This paper researches on the tool wear condition monitoring by cutting sound signal and workpiece surface texture based on analysis of the relative situation.

本论文在分析现状的基础上，从切削声信号和工件表面纹理这两个方面对刀具磨损状态监测技术进行了研究。

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Using the experimental data, feature parameters of workpiece surface texture images were extracted. Relative distance was presented to evaluate the wear degree of cutting tools.

在实验数据的基础上，对工件表面纹理图像的特征参数进行提取，提出采用相对距离作为刀具磨损程度的评价指标。

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Then it's time to add wear to the surface. This should mainly be kept along edges but also within large surface areas like the middle of the texture using a broad brush.

现在是给表面加罩的时候了，这需要沿着边也要很大的表面就象中间的材质一样用一个大的刷子来进行。

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