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作者:

Chen, Dongju (Chen, Dongju.) (学者:陈东菊) | Dong, Lihua (Dong, Lihua.) | Bian, Yanhua (Bian, Yanhua.) | Fan, Jinwei (Fan, Jinwei.) (学者:范晋伟)

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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.

关键词:

Tilting rotary axis Identification algorithm Non-orthogonal five-axis NC machine tool Denavit-Hartenberg motion deviations

作者机构:

  • [ 1 ] [Chen, Dongju]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Dong, Lihua]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Bian, Yanhua]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Fan, Jinwei]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

通讯作者信息:

  • 陈东菊

    [Chen, Dongju]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Ping Leyuan 100, Beijing 100124, Peoples R China

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来源 :

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

ISSN: 0890-6955

年份: 2015

卷: 94

页码: 74-87

1 4 . 0 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:174

JCR分区:1

中科院分区:1

被引次数:

WoS核心集被引频次: 20

SCOPUS被引频次: 40

ESI高被引论文在榜: 0 展开所有

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