Stiffness Optimization of a Robotic Drilling System for Enhanced Accuracy in Aerospace Assembly

被引:0
|
作者
Xu, Haiyang [1 ]
Xue, Jixiao [2 ]
Guo, Gaojie [1 ]
Liu, Yankai [1 ]
Liu, Mingqi [1 ]
Zhang, Deyuan [1 ]
机构
[1] Beihang Univ, Sch Mech Engn & Automat, Beijing 100191, Peoples R China
[2] Shanghai Aerosp Control Technol Inst, Shanghai 201109, Peoples R China
基金
中国国家自然科学基金;
关键词
robotic drilling system; stiffness enhancement method; axial stiffness; aircraft assembly; POSTURE OPTIMIZATION; STABILITY ANALYSIS; QUALITY;
D O I
10.3390/act14020086
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The low stiffness of robots significantly limits their applicability within the aerospace assembly and manufacturing sectors. The majority of existing research focuses on optimizing robot posture; however, the efficacy of these approaches is constrained in situations with minimal posture variation. To address this challenge, this study examines a robotic drilling system designed for use in confined spaces. An in-depth analysis of its stiffness model is conducted, and the system's stiffness limitations are identified using the stiffness ellipsoid evaluation method. Based on the mechanical analysis of the drilling state, a stiffness enhancement method grounded in the local force closure of the end effector is proposed. This method involves locking the end effector's expansion module with the substrate during the drilling process, thereby enabling the axial drilling forces to be jointly borne by the expansion module and the robot's base joints. Consequently, the system's stiffness, particularly in the axial direction, is substantially improved. A series of experiments rigorously validate the effectiveness of the proposed stiffness enhancement method. The experimental results demonstrate that the stiffness-optimized robot reduces axial deformation during drilling by a factor of ten and significantly improves hole quality and exit burr height.
引用
收藏
页数:22
相关论文
共 50 条
  • [31] Trajectory Generation and Steering Optimization for Self-Assembly of a Modular Robotic System
    Wolfe, Kevin C.
    Kutzer, Michael D. M.
    Armand, Mehran
    Chirikjian, Gregory S.
    2010 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2010, : 4996 - 5001
  • [32] OPTIMIZATION DESIGN FOR NORMAL DIRECTION MEASUREMENT IN ROBOTIC DRILLING
    Gao, Y.
    Wu, D.
    Nan, C.
    Ma, X.
    Chen, K.
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2014, VOL 2B, 2014,
  • [33] An error-similarity-based robot positional accuracy improvement method for a robotic drilling and riveting system
    Yuanfan Zeng
    Wei Tian
    Dawei Li
    Xiaoxu He
    Wenhe Liao
    The International Journal of Advanced Manufacturing Technology, 2017, 88 : 2745 - 2755
  • [34] An error-similarity-based robot positional accuracy improvement method for a robotic drilling and riveting system
    Zeng, Yuanfan
    Tian, Wei
    Li, Dawei
    He, Xiaoxu
    Liao, Wenhe
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 88 (9-12): : 2745 - 2755
  • [35] Robotic Assembly Planning and Control with Enhanced Adaptability
    Wang, L.
    Givehchi, M.
    Schmidt, B.
    Adamson, G.
    45TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS 2012, 2012, 3 : 173 - 178
  • [36] Development of a monocular vision system for robotic drilling
    Wei-dong ZHU
    Biao MEI
    Guo-rui YAN
    Ying-lin KE
    Frontiers of Information Technology & Electronic Engineering, 2014, (08) : 593 - 606
  • [37] ANATOMY OF A ROBOTIC DRILLING AND RIVETING SYSTEM.
    Fitzpatrick, Peter R.
    Barto Jr., John J.
    Robotics today, 1984, 6 (03): : 75 - 78
  • [38] Robotic Arm Drilling Surgical Navigation System
    Lin, H. C.
    Lee, S. T.
    Wu, C. T.
    Lee, W. Y.
    Lin, C. C.
    2014 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND INTELLIGENT SYSTEMS (ARIS 2014), 2014, : 144 - 147
  • [39] Neurosurgical robotic arm drilling navigation system
    Lin, Chung-Chih
    Lin, Hsin-Cheng
    Lee, Wen-Yo
    Lee, Shih-Tseng
    Wu, Chieh-Tsai
    INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY, 2017, 13 (03):
  • [40] LQR Controller for Robotic Skull Drilling System
    Mohamed, Meftah Mahmoud
    Gu, Jason
    Luo, Jun
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 7533 - 7538