Abstract
Analyzing the mechatronic behavior of a manufacturing cell used in a customized manufacturing process is a difficult task with numerous obstacles. Therefore, a method that can be easily used for developing and optimizing a customized manufacturing cell, i.e., universal contacting module (UCM) cell, for the in-circuit testing of electronic modules is desired. In this paper, we present a convenient method using multi-domain simulation tools for analyzing the mechatronic behavior of the UCM cell. The UCM cell, which consists of mechatronic components such as a six-axis industrial robot and conveyor systems, were successfully modeled, simulated, and validated under several payloads. This work also presents a modeling procedure that can be applied by system engineers with a basic background in control systems for analyzing the mechatronic behavior of manufacturing cell components.
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Notes
- 1.
OpenModelica is an open-source Modelica-based modeling and simulation environment developed and supported by the Open Source Modelica Consortium (OSMC) and Linköping University (LiU).
- 2.
Wolfram SystemModeler is a trademark of Wolfram Research, Inc.
- 3.
UCM is a trademark of IMAK GmbH.
- 4.
Motoman is a trademark of Yaskawa Electric Corporation.
References
Iwaarden, J., Wiele, T.: The effects of increasing product variety and shortening product life cycles on the use of quality management systems. IJQRM 29(5), 470–500 (2012)
Paryanto, Merhof, J., Brossog, M., Fischer, C.: An integrated simulation approach to the development of assembly system components. Adv. Mater. Res. 769, 19–26 (2013)
Miller, S., Pegden, D.: Introduction to manufacturing simulation. In: Winter Simulation Conference, pp. 63–66. IEEE Press, Orlando (2000)
The Modelica Association: http://www.modelica.org
Kazi, A., Merk, G., Otter, M., Fan, H.: Design optimisation of industrial robots using the modelica multi-physics modeling language. In: 33rd International Symposium on Robotics, pp. 347–352. Stockholm (2002)
Verdonck, W.: Experimental robot and payload identification with application to dynamic trajectory compensation. PhD Thesis, KU Leuven (2004)
Offodile, O.F., Ugwu, K.: Evaluating the effect of speed and payload on robot repeatability. Robot. Comput. Integr. Manuf. 8(1), 27–33 (1991)
He, Q., Li, H.: Review of dynamic modeling and simulation of large scale belt conveyor system. In: Chen, R. (ed.) ICICIS 2011. CCIS, vol. 134, pp. 167–172. Springer, Heidelberg (2011)
Franke, J., Kreitlein, S., Risch, F., Guenther, S.: Energy-efficient production strategies and technologies for electric drives. In: IEEE International Conference on Industrial Technology, pp. 1898–1903. IEEE Press, Cape Town (2013)
Chemnitz, M., Schreck, G., Krüger, J.: Analyzing energy consumption of industrial robots. In: IEEE Conference on EFTA, pp. 1–4. IEEE Press, Toulouse (2011)
Information in the Motoman Product Specification: http://www.motoman.de
Ferretti, G., Magnani, G., Rocco, P., Bonometti, L., Maraglino, M.: Simulating Permanent magnet brushless motors in DYMOLA. In: Modelica International Conference, pp. 109–115. The Modelica Association, Oberpfaffenhofen (2002)
Ziegler, J.G., Nichols, N.B.: Optimum settings for automatic controllers. J. Dyn. Syst. Meas. Control 115(2B), 220–222 (1993)
Dunkermotoren Product Specification: http://www.dunkermotoren.com
Acknowledgements
This work was partially supported by German Federal Ministry of Economics and Technology (BMWi) and German Federation of Industrial Research Associations (AiF) within the ZIM initiative.
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Paryanto, Brossog, M., Merhof, J., Franke, J. (2014). Mechatronic Behavior Analysis of a Customized Manufacturing Cell. In: Brunoe, T., Nielsen, K., Joergensen, K., Taps, S. (eds) Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014), Aalborg, Denmark, February 4th - 7th, 2014. Lecture Notes in Production Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-04271-8_33
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DOI: https://doi.org/10.1007/978-3-319-04271-8_33
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