Prediction and identification of rotary axes error of non-orthogonal five-axis machine tool

被引：37

作者：

Chen, Dongju ^{[1
]}

Dong, Lihua ^{[1
]}

Bian, Yanhua ^{[1
]}

Fan, Jinwei ^{[1
]}

机构：

[1] Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

来源：

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE | 2015年 / 94卷

基金：

北京市自然科学基金; 中国国家自然科学基金;

关键词：

Non-orthogonal five-axis NC machine tool; Tilting rotary axis; Denavit-Hartenberg motion deviations; Identification algorithm; GEOMETRIC ERRORS; BALL; TABLE; COMPENSATION; ACCURACY; CENTERS; MODEL;

D O I：

10.1016/j.ijmachtools.2015.03.010

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper proposes an efficient and automated scheme to predict and identify the position and motion errors of rotary axes on a non-orthogonal five-axis machining centre using the double ball bar (DBB) system. Based on the Denavit-Hartenberg theory, a motion deviations model for the tilting rotary axis B and rotary C of a non-orthogonal five-axis NC machine tool is established, which considers tilting rotary axis B and rotary C static deviations and dynamic deviations that total 24. After analysing the mathematical expression of the motion deviations model, the QC20 double ball bar (DBB) from the Renishaw Company is used to measure and identify the motion errors of rotary axes B and C, and a measurement scheme is designed. With the measured results, the 24 geometric deviations of rotary axes B and C can be identified intuitively and efficiently. This method provides a reference for the error identification of the non-orthogonal five-axis NC machine tool. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：74 / 87

页数：14

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