.png){kind=icon}
返回
Spatial error prediction method for precision machine tools considering the influence of repeatability error
.png){kind=icon}
PRE
AI
DOI：10.1016/j.measurement.2024.114721.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A spatial error prediction method for precision machine tools considering the influence of repeatability errors is proposed in this paper. Firstly, the reciprocal of the repeatability error is used to evaluate the measurement data confidence to distinguish the difference of useful information contained in the measurement data of different positions. Secondly, the proposed confidence index is used to weight the measured values of PDGEs at different positions, so that the data containing more useful information can play a full role in the error prediction, and the predicted error is substituted into the error model to predict the spatial error. Then, the computer simulation based on statistical analysis is designed, the PDGEs and spatial error prediction accuracy of the weighted algorithm are verified by simulation. Finally, a multi-instrument fusion spatial error measurement scheme is proposed, and the accuracy and reliability of the model are verified on a horizontal machining center prototype.
Keyword:
Spatial error prediction
Measurement data confidence
Weighted identification
Multi -instrument measurement fusion
Precision machine tool
期刊
IF:
5.6
论文数:
2.0W
被引数:
5.4W
机构
引用论文
Automated measurement and hybrid adaptive identification method for kinematic calibration of hybrid machine tools.png)
MEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏Sensitivity analysis of inverse multilateration based on tracking interferometer measurement for a bi-rotary head five-axis machine toolMEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏Simultaneous identification for geometric error of dual rotary axes in five-axis machine toolsMEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏Modeling and compensation of enhanced volumetric error of machine tools containing crosstalk errors
PREAI
分享收藏
查看更多内容