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
1秒前
shenkaichang完成签到,获得积分10
1秒前
守护星发布了新的文献求助10
1秒前
darmy发布了新的文献求助10
2秒前
qinxie完成签到 ,获得积分10
3秒前
打打应助mxy126354采纳,获得10
3秒前
黄元辉发布了新的文献求助10
3秒前
3秒前
3秒前
可靠问旋发布了新的文献求助10
3秒前
3秒前
强健的道消完成签到,获得积分10
4秒前
4秒前
左丘芷卉发布了新的文献求助10
4秒前
7秒前
机智笑南完成签到,获得积分10
7秒前
7秒前
7秒前
桐桐应助回家睡觉采纳,获得10
7秒前
在水一方应助高贵凡灵采纳,获得10
8秒前
隐形曼青应助鲍师傅采纳,获得10
8秒前
华仔应助GOD伟采纳,获得10
8秒前
8秒前
8秒前
11发布了新的文献求助10
9秒前
科研通AI6.4应助松松松采纳,获得20
9秒前
xmubnb发布了新的文献求助10
9秒前
10秒前
圣晟胜发布了新的文献求助10
10秒前
努力科研的博士僧完成签到,获得积分10
10秒前
hzy发布了新的文献求助10
10秒前
11秒前
稳重盼夏完成签到,获得积分10
11秒前
结实的飞薇完成签到,获得积分10
12秒前
12秒前
12秒前
eri发布了新的文献求助50
12秒前
13秒前
14秒前
Zhao_Kai完成签到,获得积分10
14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
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 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 6479131
求助须知:如何正确求助?哪些是违规求助? 8280484
关于积分的说明 17661154
捐赠科研通 5561688
什么是DOI,文献DOI怎么找? 2911389
邀请新用户注册赠送积分活动 1888380
关于科研通互助平台的介绍 1742388