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Author:

Cai, Ligang (Cai, Ligang.) (Scholars:蔡力钢) | Li, Jiaying (Li, Jiaying.) | Cheng, Qiang (Cheng, Qiang.) (Scholars:程强) | Sun, Bingwei (Sun, Bingwei.) | Wang, Yan (Wang, Yan.)

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CPCI-S EI Scopus

Abstract:

Instead improving the accuracy of machine tool by increasing the precision of key components level blindly in the production process, the method of combination of SNR quality loss function and machine tool geometric error correlation analysis to optimize five-axis machine tool geometric errors will be adopted. Firstly, the homogeneous transformation matrix method will be used to build five-axis machine tool geometric error modeling. Secondly, the SNR quality loss function will be used for cost modeling. And then, machine tool accuracy optimal objective function will be established based on the correlation analysis. Finally, ISIGHT combined with MATLAB will be applied to optimize each error. The results show that this method is reasonable and appropriate to relax the range of tolerance values, so as to reduce the manufacturing cost of machine tools.

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Author Community:

  • [ 1 ] [Cai, Ligang]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Li, Jiaying]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Cheng, Qiang]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Sun, Bingwei]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Wang, Yan]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Cheng, Qiang]Cent South Univ, Key Lab High Performance Complex Mfg, Changsha 4310083, Hunan, Peoples R China

Reprint Author's Address:

  • 蔡力钢

    [Cai, Ligang]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

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Source :

2016 THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS AND MECHANICAL ENGINEERING (ICMME 2016)

ISSN: 2261-236X

Year: 2017

Volume: 95

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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