Open AccessA Multi-error Measurement Method for Workpiece of Vertical Machine Tool
Author(s) -
Xiaoming Wang,
Daowen Wan,
Yongmeng Liu,
Dawei Wang,
Zhen Cao,
Junfeng Wang,
Chuanzhi Sun,
De Qun Zhou,
Chen Xue,
Ma Hongliang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1877/1/012009
Subject(s) - roundness (object) , computer science , error analysis , rotation (mathematics) , algorithm , observational error , set (abstract data type) , mean squared prediction error , error detection and correction , artificial intelligence , mathematics , statistics , geometry , programming language
This paper proposes a method of multi-error separation for online monitoring of machine tool workpieces based on a single sensor with three rotation. Firstly, the multiple error sources what include roundness error, spindle radial rotation error and eccentric error are identified in the measured data of the sensor. Then, a multi-error separation model is established based on error sources. And the accurate separation of each error is realized through theoretical derivation. At the same time, an experimental system is set up to further verify the effectiveness and accuracy of the model.