An in-process tool wear evaluation approach for ultra-precision fly cutting
An in-process tool wear evaluation approach for ultra-precision fly cutting
复制标题
一种超精密飞切加工过程中刀具磨损评估方法
DOI：
10.1007/s00170-015-8132-9
复制
发表时间：
2016-09
影响因子：
3.4
通讯作者：
To Suet
中科院分区：
文献类型：
--
作者：
Zhang Guoqing;To Suet
超精密飞切（UPFC）是一种间歇式切削工艺，广泛应用于亚微米级形状精度和纳米级表面粗糙度的非旋转对称微结构的加工。在UPFC中，刀具磨损的发生必然会影响加工微结构的精度。针对刀具磨损与切屑形态之间的密切关系以及切屑在一个切削循环中形成的事实，提出了一种基于切屑的刀具磨损评价方法。识别出与刀具失效模式相关的切屑形态特征，并对其进行参数化处理，以预测刀具失效模式、表面形貌和刀具失效模式影响下的表面粗糙度。预测，然后验证了实验结果。研究结果表明，利用切屑形貌特征可以有效地表征刀具失效模式，通过设计合理的识别程序，可以准确地识别刀具失效模式。这种方法是实用的，因为它可以在过程中识别工具故障模式及其对表面质量的影响。
Ultra-precision fly cutting (UPFC) is an intermittent cutting process, which is widely used in the fabrication of non-rotational symmetric micro structures with sub-micron form accuracy and nanometric surface roughness. In UPFC, the occurrence of tool wear certainly affects the accuracy of machined micro structures. Aimed at the close relations between tool wear and chip morphologies and the truth that cutting chips are fully formed in a cutting cycle, this research developed a tool wear evaluation approach based on cutting chips. Chip morphology features related to tool failure patterns were identified and then parameterized to predict the tool failure patterns, the surface topography, and surface roughness under the effects of tool failure patterns. Predictions were then verified by experimental results. Research results show that chip morphologies were successfully used to present tool failure pattern, following the well-designed identification procedures, the tool failure patterns are accurately identified. This approach is practical since it can in-process identify tool failure patterns and their effects on surface quality.
登录
查看更多内容
超精密光栅铣削中切屑形貌与刀具磨损的关系
DOI：
10.1016/j.ijmachtools.2014.02.005
发表时间：
2014-05
影响因子：
14
作者：
Guoqing Zhang;Suet To;Gaobo Xiao
通讯作者：
Gaobo Xiao
DOI：
10.1016/s0890-6955(02)00266-3
发表时间：
2003-04
影响因子：
14
作者：
M. Sortino
通讯作者：
M. Sortino
影响因子：
4.1
作者：
Teti, R.;Jemielniak, K.;Dornfeld, D.
通讯作者：
Dornfeld, D.
DOI：
10.1016/j.ijmachtools.2008.02.006
发表时间：
2008-08
影响因子：
14
作者：
M. N. Cheng;C. Cheung;W. Lee;S. To;L. Kong
通讯作者：
M. N. Cheng;C. Cheung;W. Lee;S. To;L. Kong
DOI：
10.1007/s00170-008-1861-2
发表时间：
2009-10
期刊：
The International Journal of Advanced Manufacturing Technology
影响因子：
--
作者：
Z. Q. Yin;S. To;W. Lee
通讯作者：
Z. Q. Yin;S. To;W. Lee