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作者:

Qi, Baobao (Qi, Baobao.) | Cheng, Qiang (Cheng, Qiang.) (学者:程强) | Liu, Zhifeng (Liu, Zhifeng.) (学者:刘志峰) | Yang, Congbin (Yang, Congbin.)

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SCIE

摘要:

Ball screws are used as precision transmission components in a wide range of industries. The combination of sliding/rolling motion can influence the degree of precision degradation of the ball screw. Optimization analysis of structural parameters can reduce precision loss and improve precision retention. This article presents an optimization analysis of the ball screw to improve precision retention under mixed sliding-rolling motion. Precision loss of the ball screw due to mixed sliding-rolling motion was calculated. In addition, the effects of operating conditions and structural parameters on the precision loss were analyzed. Factors affecting precision loss of the ball screw under mixed motion were determined and the objective function to characterize precision retention was established according to imposed constraints. Structural parameter optimization of the ball screw based on an advanced neural fuzzy network can reduce the average rate of precision loss by approximately 18.36% and improve precision retention.

关键词:

advanced neural fuzzy network Attenuation Ball screw Fasteners Force Optimization optimization analysis precision retention Strain Structural engineering structural parameters

作者机构:

  • [ 1 ] [Qi, Baobao]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 ] [Liu, Zhifeng]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Yang, Congbin]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Qi, Baobao]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Cheng, Qiang]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 7 ] [Liu, Zhifeng]Beijing Univ Technol, Mech Ind Key Lab Heavy Machine Tool Digital Desig, Beijing 100124, Peoples R China
  • [ 8 ] [Yang, Congbin]Beijing Univ Technol, Mech Ind Key Lab Heavy Machine Tool Digital Desig, Beijing 100124, 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 :

IEEE ACCESS

ISSN: 2169-3536

年份: 2020

卷: 8

页码: 199289-199307

3 . 9 0 0

JCR@2022

JCR分区:2

被引次数:

WoS核心集被引频次: 2

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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