Abstract
Industrial robotics is becoming increasingly popular in the field of manufacturing automation. Two-beam laser welding robot is a proprietary industrial robot of great importance to improve the welding quality of stringer-skin T-shape structures. In the process of two-beam laser cooperative welding, the robot constantly adjusts its own posture, and the position and posture of each joint would change simultaneously, which leads to the change of the natural frequency, and other dynamic characteristics of the welding robot. Based on the finite element method (FEM), the modal analysis of the robot joints in the range of motion ability and the range of motion in the process of two-beam laser welding are studied, which can provide the basis for the design and accurate control of the robot with a high degree of freedom (DOF). The dynamic characteristics of the whole robot in different positions and attitudes are carried out, which includes two parts. One is the importance ranking of 18 joints of the robot through an orthogonal test according to the range of motion of each joint. The other is obtaining a plurality of time points in one welding cycle, and performing a modal analysis of the robot at each time point on the basis of the robot joints in the range of motion during the process of two-beam laser welding, the optimal number of time nodes are attained and the test workload could be reduced. The approach described herein provides a theoretical basis for robotics design and control optimization.
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The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.
References
Singh A, Kalaichelvia V, Karthikeyan R (2020) Application of convolutional neural network for classification and tracking of weld seam shapes for TAL Brabo Manipulator. Materials Today: Proceedings 28:491–497. https://doi.org/10.1051/matecconf/201929702003
Kenda M, Klobar D, Braun D (2021) Condition based maintenance of the two-beam laser welding in high volume manufacturing of piezoelectric pressure sensor. J Manuf Syst 59:117–126. https://doi.org/10.1016/j.jmsy.2021.02.007
Zhu H, Wang B, Chen W (2016) Dynamic performance analysis of truss robot based on RecurDyn and experimental research. Asia-Pacific Conference on Intelligent Robot Systems 2016:31–35. https://doi.org/10.1109/ACIRS.2016.7556183
Butenko V, Davidova I, Pastukhov P, Bagdasaryan T (2019) Investigation of the dynamic characteristics of the manipulator of the industrial robot technology. International Scientific and Practical Conference on Innovations in Mechanical Engineering 297:02003. https://doi.org/10.1051/matecconf/201929702003
Liu Y, Zhuang J, Wang S, Cao X, Qiao N (2019) Workspace analysis of the bogie 6-degree-of-freedom dynamic simulation test bench. Adv Mech Eng 11:168781401982714. https://doi.org/10.1177/1687814019827146
Huynh H, Assadi H, Riviere-Lorphevre E, Verlinden O, Ahmadi K (2020) Modelling the dynamics of industrial robots for milling operations. Robotics and Computer Integrated Manufacturing 61:101852. https://doi.org/10.1016/j.rcim.2019.101852
de Paula MV, Correa E, de Lima A, da Silva J (2019) Vibration response analysis on stainless steel thin plate weldments. The International J Adv Manuf Technol 102:1779–1786. https://doi.org/10.1007/s00170-019-03297-x
Lazarus A, Prabel B, Combescure D (2017) A 3D finite element model for the vibration analysis of asymmetric rotating machines. J Sound Vib 329:3780–3797. https://doi.org/10.1016/j.jsv.2010.03.029
Chen C, Peng F, Yan R, Li Y, Wei D, Zheng F, Tang X, Zhu Z (2018) Stiffness performance index based posture and feed orientation optimization in robotic milling process. Robotics and Computer-Integrated Manufacturing 55:29–40. https://doi.org/10.1016/j.rcim.2018.07.003
Fan S, Fan S (2019) Approximate stiffness modelling and stiffness defect identification for a heavy-load parallel manipulator. Robotica 37:1120–1142. https://doi.org/10.1017/S0263574718001492
Yang C, Li Q, Chen Q, Xu L (2018) Elastostatic stiffness modeling of overconstrained parallel manipulators. Mech Mach Theory 122:58–74. https://doi.org/10.1016/j.mechmachtheory.2017.12.011
Wu L, Dong C, Wang G, Liu H, Huang T (2021) An approach to predict lower-order dynamic behaviors of a 5-DOF hybrid robot using a minimum set of generalized coordinates. Robotics and Computer-Integrated Manufacturing 67:102024. https://doi.org/10.1016/j.rcim.2020.102024
Nguyen AV, Bouzgarrou BC, Charlet K, Béakou A (2021) Static and dynamic characterization of the 6-Dofs parallel robot 3CRS. Mech Mach Theory 93:65–82. https://doi.org/10.1016/j.mechmachtheory.2015.07.002
My C, Bien D, Le C, Packianather M (2019) An efficient finite element formulation of dynamics for a flexible robot with different type of joints. Mech Mach Theory 134:267–288. https://doi.org/10.1016/j.mechmachtheory.2018.12.026
Kumar P, Pratiher B (2020) Modal analysis and dynamic responses of a rotating Cartesian manipulator with generic payload and asymmetric load. Mech Based Des Struct Mach 48:48–67. https://doi.org/10.1080/15397734.2019.1624174
Luo H, Liu Y, Wang H, Zhou W (2011) Vibration characteristic analysis of spot-welding robot based on ADAMS/Vibration. International Conference on Electronic & Mechanical Engineering & Information Technology. Harbin: Institute of Electrical and Electronics Engineers: 691–695. https://doi.org/10.1109/EMEIT.2011.6023143
Lv J, Yang L (2012) Structural stability analysis on 4-Dof simple welding manipulator. Appl Mech Mater 159:277–281. https://doi.org/10.4028/www.scientific.net/AMM.159.277
Sayahkarajy M (2018) Mode shape analysis, modal linearization, and control of an elastic two-link manipulator based on the normal modes. Appl Math Model 59:546–570. https://doi.org/10.1016/j.apm.2018.02.003
Guo S, He Y, Shi L, Pan S, Tang K, Xiao R, Guo P (2017) Modal and fatigue analysis of critical components of an amphibious spherical robot. Microsyst Technol 23:2233–2247. https://doi.org/10.1007/s00542-016-3083-0
Martini A, Troncossi M, Carricato M, Rivola A (2014) Elastodynamic behavior of balanced closed-loop mechanisms: numerical analysis of a four-bar linkage. Meccanica 49:601–614. https://doi.org/10.1007/s11012-013-9815-7
Yuan N, Deng Z, Li J, Xiang W, Long L (2015) Multi-objective design optimization of an over-constrained flexure-based amplifier. Algorithms 8:424–434. https://doi.org/10.3390/a8030424
He Y, Mei J, Zang J, Xie S, Zhang F (2018) Multicriteria optimization design for end effector mounting bracket of a high speed and heavy load palletizing robot. Math Probl Eng 2018:1–17. https://doi.org/10.1155/2018/6049635
Li J, Wang Y, Wang Z, Lu J, Zhang K (2019) Design and analysis of demolition robot arm based on finite element method. Adv Mech Eng 11:1–9. https://doi.org/10.1177/1687814019853964
Nguyen V, Melkote S (2021) Hybrid statistical modelling of the frequency response function of industrial robots. Robotics and Computer-Integrated Manufacturing 70:102134. https://doi.org/10.1016/j.rcim.2021.102134
Zeng Q, Liu X, Qiu C, Li A (2019) Kinematic characteristics analysis of cooperative welding robot with multiple manipulators. 2019 4th Asia-Pacific Conference on Intelligent Robot Systems: 6–10. https://doi.org/10.1109/ACIRS.2019.8935973
Liu X, Qiu C, Zeng Q, Li A (2019) Kinematics analysis and trajectory planning of collaborative welding robot with multiple manipulators. 52nd CIRP Conference on Manufacturing Systems 81: 1034–1039. https://doi.org/10.1016/j.procir.2019.03.247
Kannan S, Kumaran SS, Kumaraswamidhas LA (2016) Optimization of friction welding by taguchi and ANOVA method on commercial aluminium tube to Al 2025 tube plate with backing block using an external tool. J Mech Sci Technol 30:2225–2235. https://doi.org/10.1016/j.jsv.2010.03.029
Daniyan I, Mpofu K, Fameso F, Adeodu A (2020) Numerical simulation and experimental validation of the welding operation of the railcar bogie frame to prevent distortion. The International J Adv Manuf Technol 106:5213–5224. https://doi.org/10.1007/s00170-020-04988-6
Huang Y, Gao X, Ma B, You D (2020) Optimization of weld strength for laser welding of steel to PMMA using Taguchi design method. Opt Laser Technol 136:106726. https://doi.org/10.1016/j.optlastec.2020.106726
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This work is supported by the National Key R&D Program of China (2018YFB1700902).
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Qingfei Zeng wrote the first draft of the paper. All authors revised and approved the final version of the manuscript.
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Zeng, Q., Liu, X., Liu, Z. et al. Dynamic characteristics analysis of two-beam laser welding robot for fuselage panels. Int J Adv Manuf Technol 121, 7463–7474 (2022). https://doi.org/10.1007/s00170-022-09620-3
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DOI: https://doi.org/10.1007/s00170-022-09620-3