Virtual Commissioning of a Robotic Cell Prior to its Implementation Into a Real Flexible Production System.

Roman Ružarovský; Radovan Holubek; Daynier Rolando Delgado Sobrino

doi:10.2478/rput-2018-0011

Abstract

With the rise of the Industry 4.0 and the digitization increase in the field of design of the automated devices and systems, raises the requirements to digitize all stages of the design processes, including Virtual Commissioning. This technology allows to verify the functionality of the device and/or systems, generate OLP programs for robots and test the functionality of the PLC code on the virtual model. The article presents research into the possibility of implementing a robotic cell into a real flexible production system in the Laboratory in order to eliminate defective products after an automatic control through the Quality-handling station. This technology was verified on the basis of a methodology through a virtual system model and a virtual control system in the Software-in-Loop using the Siemens Tecnomatix Process Simulate software.

References

1. SHAHIM, N., MØLLER, CH. 2016. Economic Justification of Virtual Commissioning in Automation Industry. Proc. of the 2016 Winter Sim. Conf., pp. 2430-244110.1109/WSC.2016.7822282
Search in Google Scholar Back to article
2. REINHART, G., WÜNSCH, G. 2007. Economic application of virtual commissioning to mechatronic. Prod. Eng. – Res. and Devel., 1(4), pp. 371–379.
Search in Google Scholar Back to article
3. LIU, Z., DIETRICH, C., SUCHOLD, N. 2012. Virtual Commissioning of Automated Systems. INTECH Open Access Publisher.10.5772/45730
Search in Google Scholar Back to article
4. KIEFER, J., BORUTTA, H. 2010. Virtuelle Inbetriebnahme im Rohbau Werk Wörth. (Virtual Commissioning in the Wörth plant bodyshop) 6. Fachkongress Digitale Fabrik@Produktion. Fulda.
Search in Google Scholar Back to article
5. HINCAPIÉ, M. et al. 2014. Mixing real and virtual components in automated manufacturing systems using PLM tools. Int.r. J. on Int.Des. and Man.(IJIDeM),8(3), pp. 209-230.10.1007/s12008-014-0206-7
Search in Google Scholar Back to article
6. REINHART, G., WÜNSCH, G. 2007. Economic application of virtual commissioning to mechatronic production systems. Production Engineering, 1(4), pp. 371-379.10.1007/s11740-007-0066-0
Search in Google Scholar Back to article
7. DAHL. M. et al. 2017. Automatic modelling and simulation of robot program behavior in integrated virtual preparation and commissioning. Proc. Manuf., 11, pp. 284-291.10.1016/j.promfg.2017.07.107
Search in Google Scholar Back to article
8. LEE, C. G., PARK, S. C. 2014. Survey on the virtual commissioning of manufacturing systems, J. Comput. Des. Eng., 1(3), pp. 213–222.10.7315/JCDE.2014.021
Search in Google Scholar Back to article
9. DAMRATH, F., STRAHILOV, A., BÄR, T., VIELHABER, M. 2014. Establishing Energy Efficiency as Criterion for Virtual Commissioning of Automated Assembly Systems. Procedia CIRP, 23, 137-142.10.1016/j.procir.2014.10.082
Search in Google Scholar Back to article
10. DAHL, M. et al. 2016. Integrated Virtual Preparation and Commissioning: supporting formal methods during automation systems development. IFAC-PapersOnLine,49(12), pp. 1939-1944.10.1016/j.ifacol.2016.07.914
Search in Google Scholar Back to article
11. DAHL, M. et al. 2017. Sequence Planner: Supporting Integrated Virtual Preparation and Commissioning. IFAC-PapersOnLine,50(1), pp. 5818-5823.10.1016/j.ifacol.2017.08.536
Search in Google Scholar Back to article
12. MAKRIS, S., MICHALOS, G., CHRYSSOLOURIS, G. 2012. Virtual Commissioning of an Assembly Cell with Cooperating Robots. Advances in Decision Sciences.10.1155/2012/428060
Search in Google Scholar Back to article
13. DUMITRAȘCU, A., NAE, L., PREDINCEA, N. 2014. Virtual Commissioning as a Final Step in Digital Validation of the Robotic Manufacturing Systems. Proc. in Manuf. Sys., 9(4), pp. 215-220.
Search in Google Scholar Back to article
14. HALMSJÖ, J., FÄLT, J. 2016. Emulation of a production cell. Developing a Virtual Commissioning model in a concurrent environment. Chalmers University of Technology, Gothenburg, Sweden.
Search in Google Scholar Back to article
15. VERMAAK, H.J., NIEMANN, J.A. 2015. Validating a reconfigurable assembly system utilizing virtual commissioning. Central University of Technology, Free State, Bloemfontein: Interim : Interdisciplinary Journal,14(1).10.1109/RoboMech.2015.7359532
Search in Google Scholar Back to article
16. DAMRATH, F., STRAHILOV, A., BÄR, T., VIELHABER, M. 2015. Experimental Validation of a Physics-based Simulation Approach for Pneumatic Components for Production Systems in the Automotive Industry. Procedia CIRP, 31, pp. 35-40.10.1016/j.procir.2015.03.078
Search in Google Scholar Back to article
17. RUŽAROVSKÝ, R., DELGADO SOBRINO, D.R., HOLUBEK, R., KOŠŤÁL, P. 2014. Automated in-process inspection method in the Flexible production system iCIM 3000. Applied Mechanics and Materials, 693. pp. 50-55.10.4028/www.scientific.net/AMM.693.50
Search in Google Scholar Back to article
18. SÜSS, S. et al. 2016. Standardized Classification and Interfaces of complex Behaviour Models in Virtual Commissioning. Procedia CIRP,52, pp. 24-29.10.1016/j.procir.2016.07.049
Search in Google Scholar Back to article
19. KOREN, Y. et al. 1999. Reconfigurable manufacturing systems. CIRP Annals - Manufacturing Technology, 48(2), pp. 527-540.10.1016/S0007-8506(07)63232-6
Search in Google Scholar Back to article
20. KO, M., AHN, E., PARK, S.C. 2013. A concurrent design methodology of a production system for virtual commissioning. Con. Eng.: Res. and App.,21(2), pp. 129–140.10.1177/1063293X13476070
Search in Google Scholar Back to article
21. KO, M., PARK, S.C. 2014. Template-based modelling methodology of a virtual plant for virtual commissioning. Con. Eng.: Res. and App.,22(3), pp. 197–205.10.1177/1063293X14531423
Search in Google Scholar Back to article
22. HOFFMANN, P., MAKSOUD, T.M.A. 2010. Virtual Commissioning of Manufacturing Systems - A Review and New Approaches to Simplification. Proceedings of the 24th European Conference on Modelling and Simulation (ECMS 2010), pp. 175-181.10.7148/2010-0175-0181
Search in Google Scholar Back to article
23. HOLUBEK, R., DELGADO SOBRINO, D.R., KOŠŤÁL, P., RUŽAROVSKÝ, R., VELÍŠEK, K. 2017. Using Virtual Reality tools to support simulations of manufacturing instances in Process Simulate: The case of an iCIM 3000 system. MATEC Web of Conferences, 137.10.1051/matecconf/201713704004
Search in Google Scholar Back to article
24. HOLUBEK, R., RUŽAROVSKÝ, R., DELGADO SOBRINO, D.R., KOŠŤÁL, P., ŠVORC, A., VELÍŠEK, K. 2017. Novel trends in the assembly process as the results of the human–industrial robot collaboration. MATEC Web of Conferences, 137.10.1051/matecconf/201713704005
Search in Google Scholar Back to article

Virtual Commissioning of a Robotic Cell Prior to its Implementation Into a Real Flexible Production System.

Abstract

Paradigm

My account