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Monitoring the parameters of the robot-operated quality control process

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EN
Abstrakty
EN
The robotic test stations of the considered design, operated at industrial plants, must first perform the processes and tasks they have been intended for as required by manufacturing cost reduction. It is important that these processes are completed at minimum power consumption. The paper presents the process of system parameter selection for minimised power consumption with the example of an actual robotic test stand built for manufacturing quality control of stators. The developed solutions were tested on a real-life object and deployed on the measurement test stand.
Twórcy
autor
  • The Faculty of Mechanical Engineering and Aeronautics, Department of Applied Mechanics and Robotics, Rzeszow University of Technology, 8 Powstancow Warszawy St., 35-959 Rzeszów, Poland
autor
  • The Faculty of Mechanical Engineering and Aeronautics, Department of Applied Mechanics and Robotics, Rzeszow University of Technology, 8 Powstancow Warszawy St., 35-959 Rzeszów, Poland
autor
  • The Faculty of Mechanical Engineering and Aeronautics, Department of Applied Mechanics and Robotics, Rzeszow University of Technology, 8 Powstancow Warszawy St., 35-959 Rzeszów, Poland
  • The Faculty of Mechanical Engineering and Aeronautics, Department of Applied Mechanics and Robotics, Rzeszow University of Technology, 8 Powstancow Warszawy St., 35-959 Rzeszów, Poland
autor
  • Pratt&Whitney Reszow S.A., Hetmanska 120, 35-078 Rzeszów, Poland
Bibliografia
  • 1. Edmonds S., Lindberg R., Energy optimisation of an industrial robot using iterative dynamic programming, Department of Signals and Systems Division of Automatic Control, Automation and Mechatronics Chalmers University Of Technology Gothenburg, Sweden, 2014.
  • 2. Field G., Stepanenko Y., Iterative dynamic programming: an approach to minimum energy trajectory planning for robotic manipulators. vol. 3 (1996), 2755–2760.
  • 3. Kaczmarek W., Minda Ł., Panasiuk J., Projekt interfejsu operatora dla zrobotyzowanego procesu spawania, Mechanik 7 (2015), 367–376.
  • 4. Kyriakopoulos, Konstantinos J., George N. Saridis., Minimum jerk path generation. In Robotics and Automation, 1988. Proceedings., 1988 IEEE International Conference on, IEEE, 364–369.
  • 5. Nilsson, Klas. Industrial robot programming. Diss. Lund University, 1996.
  • 6. Pan X., Chen Y., Yan L. Research of Multi-robot Cooperation Simulation and Monitoring System Based on Java. In: 2006 6th World Congress on Intelligent Control and Automation, 2006.
  • 7. Wang L. Collaborative robot monitoring and control for enhanced sustainability. The International Journal of Advanced Manufacturing Technology, 81(9-12), 2015, 1433–1445.
  • 8. Wu B., Zhou B.H., Xi L.F. Remote multi-robot monitoring and control system based on MMS and web services. Industrial robot: an international journal 34(3), 2007, 225–239.
  • 9. Zieliński J., Słowikowski M., Puchalski S., Pilat Z. Możliwości realizacji inteligentnego nadzoru instalacji spawalniczych z wykorzystaniem rozwiązań ICT oraz serwisów WEB 2.0.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fcdb4794-4f93-4264-97f9-c9ca39cef406
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