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作者:

Niu, Peng (Niu, Peng.) | Cheng, Qiang (Cheng, Qiang.) (学者:程强) | Zhang, Caixia (Zhang, Caixia.) | Hao, Xiaolong (Hao, Xiaolong.) | Yang, Congbin (Yang, Congbin.) | Chen, Chuanhai (Chen, Chuanhai.)

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SCIE

摘要:

In the state of machining service, to evaluate the machining accuracy reliability of multi-axis CNC machine tools, analyze the accuracy failure mode and the reliability sensitivity under the failure mode, this paper proposes a research method by the cross-correlation studies of geometric error parameters to improve and promote the accuracy reliability of CNC machine tools. Firstly, by multi-body system theory, the homogeneous coordinate transformation matrix between each body of the machine tool is established, and the spatial machining accuracy model is constructed. At the same time, considering the time series problem in the measurement process of geometric error parameters, this paper studies the correlation between the error parameters for reliability analysis and proposes a novel reliability analysis index for each measurement point in the machine tool workspace. To validation of the method, the analysis results of this paper are compared with those by Monte Carlo simulation. In addition, the accuracy failure conditions of the machine tool are studied, the failure state function of machine tool accuracy is established, and the accuracy failure modes that may occur are analyzed from this, to carry out the accuracy failure sensitivity analysis under the failure mode, and to identify key geometric errors which have a great impact on the machining accuracy reliability of machine tool in the failure mode. Finally, taking a 3-axis machine tool as an example, according to the analysis results, this paper puts forward measures to improve the accuracy reliability and verifies the feasibility of the proposed method.

关键词:

Accuracy failure sensitivity (AFS) Cross-correlation analysis Machining accuracy reliability Multi-axis machine tool (MAMT) Multi-body system (MBS) theory

作者机构:

  • [ 1 ] [Niu, Peng]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Cheng, Qiang]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Caixia]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Hao, Xiaolong]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Yang, Congbin]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Niu, Peng]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 7 ] [Cheng, Qiang]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 8 ] [Zhang, Caixia]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 9 ] [Hao, Xiaolong]Beijing Univ Technol, Machinery Ind Key Lab Heavy Machine Tool Digital, Beijing 100124, Peoples R China
  • [ 10 ] [Yang, Congbin]Beijing Univ Technol, Machinery Ind Key Lab Heavy Machine Tool Digital, Beijing 100124, Peoples R China
  • [ 11 ] [Chen, Chuanhai]Jilin Univ, Key Lab CNC Equipment Reliabil, Minist Educ, Changchun, Peoples R China

通讯作者信息:

  • 程强

    [Cheng, Qiang]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China;;[Cheng, Qiang]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

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来源 :

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

ISSN: 0268-3768

年份: 2021

3 . 4 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:9

被引次数:

WoS核心集被引频次: 4

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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