TY - CHAP A1 - Bosse, Elke A1 - Barnat, Miriam ED - Jenert, Tobias ED - Reinmann, Gabi ED - Schmohl, Tobias T1 - Kombination quantitativer und qualitativer Methoden zur Untersuchung der Studieneingangsphase T2 - Hochschulbildungsforschung. Theoretische, methodologische und methodische Denkanstöße für die Hochschuldidaktik Y1 - 2019 SN - 978-3-658-20308-5 SP - 169 EP - 184 PB - Springer VS CY - Wiesbaden ER - TY - CHAP A1 - Bouvy, C. A1 - Kuperjans, Isabel T1 - Mikro-Gasturbinen : eine neue Technologie zur Kraft-Wärme-Kopplung in kleinen und mittleren Unternehmen T2 - Entwicklungslinien der Energietechnik 2004 Y1 - 2004 N1 - Themengebiet Rationelle Energieverwendung PB - VDI-Verlag CY - Düsseldorf ET - CD-ROM-Ausg. ER - TY - CHAP A1 - Bozakov, Zdravko A1 - Sander, Volker T1 - OpenFlow: A Perspective for Building Versatile Networks T2 - Network-Embedded Management and Applications Y1 - 2013 SN - 978-1-4419-6769-5 U6 - http://dx.doi.org/10.1007/978-1-4419-6769-5_11 SP - 217 EP - 245 PB - Springer CY - New York, NY ER - TY - CHAP A1 - Brandt, D. A1 - Güsken, J. A1 - Büchen, W. A1 - [u.a.], A1 - Wahle, Michael T1 - Konstruieren mit Aluminium [Kapitel 4] T2 - Aluminium-Taschenbuch / Hrsg.: Aluminium-Zentrale Düsseldorf. - Bd. 3: Weiterverarbeitung und Anwendung Y1 - 1997 SN - 3-87017-243-6 SP - 359 EP - 544 PB - Aluminium-Verlag CY - Düsseldorf ET - 15. Auflage ER - TY - CHAP A1 - Braun, Carsten A1 - Boucke, Alexander A1 - Ballmann, Josef T1 - Numerical study of the influence of dynamic pressure and deflected ailerons on the deformation of a high speed wing model T2 - High performance computing in science and engineering '04. Transactions of the High Performance Computing Center Stuttgart (HLRS) 2004 / Eds.: Egon Krause ... Y1 - 2005 SN - 3-540-22943-4 SP - 225 EP - 236 PB - Springer CY - Berlin ER - TY - CHAP A1 - Braun, Carsten A1 - Boucke, Alexander A1 - Hanke, M. A1 - Karavas, Alexandros A1 - Ballmann, Josef T1 - Prediction of the model deformation of a high speed transport aircraft type wing by direct aeroelastic simulation T2 - High performance computing in science and engineering '03. Transactions of the High Performance Computing Center Stuttgart (HLRS) 2003 / Eds.: Egon Krause ... Y1 - 2003 SN - 978-3-540-40850-5 SP - 331 EP - 342 PB - Springer CY - Berlin ER - TY - CHAP A1 - Brauner, Philipp A1 - Vervier, Luisa A1 - Brillowski, Florian A1 - Dammers, Hannah A1 - Steuer-Dankert, Linda A1 - Schneider, Sebastian A1 - Baier, Ralph A1 - Ziefle, Martina A1 - Gries, Thomas A1 - Leicht-Scholten, Carmen A1 - Mertens, Alexander A1 - Nagel, Saskia K. T1 - Organization Routines in Next Generation Manufacturing T2 - Forecasting Next Generation Manufacturing N2 - Next Generation Manufacturing promises significant improvements in performance, productivity, and value creation. In addition to the desired and projected improvements regarding the planning, production, and usage cycles of products, this digital transformation will have a huge impact on work, workers, and workplace design. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of these changes, we conducted a technology foresight study, in the form of a real-time Delphi analysis, to derive reliable future scenarios featuring the next generation of manufacturing systems. This chapter presents the organization dimension and describes each projection in detail, offering current case study examples and discussing related research, as well as implications for policy makers and firms. Specifically, we highlight seven areas in which the digital transformation of production will change how we work, how we organize the work within a company, how we evaluate these changes, and how employment and labor rights will be affected across company boundaries. The experts are unsure whether the use of collaborative robots in factories will replace traditional robots by 2030. They believe that the use of hybrid intelligence will supplement human decision-making processes in production environments. Furthermore, they predict that artificial intelligence will lead to changes in management processes, leadership, and the elimination of hierarchies. However, to ensure that social and normative aspects are incorporated into the AI algorithms, restricting measurement of individual performance will be necessary. Additionally, AI-based decision support can significantly contribute toward new, socially accepted modes of leadership. Finally, the experts believe that there will be a reduction in the workforce by the year 2030. Y1 - 2022 SN - 978-3-031-07734-0 U6 - http://dx.doi.org/10.1007/978-3-031-07734-0_5 SP - 75 EP - 94 PB - Springer CY - Cham ER - TY - CHAP A1 - Britten, G. A1 - Braun, Carsten A1 - Hesse, M. A1 - Ballmann, Josef T1 - Computational aeroelasticity with reduced structural models T2 - Flow modulation and fluid-structure interaction at airplane wings : research results of the Collaborative Research Center SFB 401 at RWTH Aachen, University of Technology, Aachen, Germany / Josef Ballmann (Ed.) Notes on numerical fluid mechanics and multidisciplinary design. Vol. 84 Y1 - 2003 SN - 3-540-40209-8 SP - 275 EP - 299 PB - Springer CY - Berlin ER - TY - CHAP A1 - Buda, Aurel A1 - Schürmann, Volker A1 - Wollert, Jörg T1 - Wireless technologies in factory automation T2 - Factory automation / ed. by Javier Silvestre-Blanes Y1 - 2010 SN - 978-953-7619-42-8 SP - 29 EP - 50 PB - Intech CY - London ER - TY - CHAP A1 - Bung, Daniel B. ED - Rowinski, Pawel T1 - Laboratory models of free-surface flows T2 - Rivers - physical, fluvial and environmental processes N2 - Hydraulic modeling is the classical approach to investigate and describe complex fluid motion. Many empirical formulas in the literature used for the hydraulic design of river training measures and structures have been developed using experimental data from the laboratory. Although computer capacities have increased to a high level which allows to run complex numerical simulations on standard workstation nowadays, non-standard design of structures may still raise the need to perform physical model investigations. These investigations deliver insight into details of flow patterns and the effect of varying boundary conditions. Data from hydraulic model tests may be used for calibration of numerical models as well. As the field of hydraulic modeling is very complex, this chapter intends to give a short overview on capacities and limits of hydraulic modeling in regard to river flows and hydraulic structures only. The reader shall get a first idea of modeling principles and basic considerations. More detailed information can be found in the references. KW - Physical modeling KW - Similitude KW - Open channels KW - Hydraulic structures Y1 - 2015 SN - 978-3-319-17718-2 ; 978-3-319-17719-9 U6 - http://dx.doi.org/10.1007/978-3-319-17719-9_9 SP - 213 EP - 228 PB - Springer CY - Cham ER -