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Influence of eccentricity on roughness distributions in side milling

机译:偏心对侧铣粗糙度分布的影响

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摘要

In this paper, a numerical model was used based on the tool-piece geometric intersection, which enables the determination of a roughness profile as a function of feed, tool radii and tool eccentricity in side milling processes. Average roughness R-a and peak-to-valley roughness R-t were obtained for a group or family of tools, defined by an average radius value and a standard deviation value of all tool radii. The Monte Carlo method was used to generate N random combinations of radius values for each family, according to a normal distribution. The model was validated by means of experimental tests. For each family of tools, roughness distributions were obtained at different feed values and for different eccentricity values. It was found that the higher eccentricity, the more asymmetrical roughness distributions become.
机译:在本文中,使用了基于刀具-零件几何相交的数值模型,该模型能够确定粗糙度轮廓与进给,刀具半径和侧偏加工中的刀具偏心率的关系。获得了一组或一组工具的平均粗糙度R-a和峰谷粗糙度R-t,由所有工具半径的平均半径值和标准偏差值定义。根据正态分布,使用蒙特卡洛方法为每个族生成N个半径值的随机组合。通过实验测试验证了该模型。对于每个工具系列,都在不同的进给值和不同的偏心率值下获得了粗糙度分布。发现偏心率越高,粗糙度分布越不对称。

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