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Multi-objective optimal design of a novel 6-DOF spray-painting robot

Published online by Cambridge University Press:  19 April 2021

Jun Wu Open the ORCID record for Jun Wu [Opens in a new window] ,
Xiaojian Wang ,
Binbin Zhang  and
Tian Huang
Jun Wu*
Affiliation:
State Key Laboratory of Tribology and Institute of Manufacturing Engineering, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China Beijing Key Lab of Precision/Ultra-Precision Manufacturing Equipment and Control, Beijing 100084, China
Xiaojian Wang
Affiliation:
State Key Laboratory of Tribology and Institute of Manufacturing Engineering, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China Beijing Key Lab of Precision/Ultra-Precision Manufacturing Equipment and Control, Beijing 100084, China
Binbin Zhang
Affiliation:
State Key Laboratory of Tribology and Institute of Manufacturing Engineering, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China Beijing Key Lab of Precision/Ultra-Precision Manufacturing Equipment and Control, Beijing 100084, China
Tian Huang
Affiliation:
Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin 300354, China School of Engineering, University of Warwick, Coventry CV4 7AL, UK
*
*Corresponding author. Email: jhwu@mail.tsinghua.edu.cn
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Abstract

This paper deals with the multi-objective optimal design of a novel 6-degree of freedom (DOF) hybrid spray-painting robot. Its kinematic model is obtained by dividing it into serial and parallel parts. The dynamic equation is formulated by virtual work principle. A performance index for evaluating the compactness of robot is presented. Taking compactness, motion/force transmissibility, and energy consumption as performance indices, the optimal geometric parameters of the robot are selected in the Pareto-optimal set by constructing a comprehensive performance index. This paper is very useful for the development of the spray-painting robot.

Keywords

Hybrid robotPerformance evaluationCompactnessMotion/force transmissibilityEnergy consumptionMulti-objective optimization
Type
Article
Information
Robotica , Volume 39 , Issue 12 , December 2021 , pp. 2268 - 2282
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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References

Wu, J., Yu, G., Gao, Y. and Wang, L. P., “Mechatronics modeling and vibration analysis of a 2-DOF parallel manipulator in a 5-DOF hybrid machine tool,” Mech. Mach. Theory. 121, 430–445 (2018).CrossRefGoogle Scholar
Zhang, D. S., Xu, Y. D., Yao, J. T. and Zhao, Y. S., “Analysis and optimization of a spatial parallel mechanism for a new 5-DOF hybrid serial-parallel manipulator,” Chin. J. Mech. Eng-En. 31(1), 54 (2018).CrossRefGoogle Scholar
Wu, J., Wang, J. S., Wang, L. P. and Li, T. M., “Dynamics and control of a planar 3-DOF parallel manipulator with actuation redundancy,” Mech. Mach. Theory. 44(4), 835–849 (2009).CrossRefGoogle Scholar
Zhao, Y. J. and Gao, F., “Dynamic performance comparison of the 8PSS redundant parallel manipulator and its non-redundant counterpart-the 6PSS parallel manipulator,” Mech. Mach. Theory. 44(5), 991–1008 (2009).CrossRefGoogle Scholar
Lee, M. K. and Park, K. W., “Workspace and singularity analysis of a double parallel manipulator,” IEEE-ASME T. Mech. 5(4), 367–375 (2000).Google Scholar
Zi, B., J. B, Cao, Z. C. Zhu and P. Mitrouchev, “Design, dynamics, and workspace of a hybrid-driven-based cable parallel manipulator,” Math. Probl. Eng. 2013, 914653 (2013).Google Scholar
Xu, Y. D., Yao, J. T. and Zhao, Y. S., “Inverse dynamics and internal forces of the redundantly actuated parallel manipulators,” Mech. Mach. Theory. 51, 172–184 (2012).CrossRefGoogle Scholar
Zhang, D. S., Xu, Y. D., Yao, J. T. and Zhao, Y. S., “Design of a novel 5-DOF hybrid serial-parallel manipulator and theoretical analysis of its parallel part,” Robot. Cim-Int. Manuf. 53, 228–239 (2018).CrossRefGoogle Scholar
Stock, M. and Miller, K., “Optimal kinematic design of spatial parallel manipulators: Application to linear delta robot,” J. Mech. Design. 125(2), 292–301 (2003).10.1115/1.1563632CrossRefGoogle Scholar
Ryu, J. and Cha, J., “Volumetric error analysis and architecture optimization for accuracy of HexaSlide type parallel manipulators,” Mech. Mach. Theory. 38(3), 227–240 (2003).CrossRefGoogle Scholar
Liu, X. J. and Wang, J. S., “A new methodology for optimal kinematic design of parallel mechanisms,” Mech. Mach. Theory. 42(9), 1210–1224 (2007).CrossRefGoogle Scholar
Kelaiaia, R., Zaatri, A. and Company, O., “Multiobjective optimization of 6-dof UPS parallel manipulators,” Adv. Robotics 26(16), 1885–1913 (2012).Google Scholar
Saravanan, R., Ramabalan, S. and Balamurugan, C., “Evolutionary optimal trajectory planning for industrial robot with payload constraints,” Int. J. Adv. Manuf. Tech. 38(11–12), 1213–1226 (2008).10.1007/s00170-007-1169-7CrossRefGoogle Scholar
Kelaiaia, R., Zaatri, A., Company, O. and Chikh, L., “Some investigations into the optimal dimensional synthesis of parallel robots,” Int. J. Adv. Manuf. Tech. 83(9–12), 1525–1538 (2016).10.1007/s00170-015-7611-3CrossRefGoogle Scholar
Wu, C., Liu, X. J., Wang, L. P. and Wang, J. S., “Optimal design of spherical 5R parallel manipulators considering the motion/force transmissibility,” J. Mech. Design. 132(3), 031002 (2010).CrossRefGoogle Scholar
Liu, X. J., Li, J. and Zhou, Y. H., “Kinematic optimal design of a 2-degree-of-freedom 3-parallelogram planar parallel manipulator,” Mech. Mach. Theory. 87, 1–17 (2015).10.1016/j.mechmachtheory.2014.12.014CrossRefGoogle Scholar
Wu, J., Gao, Y., Zhang, B. B. and Wang, L. P., “Workspace and dynamic performance evaluation of the parallel manipulators in a spray-painting equipment,” Robot. Cim-Int. Manuf. 44, 199–207 (2017).10.1016/j.rcim.2016.09.002CrossRefGoogle Scholar
Jin, Y., Bi, Z. M., Liu, H. T., Higgins, C., Price, M., Chen, W. H. and Huang, T., “Kinematic analysis and dimensional synthesis of Exechon parallel kinematic machine for large volume machining,” J. Mech. Robot. 7(4), 041004 (2015).CrossRefGoogle Scholar
Ottaviano, E. and Ceccarelli, M., “Optimal design of CaPaMan (Cassino Parallel Manipulator) with a specified orientation workspace,” Robotica 20(2), 159–166 (2002).CrossRefGoogle Scholar
Altuzarra, O., Pinto, C., Sandru, B. and Hernandez, A., “Optimal dimensioning for parallel manipulators: Workspace, dexterity, and energy,” J. Mech. Design. 133(4), 041007 (2011).CrossRefGoogle Scholar
Zhao, Y. J., “Dynamic optimum design of a 3UPS-PRU parallel robot,” Int. J. Adv. Robot. Syst. 13, (2016).Google Scholar
Zhao, Y. J., “Dynamic optimum design of a three translational degrees of freedom parallel robot while considering anisotropic property,” Robot. Cim-Int. Manuf. 29(4), 100–112 (2013).CrossRefGoogle Scholar
Gholami, M. H. and Azizi, M. R.. “Constrained grinding optimization for time, cost, and surface roughness using NSGA-II,” Int. J. Adv. Manuf. Tech. 73(5–8), 981–988 (2014).CrossRefGoogle Scholar