Stiffness Evaluation of an Adsorption Robot for Large-Scale Structural Parts Processing

被引:21
|
作者
Chen, Jiakai [1 ]
Xie, Fugui [1 ,2 ]
Liu, Xin-Jun [1 ,2 ]
Bi, Weiyao [1 ]
机构
[1] Tsinghua Univ, Dept Mech Engn DME, State Key Lab Tribol, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Beijing Key Lab Precis Ultraprecis Mfg Equipments, Beijing 100084, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
adsorption robot; parallel manipulator; stiffness isotropy index; stiffness evaluation; workspace identification; PARALLEL MECHANISMS; POSTURE OPTIMIZATION; MACHINE-TOOL; MANIPULATORS;
D O I
10.1115/1.4050683
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Efficient and economical processing of large-scale structural parts is in increasing need and is also a challenging issue. In this paper, an adsorption machining robot for processing of large-scale structural parts is presented. It has potential advantages in flexible, efficient, and economical processing of large-scale structural parts because of the adsorption ability. Stiffness is one of the most important performance for machining robots. In order to investigate the stiffness of the robot in the workspace, the kinematics of the adsorption manipulator, the five-axis machining manipulator, and the adsorption machining robot is derived step by step. Then with the help of finite element analysis (FEA), a stiffness modeling method considering the compliance of the base is proposed. A stiffness isotropy index is put forward to evaluate the robot's overall stiffness performance by taking all possible working conditions into consideration. Based on the index, stiffness evaluation in the reachable workspace is carried out and an optimized workspace is identified considering the overall stiffness magnitude, stiffness isotropy, and workspace volume, which will be used in the machining process. The stiffness modeling method and stiffness isotropy index proposed in the paper are universal and can be applied to other parallel robots.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Automation and control of large-scale composite parts by VARTM processing
    Heider, D
    Hofmann, C
    Gillespie, JW
    BRIDGING THE CENTURIES WITH SAMPE'S MATERIALS AND PROCESSES TECHNOLOGY, VOL 45, BOOKS 1 AND 2, 2000, : 1567 - 1575
  • [2] Data processing and evaluation for large-scale proteome profile
    Wu, S.
    Ying, W.
    Zhang, J.
    Xue, X.
    Qian, X.
    Zhu, Y.
    He, F.
    MOLECULAR & CELLULAR PROTEOMICS, 2006, 5 (10) : S121 - S121
  • [3] Progresses in Multi-Robot Cooperative Additive Manufacturing of Large-Scale Metal Parts
    Li Y.
    Li C.
    Zhou Y.
    Zhang G.
    Meng L.
    Li M.
    Xiyou Jinshu/Chinese Journal of Rare Metals, 2023, 47 (05): : 664 - 678
  • [4] Large-scale processing of coals
    Procycat, F
    ZEITSCHRIFT DES VEREINES DEUTSCHER INGENIEURE, 1933, 77 : 893 - 897
  • [5] Design and evaluation of a large-scale magnetically navigated robot scheduling system
    Zeng Yue
    Li Xiaoming
    JOURNAL OF ENGINEERING-JOE, 2020, 2020 (13): : 399 - 402
  • [6] Learning optimal measurement and control of assembly robot for large-scale heavy-weight parts
    Wan, An
    Xu, Jing
    Zhang, Song
    Zhang, Zonghua
    Chen, Ken
    2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2015, : 1240 - 1246
  • [7] A real-time data acquisition and processing framework for large-scale robot skin
    Youssefi, S.
    Denei, S.
    Mastrogiovanni, F.
    Cannata, G.
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2015, 68 : 86 - 103
  • [8] LARGE-SCALE IMAGE-PROCESSING
    CHEN, CC
    BULLETIN OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, 1987, 13 (06): : 15 - 16
  • [9] LARGE-SCALE PARALLEL PROCESSING SYSTEMS
    SIEGEL, HJ
    SCHWEDERSKI, T
    MEYER, DG
    HSU, WT
    MICROPROCESSORS AND MICROSYSTEMS, 1987, 11 (01) : 3 - 20
  • [10] LARGE-SCALE CHROMATOGRAPHY IN INDUSTRIAL PROCESSING
    GANETSOS, G
    BARKER, PE
    JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY, 1991, 50 (01) : 101 - 108