Abstract
In order to determine valid production results in the area of NC-based tooling machine, complex simulation tools are used. The challenge is the calculation of the material removal, tool paths as well as valid setup positions of workpiece and periphery which leads mostly to high computational time. The descent of the computational effort includes a high portion of systems engineering. This contribution shows a theoretical concept to substitute complex simulation models by calculation models which observes the inverse kinematic behavior of the machine in combination with a NC-parser which estimates valid workpiece positions. The contribution compares model approaches of inverse kinematic problems considering 5 axis tooling machine to determine valid setup positions and minimize theoretical calculation effort.
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Notes
- 1.
As role model it was used the 5-axis tooling machine “DMU 50” designed by Mori Seiki AG, Germany.
References
Reisch, R.-E., Weber, J., Laroque, C., Schröder, C.: Asynchronous optimization techniques for distributed computing applications. In: Tolk, A., Padilla, J.J., Jafar, S. (eds.) Spring Simulation Multi Conference 2015 Proceedings, 48th Annual Simulation Symposium, Alexandria, Virginia, vol. 47. No. 2, pp. 49–57. Institute of Electrical and Electronics Engineers, Inc. (2015)
Weber, J.: A technical approach of a simulation-based optimization platform for setup-preparation via virtual tooling by testing the optimization of zero point positions in CNC-applications. In: Yilmaz, L., Chan, W.K.V., Moon, I., Roeder, T.M.K., Macal, C., Rossetti, M.D. (eds.) Proceedings of 2015 Winter Simulation Conference, Huntington Beach, CA, USA (2015)
Weber, J., Mueß, A., Dangelmaier, W.: A simulation based optimization approach for setting-up CNC machines. In: Doerner, K.F., Ljubic, I., Pflug, G., Tragler, G. (eds.) Operations Research Proceedings 2015. ORP, pp. 445–451. Springer, Cham (2017). doi:10.1007/978-3-319-42902-1_60
Mueß, A., Weber, J., Reisch, R.-R., Jurke, B.: Implementation and comparison of cluster-based PSO extensions in hybrid settings with efficient approximation. In: Niggemann, O., Beyerer, J. (eds.) Machine Learning for Cyber Physical Systems – Selected Papers from the international Conference ML4CPS 2015 – Technologien für die intelligente Automation, Lemgo, Germany, vol. 1, pp. 87–93. Springer, Heidelberg (2015)
Laroque, C., Weber, J., Reisch, R.-R., Schröder, C.: Ein Verfahren zur simulationsgestützten Optimierung von Einrichtungsparametern an Werkzeugmaschinen in Cloud-Umgebungen. In: Nissen, V., Stelzer, S., Straßburger, S., Firscher, D. (eds.) Proceedings of the Multikonferenz Wirtschaftsinformatik (MKWI) 2016, vol 3, Ilmenau, Germany, pp. 1761–1772. Monsenstein und Vannerdat OHG, Universitätsverlag Ilmenau (2016)
Weber, W.: Industrieroboter: Methoden der Steuerung und Regelung. Fachbuchverlag, Carl-Hanser-Verlag, Leipzig, Germany (2009)
Wenz, M.: Automatische Konfiguration der Bewegungssteuerung von Industrierobotern. Logos Verlag, Berlin, Germany (2008)
Siciliano, B., Khatib, O.: Handbook of Robotics. Springer, Heidelberg (2008)
Sieger, H.-J., Bocionek, S.: Robotik: Programmierung Intelligenter Roboter. Springer, Heidelberg (1996)
Husty, M., Karger, A., Sachs, H., Steinhilper, W.: Kinematik und Robotik. Springer, Heidelberg (1997)
Selig, J.M.: Geometric Fundamentale of Robotics, 2nd edn. Springer, Heidelberg (2005)
Acknowledgments
We thank Silas Lummer for the model preparation and his support to execute the tests and experiments.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Weber, J. (2017). Theoretical Concept of Inverse Kinematic Models to Determine Valid Work Areas Using Target Coordinates from NC-Programs. In: Jung, J., Kim, P. (eds) Big Data Technologies and Applications. BDTA 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 194. Springer, Cham. https://doi.org/10.1007/978-3-319-58967-1_11
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DOI: https://doi.org/10.1007/978-3-319-58967-1_11
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