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Simultaneous Identification for Geometric Error of Dual Rotary Axes in Five-Axis Machine Tools

Measurement: Journal of the International Measurement Confederation(2023)

Tianjin Univ | Tianjin Univ Sci & Technol

Cited 10|Views16
Abstract
For the rotary axes, the position-dependent geometric errors (PDGEs) and position-independent geometric errors (PIGEs) affect their rotational accuracy concurrently. Therefore, aiming at analyzing this coupling effect of geometric errors, a novel method is presented to identify the PDGEs and PIGEs of dual rotary axes simultaneously. The identification model is established based on the geometric error model and actual distances between the two retroreflectors, by which all geometric errors of two rotary axes can be obtained simultaneously. The identification results are validated by predicting volumetric errors, in which the deviations between the predicted and measured VEs are within 21.7 & mu;m in three directions. Moreover, the root mean square error between the predicted and measured volumetric errors is 6.8 & mu;m, which indicates that the proposed method can effectively accomplish the simultaneous identification of geometric errors. This identification method facilitates the further study of the coupling effect of PDGEs and PIGEs.
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Key words
Five-axis machine tool,Geometric errors,Dual quaternions,Dual rotary axes
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要点】:本论文提出了一种同时识别五轴机床双旋转轴几何误差的方法,创新点在于能同时获取位置相关几何误差(PDGEs)和位置无关几何误差(PIGEs),促进了双旋转轴几何误差耦合效应的深入研究。

方法】:该方法基于几何误差模型和两个反射器之间的实际距离建立识别模型,实现了双旋转轴所有几何误差的同步获取。

实验】:实验通过预测体积误差来验证识别结果,预测值与实测值之间的偏差在三个方向上均小于21.7微米,预测与实测体积误差的均方根误差为6.8微米,表明该方法能有效完成几何误差的同步识别。实验使用的数据集为实际测量得到的体积误差数据。