Determination method of optimal measurement area of CNC machine tool on-machine measurement system

被引:2
|
作者
Zhang S. [1 ,2 ]
Yang H. [1 ,2 ]
Ma Q. [1 ,2 ]
Li L. [1 ,2 ]
机构
[1] School of Mechanical Engineering, Anhui University of Science and Technology, Huainan
[2] Anhui Key Laboratory of Mine Intelligent Equipment and Technology, Anhui University of Science and Technology, Huainan
关键词
DE-CS algorithm; error modeling; in-machine measurement system; optimum measure⁃ ment area; universal applicability;
D O I
10.37188/OPE.20233104.0491
中图分类号
学科分类号
摘要
To better understand the method for determining the optimal measurement area of a computer⁃ ized numerical control(CNC)machine tool in-machine measurement system with different measurement objects and universal application,a ball is selected as the measurement object,and the working principle and error sources of the in-machine measurement system are analyzed. A single error-whitening model is established using a dual-frequency laser interferometer and a beetle antenna search algorithm backpropaga⁃ tion(BAS-BP)neural network measurement. Simultaneously,the comprehensive error model of the mea⁃ surement system and the spherical measurement error model are established. The differential evolution cuckoo search(DE-CS)algorithm for determining the optimal measurement area search is studied. The search performances of different algorithms are compared,and the optimal performance parameters of the algorithm are determined. An experimental device is set up to determine the optimal measurement area of the sphere,and the corresponding experiments are carried out. Finally,the consistency of the optimal measurement position determined by the algorithm and the actual measurement is compared. The experi⁃ mental results show that the spherical optimal measurement area obtained by the aforementioned method is consistent with that obtained experimentally,and can be used to determine the optimal measurement area of other measurement objects,such as points,planes,and so on. The proposed system is demonstrated to be universally applicable and capable of determining the optimal measurement area of machine measure⁃ ment systems. © 2023 Chinese Academy of Sciences. All rights reserved.
引用
收藏
页码:491 / 502
页数:11
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