Stiffness analysis and optimization in robotic drilling application

被引:114
作者
Bu, Yin [1 ]
Liao, Wenhe [1 ]
Tian, Wei [1 ]
Zhang, Jin [1 ]
Zhang, Lin [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, Nanjing 210016, Jiangsu, Peoples R China
来源
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY | 2017年 / 49卷
基金
中国国家自然科学基金;
关键词
Industrial robot; Processing performance index; Drilling; Stiffness optimization; Aircraft assembly; PARAMETERS; ACCURACY;
D O I
10.1016/j.precisioneng.2017.04.001
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Low stiffness characteristics limit the application of industrial robots in the field of precision manufacturing. This paper focuses primarily on the stiffness properties of drilling robots by further studying the stiffness ellipsoid model. A Cartesian compliance model is proposed to describe the robot stiffness in Cartesian space. Based on the compliance model, a quantitative evaluation index of the robot's processing performance is defined. By choosing a proper drilling posture, the performance index in the cutting tool direction is optimized. Higher accuracy of the countersink depth and hole axial direction can be guaranteed. From the perspective of the robot processing mechanism, the key role of the per-load pressing force is first indicated. By applying a per-load pressing force, the performance index on the machining plane is enhanced. Hole diameter accuracy is improved significantly. A stiffness improving factor used to evaluate the stiffness promotion degree is also proposed. Finally, experiments were conducted to verify the correctness of the proposed model. Drilling experiments were performed to investigate the effectiveness of the robot processing performance index improving methods The principle of pressing force used in engineering applications is given based on processing parameters. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:388 / 400
页数:13
相关论文
共 33 条
[1]   Modeling and identification of an industrial robot for machining applications [J].
Abele, E. ;
Weigold, M. ;
Rothenbuecher, S. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2007, 56 (01) :387-390
[2]   Tool path adaption based on optical measurement data for milling with industrial robots [J].
Abele, E. ;
Schutzer, K. ;
Bauer, J. ;
Pischan, M. .
PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT, 2012, 6 (4-5) :459-465
[3]   Implementation and testing of a CAM postprocessor for an industrial redundant workcell with evaluation of several fuzzified Redundancy Resolution Schemes [J].
Andres, Javier ;
Gracia, Luis ;
Tornero, Josep .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2012, 28 (02) :265-274
[4]  
Angeles J., 2001, FUNDAMENTALS ROBOTIC
[5]  
[Anonymous], 2003, P 6 CIRP WORKSH MOD
[6]   Kinematic modeling of Exechon parallel kinematic machine [J].
Bi, Z. M. ;
Jin, Y. .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2011, 27 (01) :186-193
[7]   Burr height model for vibration assisted drilling of aluminum 6061-T6 [J].
Chang, Simon S. F. ;
Bone, Gary M. .
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2010, 34 (03) :369-375
[8]  
Chaumette F., 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), P1720, DOI 10.1109/ROBOT.2000.844844
[9]  
DeVlieg R, SAE TECHNICAL PAPERS
[10]   Joint stiffness identification of six-revolute industrial serial robots [J].
Dumas, Claire ;
Caro, Stephane ;
Garnier, Sebastien ;
Furet, Benoit .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2011, 27 (04) :881-888