Investigation of the tool flank wear influence on cutter-workpiece engagement and cutting force in micro milling processes

侧面 GSM演进的增强数据速率 刀具磨损 机械加工 机械工程 过程(计算) 半径 端铣 工程类 铣刀 刀具 工程制图 结构工程 计算机科学 电信 计算机安全 社会学 人类学 操作系统
作者
Shuaishuai Gao,Xianyin Duan,Kunpeng Zhu,Yu Zhang
出处
期刊:Mechanical Systems and Signal Processing [Elsevier]
卷期号:209: 111104-111104
标识
DOI:10.1016/j.ymssp.2024.111104
摘要

Cutting force modeling is essential for comprehending the dynamic mechanics of the micro-milling process. Accurate calculation of the cutter-workpiece engagement is crucial for predicting cutting force accurately. This study proposes an accurate analytical model of cutter-workpiece engagement that comprehensively incorporates tool flank wear, tool edge radius, and tool runout for predicting cutting forces in the micro-milling process. Based on the actual tool radius model, which takes into account tool flank wear and tool edge radius, a fast real-time online method for accurately calculating the entry and exit angles is presented. This method involves the trochoidal trajectories of the current cutting edge and all passing cutting edges from the previous cycle under the influence of tool runout. Then the cutter-workpiece engagement is determined. Based on this, the cutting force is predicted combined with instantaneous uncut chip thickness and cutting force coefficients considering tool flank wear and tool runout. Through micro-end milling experiments, the validity of the cutting force model is confirmed. The statistical analysis of the predicted cutting forces further demonstrates the effectiveness of accounting for the impact of tool flank wear on the cutting forces throughout the entire micro-milling process. Through case analysis, it is concluded that tool flank wear leads to increased cutter-workpiece engagement and significantly affects the cutting forces in three directions. This work could offer a theoretical foundation and practical guidance for predicting tool life and controlling surface quality during the machining process.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
superhanlei发布了新的文献求助10
刚刚
1271470003发布了新的文献求助10
2秒前
SciGPT应助或习采纳,获得10
2秒前
lqt发布了新的文献求助20
2秒前
wmuer完成签到 ,获得积分10
3秒前
victory_liu发布了新的文献求助10
3秒前
4秒前
科研通AI2S应助ls1260798887采纳,获得10
6秒前
毛茉茉关注了科研通微信公众号
7秒前
吧啦吧啦发布了新的文献求助10
8秒前
8秒前
栀寒完成签到,获得积分20
8秒前
9秒前
9秒前
阿姨的科研生活完成签到 ,获得积分10
11秒前
1271470003完成签到,获得积分10
11秒前
搜集达人应助瀚海子采纳,获得10
12秒前
14秒前
15秒前
叶白山发布了新的文献求助10
15秒前
怦然心动发布了新的文献求助20
16秒前
共享精神应助吧啦吧啦采纳,获得10
17秒前
17秒前
18秒前
YOUNG发布了新的文献求助200
19秒前
TANG完成签到 ,获得积分10
19秒前
浮生若梦完成签到,获得积分10
19秒前
20秒前
21秒前
Yuxin发布了新的文献求助10
23秒前
24秒前
hana9317完成签到,获得积分10
24秒前
26秒前
26秒前
wangjingli666应助GQ采纳,获得10
27秒前
丘比特应助nini采纳,获得10
27秒前
28秒前
瀚海子发布了新的文献求助10
28秒前
29秒前
31秒前
高分求助中
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Teaching Social and Emotional Learning in Physical Education 900
The three stars each : the Astrolabes and related texts 550
Boris Pesce - Gli impiegati della Fiat dal 1955 al 1999 un percorso nella memoria 500
Chinese-English Translation Lexicon Version 3.0 500
Recherches Ethnographiques sue les Yao dans la Chine du Sud 500
[Lambert-Eaton syndrome without calcium channel autoantibodies] 460
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2399778
求助须知:如何正确求助?哪些是违规求助? 2100510
关于积分的说明 5295514
捐赠科研通 1828213
什么是DOI,文献DOI怎么找? 911229
版权声明 560142
科研通“疑难数据库(出版商)”最低求助积分说明 487075