Effect of plastic side flow on surface roughness in micro-turning process

表面粗糙度 表面光洁度 流量(数学) 材料科学 过程(计算) 机械工程 工程制图 机械 工程类 计算机科学 复合材料 物理 操作系统
作者
Kai Liu,Shreyes N. Melkote
出处
期刊:International Journal of Machine Tools & Manufacture [Elsevier BV]
卷期号:46 (14): 1778-1785 被引量:165
标识
DOI:10.1016/j.ijmachtools.2005.11.014
摘要

Abstract Kinematic roughness-based surface finish prediction is known to often under-predict the measured surface roughness in turning process, especially at small (micron level) feed rates. It has also been observed that the surface roughness in micro-turning decreases with feed, reaches a minimum, and then increases with further reduction in feed. This paper presents a model for predicting the surface roughness in micro-turning of Al5083-H116 alloy that takes into account the effects of plastic side flow, tool geometry, and process parameters. The model combines these effects with more accurate estimation of the average flow stress of Al5083-H116 at micron scale of deformation with the help of a previously reported strain gradient-based finite element model. The surface roughness model is evaluated through a series of micro-turning experiments. The results show that the model can predict the surface roughness in micro-turning quite well. It is shown that the commonly observed discrepancy between the theoretical and measured surface roughness in micro-turning is mainly due to surface roughening caused by plastic side flow. Further, it is shown that the increase in roughness at low feed can be attributed to the increased side flow caused by strain gradient-induced strengthening of the material directly ahead of the tool.

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
xmf完成签到,获得积分10
刚刚
榴莲发布了新的文献求助10
刚刚
赘婿应助阿甘采纳,获得10
刚刚
百里烬言完成签到,获得积分10
刚刚
刚刚
刚刚
旺仔发布了新的文献求助100
1秒前
1秒前
1秒前
bkagyin应助echo采纳,获得30
1秒前
是秋天完成签到,获得积分10
1秒前
lanzhihe322完成签到,获得积分10
2秒前
初景应助独特的飞莲采纳,获得20
2秒前
哈哈完成签到,获得积分10
2秒前
AY完成签到 ,获得积分10
2秒前
2秒前
2秒前
蓝天黄土完成签到,获得积分10
3秒前
123123完成签到,获得积分10
3秒前
¥#¥-11完成签到,获得积分10
3秒前
活泼忆丹发布了新的文献求助10
3秒前
3秒前
CipherSage应助YYM采纳,获得10
3秒前
百里烬言发布了新的文献求助10
3秒前
这个人不带手机完成签到 ,获得积分10
4秒前
4秒前
broo完成签到,获得积分10
4秒前
核桃发布了新的文献求助10
4秒前
nlyk完成签到,获得积分10
4秒前
5秒前
5秒前
于佳完成签到,获得积分10
5秒前
动人的乾发布了新的文献求助10
5秒前
lanzhihe322发布了新的文献求助10
5秒前
顺问冬安完成签到,获得积分10
6秒前
xiaoxiao31996发布了新的文献求助30
6秒前
nn_mmmoonnn发布了新的文献求助30
6秒前
执念发布了新的文献求助10
6秒前
6秒前
藏锋完成签到,获得积分10
6秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 300
Upland Kenya wild flowers and ferns: a flora of the flowers, ferns, grasses, and sedges of highland Kenya 300
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 6666219
求助须知:如何正确求助?哪些是违规求助? 8415702
关于积分的说明 17989928
捐赠科研通 5872688
什么是DOI,文献DOI怎么找? 2976080
邀请新用户注册赠送积分活动 1951895
关于科研通互助平台的介绍 1879100