@inproceedings{28459, author = {{Kessler, Jan Henning and Gausemeier, Jürgen and Iwanek, Peter and Köchling, Daniel and Krüger, Martin and Trächtler, Ansgar}}, title = {{{Creation of process models for the design of self-optimizing controls}}}, year = {{2013}}, } @inproceedings{28544, abstract = {{Promising product innovations in modern mechanical engineering are based on the close interaction of mechanical engineering, electrics / electronics as well as control and software technology. This is what the term mechatronics stands for. Such systems are characterized on the one hand by the fact that they can react flexibly to changes in the environment, and on the other hand that they consist of several independent sub-systems that coordinate with each other in order to achieve higher-level goals. On the one hand, this becomes clear through the increased proportions of the control components - it is primarily concerned with controlled movement behavior. On the other hand, this is made clear by the increasing proportions of software components which, among other things, have to meet the challenges of communication, especially those in real time. Although there are mutual dependencies between the two disciplines, today's design of control and software technology is highly sequential: at the beginning, the continuous components (e.g. controller) are implemented by the control technology. Only then does the software technology work out the discrete-event components (e.g. controller switchover). In this contribution an approach is presented, on the basis of which the integrated design of control and software technology becomes possible. The procedure is illustrated using a case study (cooperating delta robots). Only then does the software technology work out the discrete-event components (e.g. controller switchover). In this contribution an approach is presented, on the basis of which the integrated design of control and software technology becomes possible. The procedure is illustrated using a case study (cooperating delta robots). Only then does the software technology work out the discrete-event components (e.g. controller switchover). In this contribution an approach is presented, on the basis of which the integrated design of control and software technology becomes possible. The procedure is illustrated using a case study (cooperating delta robots). }}, author = {{Dziwok, Stefan and Just, Viktor and Schierbaum, Thomas and Schäfer, Wilhelm and Trächtler, Ansgar and Gausemeier, Jürgen and Pohlmann, Uwe and Suck, Julian and Sudmann, Oliver and Tichy, Matthias}}, pages = {{375--394}}, publisher = {{Publishing series of the Heinz Nixdorf Institute, Paderborn}}, title = {{{Integrated control and software design for complex mechatronic systems}}}, volume = {{310}}, year = {{2013}}, } @inproceedings{28542, author = {{Kreft, Sven and Gausemeier, Jürgen}}, publisher = {{publishing series of the Heinz Nixdorf Institute, Paderborn}}, title = {{{Systematic integration of geodata to create geospecific environment models for driving simulations}}}, volume = {{311}}, year = {{2013}}, } @inproceedings{28543, author = {{Gaukstern, Tobias and Dumitrescu, Roman and Jürgenhake, Christoph and Gausemeier, Jürgen}}, title = {{{A method for the design of three-dimensional injection molded circuit boards like (MID)}}}, year = {{2013}}, } @inbook{52417, author = {{Lang, Bastian and Esser, Marco and Nennmann, Thorsten and Schlüter, Alexander}}, booktitle = {{Regionale Klimaanpassung: Herausforderungen – Lösungen – Hemmnisse – Umsetzungen am Beispiel Nordhessens }}, editor = {{Rossnagel, Alexander}}, isbn = {{978-3-86219-660-9}}, publisher = {{Kassel University Press }}, title = {{{Vorausschauende Energiebereitstellung für produzierende Unternehmen }}}, year = {{2013}}, } @phdthesis{52415, author = {{Schlüter, Alexander}}, isbn = {{9783862195169}}, publisher = {{Kassel University Press }}, title = {{{Beitrag zur thermischen Energieversorgung in der Kunststoffverarbeitung - systemische Lösungen und Potenziale}}}, year = {{2013}}, } @misc{52444, author = {{Schlüter, Alexander}}, title = {{{Energieeffizienz in den Produktionsprozessen: Gas und KWK statt Strom für Prozesswärme - Kühlung aus Abwärme. Talk}}}, year = {{2013}}, } @misc{52443, author = {{Schlüter, Alexander}}, title = {{{KWK-gerechte Produktion am Beispiel der Kunststoff- und der Milchverarbeitung}}}, year = {{2013}}, } @article{52469, author = {{Schlüter, Alexander and Phillipp, Matthias and Hesselbach, Jens}}, journal = {{Maschinenmarkt}}, publisher = {{Vogel Communications Group}}, title = {{{Dezentrale Eniergieversorung Kunststoff verarbeitender Betreibe}}}, year = {{2013}}, } @proceedings{28562, editor = {{Andrich, Burkhard and Kirschfink, Franz Josef and Sachs, Helge and Peitz, Christoph and R {\ "u} bbelke, René}}, title = {{{Market and competitive strategies for {\" u } r the MRO business {\ "a} ft of the civil aviation industry}}}, volume = {{306}}, year = {{2012}}, } @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}}, }