Kinematics Error Compensation for a Surface Measurement Probe on an Ultra-Precision Turning Machine

被引:22
|
作者
Li, Duo [1 ]
Jiang, Xiangqian [1 ]
Tong, Zhen [1 ]
Blunt, Liam [1 ]
机构
[1] Univ Huddersfield, EPSRC, Future Metrol Hub, Huddersfield HD1 3DH, W Yorkshire, England
来源
MICROMACHINES | 2018年 / 9卷 / 07期
基金
英国工程与自然科学研究理事会;
关键词
on-machine surface measurement; kinematics error model; error measurement; error compensation; ultra-precision machine tool; STRAIGHTNESS; ACCURACY; MOTION; TOOLS;
D O I
10.3390/mi9070334
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In order to enhance the measurement availability for manufacturing applications, on-machine surface measurement (OMSM) is integrated onto the machine tools, which avoids the errors caused by re-positioning workpieces and utilizes the machine axes to extend the measuring range as well. However, due to the fact that measurement probe actuation is performed using the machine tool axes, the inherent kinematics error will inevitably induce additional deviations onto the OMSM results. This paper presents a systematic methodology of kinematics error modelling, measurement, and compensation for OMSM on an ultra-precision turning lathe. According to the measurement task, a selective kinematics error model is established with four primary error components in the sensitive measurement direction, based on multi-body theory and a homogeneous transformation matrix (HTM). In order to separate the artefact error from the measurement results, the selected error components are measured using the reversal method. The measured error value agrees well with the machine tool's specification and a kinematics error map is generated for further compensation. To verify the effectiveness of the proposed kinematics error modelling, measurement, and compensation, an OMSM experiment of an optically flat mirror is carried out. The result indicates the OMSM is the superposition of the sample surface form error and the machine tool kinematics error. With the implementation of compensation, the accuracy of the characterized flatness error from the OMSM improves by 67%.
引用
收藏
页数:15
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