TY - CONF AU - Berssenbr{\"u}gge, Jan AU - Bonner, Erik ID - 28573 T2 - Proceedings of the ASME 2012 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference TI - GPU-based Local Tone Mapping in the Context of Virtual Night Driving ER - TY - CONF AU - Bensiek, Tobias AU - K{\"u}hn, Arno AU - Gausemeier, J{\"u}rgen AU - Grafe, Michael ID - 28574 T2 - Proceedings of the ASME 2012 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC/CIE 2012, Chicago, IL, USA, August 12 – 15 TI - Self-Assessment for Evaluation and Improving the Product Development Processes in SMEs ER - TY - CONF AB - When designing complex mechatronic systems, a team of developers will be facing many challenges that can impede progress and innovation if not tackled properly. In meeting them simulation tools play a central role. Yet it is often impossible for a single developer to foresee the overall impact a design decision will have on the system and on the other domains involved. For this task multi-domain simulation tools exists, but because of its complexity and the different levels of detail that are needed, the effort to specify a complete system from scratch is very high. Another challenge is the selection of the most suitable solution elements provided by the manufacturers. Currently they are often chosen manually from catalogues. The development engineer is therefore usually inclined to employ well-known solution elements and suppliers. To tackle both challenges our aim is an increase in efficiency and innovation by means of generally available solution knowledge, such as well-proven solution patterns, ready-to-use solution elements, and established simulation models [1]. Our paper presents a tool-supported, sequential design process. From the outset, the comprehensive functional capability of the designed system is supervised by means of multi-domain simulation. At significant points in the design process, solution knowledge can be accessed as it is stored in ontologies and therefore available via Semantic Web [2]. Thus, one can overcome barriers resulting from different terminologies or referential systems and furthermore infer further knowledge from the stored knowledge. The paper focuses on an early testing in the conceptual design stage and on the subsequent semantic search for suitable solution elements. After the specification of a principle solution for the mechatronic system by combining solution patterns, an initial multi-domain model of the system is created. This is done on the basis of the active structure and of idealized simulation models which are part of a free library and associated with the chosen solution patterns via the ontologies. In further designing the controlled system and its parameters with the completed model, the developer defines additional criteria to be fed into the subsequent semantic search for solution elements. Information on the latter is provided by the manufacturers as well as detailed simulation models, which are used to analyze the functional capability of the concretized system. Therefore, the corresponding idealized models are replaced automatically with the parameterized models of the solution elements containing for example the specific friction model for the chosen motor. We show this process using the concrete example of a dough-production system. In particular, we focus on its transport system. Resulting requirements for the simulation models and their level of detail are expound, as well as the architecture and benefits of the ontologies. [1] Bauer, F., Anacker, H., Gaukstern, T., Gausemeier, J., Just, V., (2011), “Analyzing the dynamic behavior of mechatronic systems within the conceptual design”, Proceedings of the 18th International Conference on Engineering Design (ICED11), 4, Copenhagen, pp. 329-336. [2] Berners-Lee, T., Hendler, J.; Lassila, O., (2001), “The Semantic Web”, Scientific American, 284(5), pp. 34–43. AU - Oesters{\"o}tebier, Felix AU - Just, Viktor AU - Tr{\"a}chtler, Ansgar AU - Bauer, Frank AU - Dziwok, Stefan ID - 28575 T2 - Proceedings of the ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis TI - Model-Based Design of Mechatronic Systems by Means of Semantic Web Ontologies and Reusable Solution Element ER - TY - CONF AU - Dumitrescu, Roman AU - Anacker, Harald AU - Bauer, Frank AU - Gausemeier, J{\"u}rgen ID - 28576 T2 - Proceedings of the ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis TI - Computer support for the identification of solution patterns for the conceptual design of advanced mechatronic systems ER - TY - CONF AU - Kokoschka, Martin AU - Gausemeier, J{\"u}rgen AU - Lehner, Markus ID - 28577 T2 - Proceedings of 18th International ICE-Conference on Engineering, Technology and Innovation TI - Development of Product Piracy Robust Products and Production Systems ER - TY - GEN ED - Kokoschka, Martin ED - Gausemeier, J{\"u}rgen ED - Lehner, Markus ID - 28578 TI - Development of Product Piracy Robust Products and Production Systems ER - TY - CONF AU - Gausemeier, J{\"u}rgen AU - Lehner, Markus AU - Peitz, Christoph AU - Grote, Anne-Christin ID - 28579 TI - Stakeholder based innovation management VL - 17 ER - TY - JOUR AU - Radkowski, Rafael AU - Wassmann, Helene ID - 28580 JF - IEEE International Conference on Intelligent Engineering Systems (INES) 2012 TI - Knowledge-based Zooming Technique for the Interactive Analysis of Mechatronic Systems ER - TY - CONF AU - Dumitrescu, Roman AU - Gaukstern, Tobias AU - J{\"u}rgenhake, Christoph AU - Gausemeier, J{\"u}rgen AU - K{\"u}hn, Arno ID - 28581 TI - Pattern-Based Integrative Design of Molded Interconnect Devices (MID) ER - TY - CONF AU - Bensiek, Tobias AU - K{\"u}hn, Arno AU - Gausemeier, J{\"u}rgen AU - Grafe, Michael ID - 28582 T2 - Proceedings of the 12th International Design Conference TI - Maturity Based Improvement of Product Development Processes in Small and Medium-Sized Enterprises ER -