@proceedings{28563,
  editor       = {{Wall, Marina  and Gausemeier, J {\ "u} rgen and Peitz, Christoph}},
  publisher    = {{publishing series of the Heinz Nixdorf Institute, Paderborn}},
  title        = {{{Technology push-oriented product planning}}},
  volume       = {{306}},
  year         = {{2012}},
}

@proceedings{28564,
  editor       = {{Gausemeier, J {\ "u} rgen}},
  publisher    = {{Publishing series of the Heinz Nixdorf Institute, Paderborn}}},
  title        = {{{Foresight and technology planning . 8th Symposium for {\" u} r foresight and technology planning }}},
  volume       = {{306}},
  year         = {{2012}},
}

@inproceedings{28565,
  author       = {{Anacker,  Harald and Gausemeier, J{\"u}rgen and Dumitrescu, Roman and Dziwok, Stefan and Sch{\"a}fer, Wilhelm}},
  booktitle    = {{Proceedings of the 9th France-Japan / 7th Europe-Asia Congress 13th International Workshop on Research and Education in Mechatronics (MECATRONICS-REM 2012)}},
  pages        = {{101--108}},
  title        = {{{Solution Patterns of Software Engineering for the System Design of Advanced Mechatronic Systems}}},
  year         = {{2012}},
}

@inproceedings{28566,
  author       = {{Oesters{\"o}tebier, Felix and Dziwok, Stefan and Bauer, Frank  and Tr{\"a}chtler, Ansgar  and Sch{\"a}fer, Wilhelm and Gausemeier, J{\"u}rgen}},
  publisher    = {{Carl Hanser Verlag, M{\"u}nchen}},
  title        = {{{Unterst{\"u}tzung des mechatronischen Entwurfs durch die effektive Suche nach L{\"o}sungselementen mithilfe von semantischen Technologien}}},
  year         = {{2012}},
}

@inproceedings{28567,
  author       = {{Bauer, Frank  and Gausemeier, J{\"u}rgen and K{\"o}chling,  Daniel and Oesters{\"o}tebier, Felix}},
  publisher    = {{Carl Hanser Verlag, M{\"u}nchen}},
  title        = {{{Simulative Absicherung mechatronischer Systeme in der fr{\"u}hen Phase der Produktentstehung}}},
  year         = {{2012}},
}

@inproceedings{28570,
  abstract     = {{In this paper, a comprehensive framework for the computer-aided planning and optimisation of process chains for functional graded components is presented. The framework is divided into three modules – the component description, the expert system, and the modelling and process chain optimisation. The component description module enhances a standard CAD model by a voxel-based representation of the graded properties. It allows the target properties to be defined. The expert system proposes process chains capable of producing components according to the requirements of the enhanced CAD model. They usually consist of a sequence of heating, forming, and cooling processes. The dependencies between the applied manufacturing processes need to be considered. Therefore, the robustness of the property distributions achieved in a process step with respect to variations in the input properties is analysed in the third module, in which the process chains are optimised. A method to accomplish this task by performing a model-based sensitivity analysis and subsequent Monte-Carlo simulations of the important parameters is proposed in this paper. The applicability of the method is shown for a thermo-mechanically coupled compression moulding process.
}},
  author       = {{Biermann, Dirk and Gausemeier, J{\"u}rgen and Heim,  Hans-Peter and Hess, Stefan and Petersen, Marcus and Ries,  Angela and  Wagner,  T}},
  editor       = {{Heim, Hans-Peter  and Biermann, Dirk and Maier, Hans J{\"u}rgen}},
  isbn         = {{978-3-942267-58-8}},
  pages        = {{195--200}},
  publisher    = {{Verlag Wissenschaftliche Scripten}},
  title        = {{{Computer-Aided Planning and Optimisation of Manufacturing Processes for Functional Graded Components}}},
  year         = {{2012}},
}

@inproceedings{28572,
  author       = {{Gausemeier,  J{\"u}rgen  and Tschirner,  Christian and Va{\ss}holz, Mareen}},
  title        = {{{Systems Thinking: Sensitizing for Systems Engineering - Experiences from academic teaching and industry workshops}}},
  year         = {{2012}},
}

@inproceedings{28573,
  author       = {{Berssenbr{\"u}gge, Jan and Bonner,  Erik}},
  booktitle    = {{Proceedings of the ASME 2012 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference}},
  title        = {{{GPU-based Local Tone Mapping in the Context of Virtual Night Driving}}},
  year         = {{2012}},
}

@inproceedings{28574,
  author       = {{Bensiek, Tobias and K{\"u}hn, Arno  and Gausemeier, J{\"u}rgen and Grafe, Michael}},
  booktitle    = {{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}},
  title        = {{{Self-Assessment for Evaluation and Improving the Product Development Processes in SMEs}}},
  year         = {{2012}},
}

@inproceedings{28575,
  abstract     = {{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.
}},
  author       = {{Oesters{\"o}tebier, Felix and Just, Viktor  and Tr{\"a}chtler, Ansgar and Bauer, Frank  and Dziwok, Stefan}},
  booktitle    = {{Proceedings of the ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis}},
  pages        = {{647----656}},
  publisher    = {{ASME}},
  title        = {{{Model-Based Design of Mechatronic Systems by Means of Semantic Web Ontologies and Reusable Solution Element}}},
  year         = {{2012}},
}

@inproceedings{28576,
  author       = {{Dumitrescu, Roman and Anacker, Harald  and Bauer, Frank and Gausemeier, J{\"u}rgen}},
  booktitle    = {{Proceedings of the ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis}},
  publisher    = {{ASME}},
  title        = {{{Computer support for the identification of solution patterns for the conceptual design of advanced mechatronic systems}}},
  year         = {{2012}},
}

@inproceedings{28577,
  author       = {{Kokoschka, Martin and Gausemeier, J{\"u}rgen and Lehner,  Markus}},
  booktitle    = {{Proceedings of 18th International ICE-Conference on Engineering, Technology and Innovation }},
  title        = {{{Development of Product Piracy Robust Products and Production Systems}}},
  year         = {{2012}},
}

@proceedings{28578,
  editor       = {{Kokoschka, Martin  and Gausemeier, J{\"u}rgen and Lehner, Markus}},
  title        = {{{Development of Product Piracy Robust Products and Production Systems}}},
  year         = {{2012}},
}

@inproceedings{28579,
  author       = {{Gausemeier, J{\"u}rgen and Lehner, Markus and Peitz, Christoph and Grote, Anne-Christin}},
  publisher    = {{International Society for Professional Innovation Management (ISPIM)}},
  title        = {{{Stakeholder based innovation management}}},
  volume       = {{17}},
  year         = {{2012}},
}

@article{28580,
  author       = {{Radkowski, Rafael and Wassmann, Helene}},
  journal      = {{IEEE International Conference on Intelligent Engineering Systems (INES) 2012}},
  title        = {{{Knowledge-based Zooming Technique for the Interactive Analysis of Mechatronic Systems}}},
  year         = {{2012}},
}

@inproceedings{28581,
  author       = {{Dumitrescu, Roman and Gaukstern, Tobias and J{\"u}rgenhake, Christoph  and Gausemeier, J{\"u}rgen  and K{\"u}hn,  Arno}},
  title        = {{{Pattern-Based Integrative Design of Molded Interconnect Devices (MID)}}},
  year         = {{2012}},
}

@inproceedings{28582,
  author       = {{Bensiek, Tobias  and  K{\"u}hn, Arno  and Gausemeier, J{\"u}rgen and Grafe, Michael}},
  booktitle    = {{Proceedings of the 12th International Design Conference}},
  title        = {{{Maturity Based Improvement of Product Development Processes in Small and Medium-Sized Enterprises}}},
  year         = {{2012}},
}

@article{28583,
  author       = {{Klemp, Eric  and Wall, Marina}},
  journal      = {{Digital Engineering Magazin}},
  title        = {{{The production of tomorrow - additive manufacturing processes in industrial use}}},
  volume       = {{4/12}},
  year         = {{2012}},
}

@book{28584,
  editor       = {{Gausemeier, J {\ "u} rgen and Lanza, Gisela and Lindemann, Udo}},
  publisher    = {{Carl Hanser Verlag, M {\ "u} nchen}},
  title        = {{{Developing products and production systems integratively - modeling and analysis in the early days Phase of product creation}}},
  year         = {{2012}},
}

@article{28585,
  author       = {{Gausemeier, J{\"u}rgen  and Echterhoff, Niklas and Kokoschka, Martin and Wall, Marina}},
  journal      = {{Fraunhofer Direct Digital Manufacturing Conference 2012}},
  title        = {{{Thinking ahead the Future of Additive Manufacturing – Scenario-based Matching of Technology Push and Market Pull}}},
  year         = {{2012}},
}