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Study on Arithmetic of Surface Damage Ratio in High speed Machining of Graphite Based on Matlab Image Processing

机译:基于MATLAB图像处理的石墨高速加工算法算法研究

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The surface quality of graphite cannot be completely evaluated only by the roughness value Ra measured by profilometer. The surface damage ratio S_c is presented to give quantitative description of surface quality of graphite, which was calculated as the ratio of the projection area of fracture craters to the overall area of free surface. The machined surface was observed and taken photo by use of the stereo microscope with CCD image acquisition system. Matlab image processing tool was used to convert the color photo to binary image, in which fracture craters were shown as black pixels and the other surfaces as white pixels. The surface damage ratio is the result of the sum of black pixels divided by the overall pixels. Under the same conditions of high speed machining experiments for verification, the surface damage ratio was calculated in comparison with the Ra values measured by profilometer. The variation tendency of surface damage ratios exhibited good coherence to the measured roughness.
机译:石墨的表面质量不能完全通过Profilecometer测量的粗糙度值Ra完全评估。提出了表面损伤比S_c以提供石墨表面质量的定量描述,该石墨的表面质量描述为裂纹陨石坑的投影区域与自由表面的整体区域的比率。通过使用具有CCD图像采集系统的立体显微镜观察和拍摄加工表面。 MATLAB图像处理工具用于将彩色照片转换为二进制图像,其中裂缝陨石坑被显示为黑色像素,另一个表面作为白色像素。表面损伤比是由整体像素除以黑色像素的总和的结果。在高速加工实验的验证实验的相同条件下,与Profile仪测量的RA值相比计算表面损伤比。表面损伤比的变化趋势表现出对测量的粗糙度的良好相干性。

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