Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-25T20:57:16.690Z Has data issue: false hasContentIssue false
  • English
  • Français

ABSTRACT PHYSICS REPRESENTATION OF A BALANCED TWO-WHEEL SCOOTER IN GRAPH-BASED DESIGN LANGUAGES

Part of: Design Methods

Published online by Cambridge University Press:  11 June 2020

M. Ramsaier ,
R. Stetter ,
M. Till  and
S. Rudolph
M. Ramsaier
Affiliation:
University of Applied Sciences Ravensburg-Weingarten, Germany
R. Stetter*
Affiliation:
University of Applied Sciences Ravensburg-Weingarten, Germany
M. Till
Affiliation:
University of Applied Sciences Ravensburg-Weingarten, Germany
S. Rudolph
Affiliation:
University of Stuttgart, Germany
*
*[email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

This paper presents a novel approach to include a holistic description of abstract physics in a digital engineering framework. Physical phenomena realize the numerous functions of technical systems and are an important link between rather abstract product functions and the concrete product geometry and material. Until now, a possibility to integrate the analysis and synthesis on this level of abstraction into a holistic engineering frameworks is not existing. The novel approach employs graph-based design languages using UML for this endeavour; the product example is a two-wheel scooter.

Keywords

design methodsdesign modelsdesign processphysical effectsgraph-based design languages
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 1057 - 1066
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

References

Alber, R. and Rudolph, S. (2004), “On a Grammar-Based Design Language That Supports Automated Design Generation and Creativity”, In: Borg, J.C., Farrugia, P.J. and Camilleri, K.P. (Eds.), Knowledge Intensive Design Technology, Springer US, Boston, MA, pp. 19–35. https://doi.org/10.1007/978-0-387-35708-9_2CrossRefGoogle Scholar
Albers, A. and Wintergerst, E. (2014), “The Contact and Channel Approach (C&C2-A): relating a system's physical structure to its functionality”, An Anthology of Theories and Models of Design: Philosophy, Approaches and Empirical Explorations, No. Kim 2010, pp. 61–72.Google Scholar
Atkin, R.H. (1965), “Abstract Physcis”, In: Il nuovo cimento, Vol. XXXVIII No. 1, pp. 496–517. https://doi.org/10.1007/bf02750478CrossRefGoogle Scholar
Cross, N. (2008), Engineering Design Methods: Strategies for Product Design, John Wiley and Sons Ltd.Google Scholar
Ehrlenspiel, K. and Meerkamm, H. (2013), “Integrierte Produktentwicklung”, Denkabläufe, Methodeneinsatz, Zusammenarbeit. Carl Hanser. https://doi.org/10.3139/9783446436275CrossRefGoogle Scholar
Eisenbart, B. et al. (2016), “A DSM-based Framework for Integrated Function Modeling: Concept, Application and Evaluation”, Research in Engineering Design, Vol. 28 No. 1, pp. 25–51. https://doi.org/10.1007/s00163-016-0228-1CrossRefGoogle Scholar
Elwert, M. et al. (2019), “Holistic Digital Function Modelling with Graph-Based Design Languages”, In: Proceedings of the Design Society: International Conference on Engineering Design, Vol. 1 No. 1, Cambridge University Press, pp. 1523–1532. https://doi.org/10.1017/dsi.2019.158Google Scholar
Fritzson, P. (2014), Principles of Object-Oriented Modeling and Simulation with Modelica 3.3: A Cyber-Physical Approach. Wiley. https://doi.org/10.1002/9781118989166CrossRefGoogle Scholar
Gero, J. and Kannengiesser, U. (2014), “The Function-Behaviour-Structure Ontology of Design”, In: Chakrabarti, A., L.T.M. Blessing: An Anthology of Theories and Models of Design. Springer. https://doi.org/10.1007/978-1-4020-5131-9_21Google Scholar
Gladysz, B., Spandl, L. and Albers, A. (2017), “A Function- and Embodiment-Based Failure Analysis Method for an In-Depth Understanding of Failure Mechanisms”, In Proceedings of the 21st International Conference on Engineering Design, ICED17, 21-25 August 2017, The University Of British Columbia, Vancouver, Canada.Google Scholar
Groß, J. (2013), “Aufbau und Einsatz von Entwurfssprachen zur Auslegung von Satelliten”, Dissertation, Institut für Statik und Dynamik der Luft- und Raumfahrtkonstruktionen, Universität Stuttgart, Stuttgart, 2013.Google Scholar
Guerineau, B. et al. (2017), “Management of Heterogeneous Information for Integrated Design of Multidisciplinary Systems”, Procedia CIRP, Vol. 60 No. 2017, pp. 320–325. https://doi.org/10.1016/j.procir.2017.02.020CrossRefGoogle Scholar
Helms, B. (2013), “Object-Oriented Graph Grammars for Computational Design Synthesis”, Diss. TU München.Google Scholar
Holder, K. et al. (2017), “Model-Based Requirements Management in Gear Systems Design Based On Graph-Based Design Languages”, In: Applied Sciences, Vol. 7, p. 1112. https://doi.org/10.3390/app7111112CrossRefGoogle Scholar
IILS mbH, Design Compiler 43 (www.iils.de), Last access: 18.11.2019Google Scholar
Lang, H. (2016), “Die methodische Integration empirischer Analysen in die frühen Phasen eines Entwicklungsprozesses”, Dissertation TU Graz.Google Scholar
Lindemann, U. (2009), Methodische Entwicklung technischer Produkte, Springer. https://doi.org/10.1007/978-3-642-01423-9CrossRefGoogle Scholar
Mathias, J. et al. (2011), “Selection of Physical Effects Based on Disturbances and Robustness Ratios in the Early Phases of Robust Design”, In: Proccedings of the International Conference on Engineering Design, Iced11, 15-18 August 2011, Technical University of Denmark.Google Scholar
Münzer, C. and Shea, K. (2015), “A Simulation-Based CDS Approach: Automated Generation of Simulation Models Based From Generated Concept Model Graphs”, Proceedings of the ASME, International Design Engineering Technical Conference & Computers and Information in Engineering Conference, Boston, MA, 2015. https://doi.org/10.1115/detc2015-47353Google Scholar
Muenzer, C. and Shea, K. (2017), “Simulation-Based Computational Design Synthesis using Automated Generation of Simulation Models from Concept Model Graphs”, Journal of Mechanical Design, Vol. 139 No. 7, p. 071101. https://doi.org/10.1115/1.4036567CrossRefGoogle Scholar
Pahl, G. et al. (2007), Engineering Design: a systematic Approach, Springer-Verlag. https://doi.org/10.1007/978-1-84628-319-2CrossRefGoogle Scholar
Ponn, J. and Lindemann, U. (2011), Konzeptentwicklung und Gestaltung technischer Produkte, Springer. https://doi.org/10.1007/978-3-540-68563-0CrossRefGoogle Scholar
Ramsaier, M. et al. (2017), “Digital representation of product functions in multicopter design”, In: Maier, A. et al. : Proceedings of the 21st International Conference on Engineering Design (ICED 17), Vol 1: Resource Sensitive Design, Design Research Applications and Case Studies, Vancouver, Canada, 21-25.08.2017, pp. 369–378. https://doi.org/10.1016/j.procir.2016.06.008CrossRefGoogle Scholar
Reichwein, A. (2011), “Application-specific UML Profiles for Multidisciplinary Product Data Integration”, Dissertation, Universität Stuttgart.Google Scholar
Rigger, E., Münzer, C. and Shea, K. (2016), Estimating the Potential of State of the Art Design Automation - Tasks, Methods, and Benefits, In: Marjanovic, D., Storga, M., Neven, G., Bojcetic, N. and Stanko, S. (Eds), Proceedings of the DESIGN 2016, 14th International Design Conference, Vol. 1, pp. 421–432.Google Scholar
Schuster, J. and Pahn, F. (2018), Entwicklung und Bau zweier konzeptionell unterschiedlicher Segways. Bachelor-Thesis Ravensburg-Weingarten University (RWU).Google Scholar
Stetter, R. (2020), Fault-Tolerant Design and Control of Automated Vehicles and Processes. Insights for the Synthesis of Intelligent Systems. Springer. https://doi.org/10.1007/978-3-030-12846-3Google Scholar
Vogel, S. (2019), “An application-independent continuum mechanics interface for virtual engineering”, Engineering with Computers, Vol. 35, pp. 551–565. https://doi.org/10.1007/s00366-018-0617-3CrossRefGoogle Scholar
Wagner, C. (2018), “Funktionsintegration im Rahmen einer fertigungsgetriebenen Produktentwicklung”, Dissertation, TU Darmstadt.Google Scholar
Walter, B., Kaiser, D. and Rudolph, S. (2019), “Machine-executable Model-based Systems Engineering with design languages”, In: Banach, R., Razavi, J., Lesecq, S., Debicki, O., Mareau, N., Foucault, J., Correvon, M. and Dudnik, G. (Eds.) Complex Systems Design & Management, Springer. https://doi.org/10.1007/978-3-030-04209-7_25Google Scholar
Wölkl, S. and Shea, K. (2009), “A Computational Product Model for Conceptual Design using SYSML”, In: Proceedings of the ASME 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC/CIE 2009, August 30-September 2, 2009, San Diego, California, USA. https://doi.org/10.1115/detc2009-87239Google Scholar
Wulf, J. (2001), “Elementarmethoden zur Lösungssuche”, Dissertation, TU Müchen. Dr. Hut, München.Google Scholar
Wünsch, F. et al. (2018), “Executable Cost-Sensitive Product Development of a Self-Balancing Two-Wheel Scooter with Graph-Based Design Languages”, In: Marjanović, D. et al. (Eds.): Proceedings of the 15th International Design Conference DESIGN 2018, Dubrovnik. https://doi.org/10.21278/idc.2018.0409CrossRefGoogle Scholar
Zech, A. et al. (2019), “Novel approach for a holistic and completely digital represented product development process by using graph-based design languages”, Procedia CIRP, Vol. 79, pp. 568–573. https://doi.org/10.1016/j.procir.2019.02.102CrossRefGoogle Scholar
Zheng, C. et al. (2017), “Multidisciplinary design methodology for mechatronic systems based on interface model”, Research in Engineering Design, Vol. 28, pp. 333–356. https://doi.org/10.1007/s00163-016-0243-2Google Scholar