Riveting is one of the major joining methods used in assembly, and the robotic riveting has been gradually introduced into aircraft industry. In this paper, a method is presented for modeling and simulation of percussive robotic riveting. In percussive riveting, vibration always exists. When an impact force is employed, a forced vibration will be induced. If it resonates with a robot natural frequency, the vibration will cause damage to the robot. The main content of this paper is divided into three parts. Firstly, a robot dynamic model is established to compute the driving torque for each joint. Secondly, vibration responses under impact are analyzed for the percussive riveting process. Thirdly, the effect of riveting on robot vibration is studied over the robot workspace. The purpose of this paper is to discuss the suitable regions for riveting where the robot vibration is very minimal. It is shown that based on the presented method an appropriate trajectory can be planned for robotic riveting.
Shuai Guo
,
Song-Liang Nie
,
Feng-Feng Xi
,
Tao Song
. Modeling and simulation of percussive impact for robotic riveting system[J]. Advances in Manufacturing, 2014
, 2(4)
: 344
-352
.
DOI: 10.1007/s40436-014-0091-0
1. Li YW, Xi FF, Behdinan K (2010) Dynamic modeling and simulation of percussive impact riveting for robotic automation. J Comput Nonlinear Dyn 5(2):021011
2. Qu W, Dong H, Ke Y (2011) Pose accuracy compensation technology in robot-aided aircraft assembly drilling process. Acta Aeronautica et Astronautica Sinica 32(10):1951–1960
3. Xiao H, Li Y, Zhang KF et al (2010) Multi-objective optimization method for automatic drilling and riveting sequence planning. Chin J Aeronaut 23(6):734–742
4. Bi S, Liang J (2011) Robotic drilling system for titanium structures. Int J Adv Manuf Technol 54(5/8):767–774
5. Olsson T, Robertsson A, Johansson R (2007) Flexible force control for accurate low-cost robot drilling. In: 2007 IEEE
international conference on robotics and automation, Roma, Italy,10–14 April 2007
6. Dhanaraj C, Sharan M (1995) Efficient modeling of rigid link robot dynamic problems with friction. Mech Mach Theory 30(5):749–764
7. Zhao Y, Bai Z (2010) Dynamics analysis of space robot manipulator with joint clearance. Acta Astronautica 68(7):1147–1155
8. KalyoncuM(2007) Mathematical modelling and dynamic response of a multi-straight-line path tracing flexible robot manipulator with rotating-prismatic joint. Appl Math Model 32(6):1087–1098
9. Shi ZX, Fung Eric HK, Li YC (1999) Dynamic modelling of a rigid-flexible manipulator for constrained motion task control. Appl Math Model 23(7):509–525
10. Knani J (2002) Dynamic modeling of flexible robotic mechanisms and adaptive robust control of trajectory computer simulation. Appl Math Model 26(12):1113–1124
11. Zhang C, Yu Y (2003) Dynamic modeling of robot arm with joint flexibility and link flexibility manipulating a constrained object. Chin J Mech Eng 39(6):9–12
12. Lee CSG, Lee BH, Nigam R (1982) An efficient formulation of robot arm dynamics for control analysis and manipulator design. Technical Reports of Robotics and Integrated Manufacturing, University of Michigan, Ann Arbor, Michigan
13. Boscariol P, Gasparetto A (2013) Model-based trajectory planning for flexible-link mechanisms with bounded jerk. Robot Comput Integr Manuf 8(29):90–99
14. Yin HB, Kobayashi Y, Hoshino Y et al (2011) Modeling and vibration analysis of flexible robotic arm under fast motion in consideration of nonlinearity. J Syst Des Dyn 5(5):909–924
15. XieX,Huang J, LiangZ(2013) Vibration reduction forflexible systems by command smoothing. Mech Syst Signal Process 8(39):461–470
16. Wang Y, Huang QB, Zhou MG et al (2006) Vibration response analysis of 2-DOF locally nonlinear systems based on the theory of modal super position. J Chongqing Univ (English Edition) 5(3):125–130