Abstract
Advanced mechatronic systems with inherent partial intelligence, so-called self-optimizing systems, react autonomously and flexibly on changing environmental conditions. Such systems are capable of learning and optimizing their behavior during operation. Their principle solution represents a significant milestone because it is the result of the conceptual design as well as the basis for the concretization of the system itself, which involves experts from several domains, such as mechanics, electrical engineering/electronics, control engineering and software engineering. Today, there is no established design methodology for the design of advanced mechatronic systems. This contribution presents a new specification technique for the conceptual design of advanced mechatronic systems along with a new approach to manage the development process of such systems. We use railway technology as a complex example to demonstrate, how to use this specification technique and to what extent it facilitates the development of future mechanical engineering systems. Based on selected virtual prototypes and test beds of the RailCab we demonstrate, how VR- and AR-based approaches for a visual analysis facilitate a targeted testing of the prototypes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Gausemeier J, Frank U, Steffen D (2006) Specifying the principle solution of tomorrow’s mechanical engineering products. In: Proceedings of the 9th International Design Conference DESIGN 2006. May 15–18, Dubrovnik, Croatia
Gausemeier J, Ebbesmeyer P, Eckes R (2006) Virtual Production — Computer Model-based Planning and Analyzing of Manufacturing Systems. In: Dashchenko, A.I. (ed): Reconfigurable Manufacturing Systems and Transformable Factories, Springer
Shen Q, Grafe M, Bauch J, Radkowski R (2005) Interdisciplinary knowledge sharing in solution elements based virtual prototyping of mechatronic systems. In: Proceedings of the 9th IEEE International conference on CSCW in design, IEEE Press, Coventry, UK
Shen Q (2006) A Method for Composing Virtual Prototypes of Mechatronic Systems in Virtual Environments. Dissertation: University of Paderborn, Heinz Nixdorf Institute, HNI-Press, Paderborn
Ibrahim F, Schmidt C, Klein M (2005) Predictive Advanced Front Lighting System, In: Proceedings of the ISAL 2005 Symposium, Darmstadt University of Technology, Darmstadt, Germany
Berssenbruegge J, Bauch J, Gausemeier J (2006) A Virtual Reality-based Night Drive Simulator for the Evaluation of a Predictive Advanced Front Lighting System. In: Proceedings of the ASME 2006, Philadelphia, Pennsylvania, USA
Berssenbruegge J (2006) Virtual Night Drive — A method for Displaying the Complex Light Distribution Characteristics of Modern Headlight Systems Within a Simulated Night Drive. Dissertation: University of Paderborn, Heinz Nixdorf Institute, HNI Press, Paderborn
Gausemeier J, Radkowski R, Oehlschlaeger H, Krebs J (2005) Development of a Mobile Augmented Reality Test Platform for the Analysis and Evaluation of Automotive Ergonomics. In: Proceedings of ISMAR
Lückel J, Hestermeyer T, Liu-Henke X (2001) Generalization of the Cascade Principle in View of a Structured Form of Mechatronic Systems. IEEE/ASME AIM 2001, Villa Olmo, Como, Italy
Frank U, Giese H, Klein F, Oberschelp O, Schmidt A, Schulz B, Vöcking H, Witting K, Gausemeier J (ed) (2004) Selbstoptimierende Systeme des Maschinenbaus — Definitionen und Konzepte. HNI-Verlagsschriftenreihe, Vol. 155, Paderborn
Pahl G, Beitz W, Feldhusen J, Grote KH (2007) Engineering Design — A Systematic Approach, 3rd edition. Springer, London
Verein Deutscher Ingenieure (VDI) (2004) VDI-guideline 2206 — Design methodology for mechatronic systems. Beuth-Verlag, Berlin
Geiger C, Reckter H, Dumitrescu R, Kahl S, Berssenbrügge J (2009) A Zoomable User Interface for Presenting Hierarchical Diagrams on Large Screens. In: Proceedings of the 13th HCII, 19–24 July, San Diego
Radkowski R, Henke C (2007) Einsatz von Virtual Reality zur Untersuchung realer und simulierter mechatronischer Systeme am Beispiel der neuen Bahntechnik Paderborn. In: Proceedings of 10. IFF-Wissenschaftstage, Magdeburg
Trächtler A (2006) Railcab — mit innovativer Mechatronik zum Schienenverkehrssystem der Zukunft. In: VDE (ed) VDE Congress, Aachen
Rustemeier C, Nachtigal V (2003) RailCab — A New Modular Rail System. 4. International Conference “Trans-Mech-Art-Chem”, Moskau, Russia
Henke C, Fröhleke N, Böcker J (2006) Advanced Convoy Control Strategy for Autonomously Driven Railway Vehicles. In: Proceedings of the 9th IEEE Conference on Intelligent Transportation Systems, Toronto, Canada
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Shanghai Jiao Tong University Press, Shanghai and Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gausemeier, J., Berssenbrügge, J., Grafe, M., Kahl, S., Wassmann, H. (2011). Design and VR/AR-based Testing of Advanced Mechatronic Systems. In: Ma, D., Fan, X., Gausemeier, J., Grafe, M. (eds) Virtual Reality & Augmented Reality in Industry. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17376-9_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-17376-9_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17375-2
Online ISBN: 978-3-642-17376-9
eBook Packages: Computer ScienceComputer Science (R0)