orthogonal Turn-Milling Process in Frequency and Discrete-Time Domains

理论(学习稳定性) 过程(计算) 离散时间和连续时间 转身(生物化学) 数学 控制理论(社会学) 计算机科学 物理 统计 人工智能 控制(管理) 核磁共振 机器学习 操作系统
作者
Kaveh Rahimzadeh Berenji,Faraz Tehranizadeh,Erhan Budak
出处
期刊:Journal of Manufacturing Science and Engineering-transactions of The Asme [ASM International]
卷期号:146 (9)
标识
DOI:10.1115/1.4065485
摘要

Abstract As the industry seeks better quality and efficiency, multitasking machine tools are becoming increasingly popular owing to their ability to create complex parts in one setup. Turn-milling, a type of multi-axis machining, combines milling and turning processes to remove material through simultaneous rotations of the cutter and workpiece with the translational feed of the tool. While turn-milling can be advantageous for large parts made of hard-to-cut materials, it also offers challenges in terms of surface form errors and process stability. Because tool eccentricity and workpiece rotation lead to more complexity in process mechanics and dynamics, traditional milling stability models cannot predict the stability of turn-milling processes. This study presents a mathematical model based on process mechanics and dynamics by incorporating the unique characteristics of the orthogonal turn-milling process to avoid self-excited chatter vibrations. A novel approach was employed to model time-varying delays considering the simultaneous rotation of the tool and workpiece. Stability analysis of the system was performed in both the discrete-time and frequency domains. The effects of eccentricity and workpiece speed on stability diagrams were demonstrated and validated through experiments. The results show that the tool eccentricity and workpiece speed alter the engagement geometry and delay in the regeneration mechanism, respectively, leading to significant stability diagram alterations. The proposed approach offers a comprehensive framework for the stability of orthogonal turn-milling and guidance for the selection of process conditions to achieve stable cuts with enhanced productivity.
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
myq完成签到,获得积分10
刚刚
1秒前
1秒前
dddd完成签到,获得积分10
1秒前
2秒前
应然忆完成签到 ,获得积分10
2秒前
3秒前
王勾勾完成签到,获得积分10
3秒前
开放笑卉完成签到,获得积分10
4秒前
4秒前
超帅连虎完成签到,获得积分10
4秒前
氕1发布了新的文献求助10
4秒前
迷路谷蓝完成签到,获得积分10
4秒前
小易同学完成签到,获得积分10
4秒前
zhuyan完成签到,获得积分10
5秒前
5秒前
浪费完成签到 ,获得积分10
6秒前
失重心跳完成签到,获得积分10
6秒前
7秒前
7秒前
天天发布了新的文献求助10
7秒前
李晓伟完成签到,获得积分10
7秒前
烨娴完成签到,获得积分10
7秒前
ttc完成签到,获得积分10
7秒前
8秒前
天天向上发布了新的文献求助10
9秒前
9秒前
彭于晏应助myq采纳,获得10
9秒前
慕青应助小心采纳,获得10
9秒前
zjy2023完成签到,获得积分10
10秒前
隐形的皮卡丘完成签到 ,获得积分10
10秒前
WFLLL完成签到,获得积分10
10秒前
席冥完成签到,获得积分10
10秒前
ZMH完成签到,获得积分10
10秒前
lngenuo完成签到,获得积分10
10秒前
小翼发布了新的文献求助10
11秒前
自己完成签到,获得积分20
11秒前
尺子尺子和池子完成签到,获得积分10
11秒前
12秒前
G_Serron发布了新的文献求助10
12秒前
高分求助中
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Technologies supporting mass customization of apparel: A pilot project 450
A Field Guide to the Amphibians and Reptiles of Madagascar - Frank Glaw and Miguel Vences - 3rd Edition 400
Brain and Heart The Triumphs and Struggles of a Pediatric Neurosurgeon 400
Cybersecurity Blueprint – Transitioning to Tech 400
Mixing the elements of mass customisation 400
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3785022
求助须知:如何正确求助?哪些是违规求助? 3330388
关于积分的说明 10245821
捐赠科研通 3045781
什么是DOI,文献DOI怎么找? 1671722
邀请新用户注册赠送积分活动 800709
科研通“疑难数据库(出版商)”最低求助积分说明 759621