一种基于轮廓误差的NC数据补偿方法

张云, 梁光顺, 张赟, 李燕

清华大学学报(自然科学版) ›› 2022, Vol. 62 ›› Issue (12) : 1989-1995.

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清华大学学报(自然科学版) ›› 2022, Vol. 62 ›› Issue (12) : 1989-1995. DOI: 10.16511/j.cnki.qhdxxb.2022.26.029
机械工程

一种基于轮廓误差的NC数据补偿方法

  • 张云1, 梁光顺1, 张赟2, 李燕2
作者信息 +

A compensation method of NC data based on contour error

  • ZHANG Yun1, LIANG Guangshun1, ZHANG Yun2, LI Yan2
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文章历史 +

摘要

误差补偿是提升数控机床加工精度的重要手段。该文利用三坐标测量机, 测量精加工后六边形凹槽表面上部分点的三坐标, 并根据理想模型计算轮廓误差。以镜像反变形的思路, 对刀位点连线中点处的轮廓误差进行补偿, 得到新的NC数据。在一个立式加工中心上进行对照实验, 结果表明:误差补偿后, 零件的轮廓误差绝对值最大值降低了48.1%, 加工精度得到明显改善。基于轮廓误差的NC数据补偿方法, 对以直线加工路径构成的零件有很强的适用性。以刀位点连线中点为补偿对象有利于误差测量和程序设计。

Abstract

Error compensation is an important means to improve the machining accuracy of NC machine tools. In this study, a three-coordinate measuring machine is used to measure the x, y, and z coordinates of points on the surface of a hexagonal groove after machining, and the contour error is calculated according to the ideal model. Next, based on mirror anti-deformation, the contour error at the midpoint of the tool point connection is compensated to obtain new NC data. The results indicate that after error compensation, the maximum absolute value of contour error of parts is reduced by 48.1%, and the machining accuracy is considerably improved. The compensation method of NC data based on contour error has strong applicability to parts composed of linear machining paths. Considering the midpoint of the tool point connection as the compensation object is conducive to error measurement and program design.

关键词

六边形凹槽 / 轮廓误差补偿 / 镜像反变形 / 刀位点连线中点 / NC数据

Key words

hexagonal groove / contour error compensation / mirror anti-deformation / midpoint of tool point connection / NC data

引用本文

导出引用
张云, 梁光顺, 张赟, 李燕. 一种基于轮廓误差的NC数据补偿方法[J]. 清华大学学报(自然科学版). 2022, 62(12): 1989-1995 https://doi.org/10.16511/j.cnki.qhdxxb.2022.26.029
ZHANG Yun, LIANG Guangshun, ZHANG Yun, LI Yan. A compensation method of NC data based on contour error[J]. Journal of Tsinghua University(Science and Technology). 2022, 62(12): 1989-1995 https://doi.org/10.16511/j.cnki.qhdxxb.2022.26.029

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