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Author:

Wang, Jianhua (Wang, Jianhua.) | Tao, Wenxiu (Tao, Wenxiu.) | Liu, Zhifeng (Liu, Zhifeng.) (Scholars:刘志峰) | Yang, Congbin (Yang, Congbin.)

Indexed by:

CPCI-S

Abstract:

R-theta robot arm is an important part of the robot to achieve the function, low stiffness seriously affect the accuracy and efficiency of work, so the requirement of stiffness is higher. In order to improve the rigidity, this paper put the arm structure as the research object to optimize. First of all, the relationship between the total deformation of the joint arms and the wall thickness of the arms are analyzed, get the optimal wall thickness and improving the structure of the arm, a new arm structure model is established. On this basis, the topology optimization method based on homogenization method is used to optimize the arm structure and get the final optimal structure. Finally, verification and analysis are carried out on the arms of a single-arm R-theta robot. The results show that the combination of two optimization methods can not only effectively reduce the arm weight, but also better improve the natural frequency, thereby increasing the stiffness The model and analysis conclusion of this paper will provide theoretical support for the actual improvement of the motion performance of the robot.

Keyword:

stiffness R-theta robot thickness topology optimization

Author Community:

  • [ 1 ] [Wang, Jianhua]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Tao, Wenxiu]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Liu, Zhifeng]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Yang, Congbin]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Wang, Jianhua]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

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Source :

PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY (FMSMT 2017)

ISSN: 2352-5401

Year: 2017

Volume: 130

Page: 1150-1157

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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