Novel tool wear monitoring method in ultra-precision raster milling using cutting chips

Novel tool wear monitoring method in ultra-precision raster milling using cutting chips
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切屑超精密光栅铣削刀具磨损监测新方法

DOI:
10.1016/j.precisioneng.2014.02.004
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发表时间:
2014-07
期刊:
Precision Engineering
影响因子:
--
通讯作者:
Gaobo Xiao
Gaobo Xiao
中科院分区:
其他
文献类型:
--
作者:
Guoqing Zhang;Suet To;Gaobo Xiao

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刀具磨损监测是超精密加工领域的一个热门研究课题。然而,利用切屑对超精密光栅铣削(UPRM)中刀具磨损进行监测的研究尚未见。在本研究中,首次采用切削切屑对刀具磨损进行了监测。在切削过程中,金刚石刀具的断裂磨损直接以一组“脊”的形式印在切削切屑表面。通过三维扫描电镜对这些脊的位置、横截面形状的检测,建立了断裂磨损下金刚石刀具的虚拟切削刃。采用半圆弧和等腰三角形两种几何元素来近似脊的横截面形状,建立了预测虚拟切削刃的数学模型。由于刀具刃口轮廓的理论预测与实测值吻合,因此所提出的刀具磨损监测方法是有效的。
Tool wear monitoring is a popular research topic in the field of ultra-precision machining. However, there appears to have been no research on the monitoring of tool wear in ultra-precision raster milling (UPRM) by using cutting chips. In the present research, monitoring tool wear was firstly conducted in UPRM by using cutting chips. During the cutting process, the fracture wear of the diamond tool is directly imprinted on the cutting chip surface as a group of ‘ridges’. Through inspection of the locations, cross-sectional shape of these ridges by a 3D scanning electron microscope, the virtual cutting edge of the diamond tool under fracture wear is built up. A mathematical model was established to predict the virtual cutting edge with two geometric elements: semi-circle and isosceles triangle used to approximate the cross-sectional shape of ridges. Since the theoretical prediction of cutting edge profile concurs with the inspected one, the proposed tool wear monitoring method is found to be effective.
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