TY - CHAP A1 - Ulke, Bernd T1 - Arbeitsvorbereitung und Ablaufplanung T2 - Übungsaufgaben und Berechnungen für den Baubetrieb Y1 - 2019 SN - 978-3-658-23127-9 U6 - http://dx.doi.org/10.1007/978-3-658-23127-9_6 SP - 117 EP - 154 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Krause, Thomas T1 - Baumaschinen T2 - Übungsaufgaben und Berechnungen für den Baubetrieb Y1 - 2019 SN - 978-3-658-23127-9 U6 - http://dx.doi.org/10.1007/978-3-658-23127-9_7 SP - 155 EP - 163 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Ernhardt, Selina A1 - Drumm, Christian A1 - van Gog, Tamara A1 - Brand-Gruwel, Saskia A1 - Jarodzka, Halszka T1 - Through the eyes of a programmer : a research project on how to foster programming education with eye-tracking technology T2 - Tagungsband zur 32. AKWI-Jahrestagung vom 15.09.2019 bis 18.09.2019 an der Fachhochschule für Angewandte Wissenschaften Aachen Y1 - 2019 SN - 978-3-944330-62-4 SP - 42 EP - 47 PB - Mana-Buch CY - Heide ER - TY - CHAP A1 - Finkenberger, Isabel Maria A1 - Baumeister, Eva-Maria A1 - Koch, Christian T1 - Komplement und Verstärker : Wandel durch neue Allianzen T1 - Amplifier and complement : creating change through new alliances T2 - Komplement und Verstärker : zum Verhältnis von Stadtplanung, künstlerischen Praktiken und Kulturinstitutionen Y1 - 2019 SN - 978-3-86859-578-9 SP - 10 EP - 39 PB - JOVIS Verlag CY - Berlin ER - TY - CHAP A1 - Finkenberger, Isabel Maria A1 - Baumeister, Eva-Maria A1 - Koch, Christian T1 - Komplement und Verstärker : der Diskurs geht weiter T1 - Amplifier and complement : the discourse continues T2 - Komplement und Verstärker : zum Verhältnis von Stadtplanung, künstlerischen Praktiken und Kulturinstitutionen Y1 - 2019 SN - 978-3-86859-578-9 SP - 40 EP - 49 PB - JOVIS Verlag CY - Berlin ER - TY - CHAP A1 - Finkenberger, Isabel Maria A1 - Herbert, Saskia A1 - Malorny, Thomas A1 - Koch, Christian T1 - Perforierte Wirklichkeit und mögliche Zukünfte : ein Gespräch T1 - Perforated reality and possible futures : a conversation T2 - Komplement und Verstärker : zum Verhältnis von Stadtplanung, künstlerischen Praktiken und Kulturinstitutionen Y1 - 2019 SN - 978-3-86859-578-9 SP - 108 EP - 129 PB - JOVIS Verlag CY - Berlin ER - TY - CHAP A1 - Finkenberger, Isabel Maria A1 - Baumeister, Eva-Maria A1 - Koch, Christian T1 - Themen T1 - Topics T2 - Komplement und Verstärker: zum Verhältnis von Stadtplanung, künstlerischen Praktiken und Kulturinstitutionen Y1 - 2019 SN - 978-3-86859-578-9 SP - 50 EP - 57 PB - JOVIS Verlag CY - Berlin ER - TY - CHAP A1 - Leise, Philipp A1 - Altherr, Lena A1 - Simon, Nicolai A1 - Pelz, Peter F. T1 - Finding global-optimal gearbox designs for battery electric vehicles T2 - Optimization of complex systems - theory, models, algorithms and applications : WCGO 2019 N2 - In order to maximize the possible travel distance of battery electric vehicles with one battery charge, it is mandatory to adjust all components of the powertrain carefully to each other. While current vehicle designs mostly simplify the powertrain rigorously and use an electric motor in combination with a gearbox with only one fixed transmission ratio, the use of multi-gear systems has great potential. First, a multi-speed system is able to improve the overall energy efficiency. Secondly, it is able to reduce the maximum momentum and therefore to reduce the maximum current provided by the traction battery, which results in a longer battery lifetime. In this paper, we present a systematic way to generate multi-gear gearbox designs that—combined with a certain electric motor—lead to the most efficient fulfillment of predefined load scenarios and are at the same time robust to uncertainties in the load. Therefore, we model the electric motor and the gearbox within a Mixed-Integer Nonlinear Program, and optimize the efficiency of the mechanical parts of the powertrain. By combining this mathematical optimization program with an unsupervised machine learning algorithm, we are able to derive global-optimal gearbox designs for practically relevant momentum and speed requirements. KW - Powertrain KW - Gearbox KW - Optimization KW - BEV KW - WLTP Y1 - 2019 SN - 978-3-030-21802-7 U6 - http://dx.doi.org/10.1007/978-3-030-21803-4_91 SP - 916 EP - 925 PB - Springer CY - Cham ER - TY - CHAP A1 - Stenger, David A1 - Altherr, Lena A1 - Abel, Dirk T1 - Machine learning and metaheuristics for black-box optimization of product families: a case-study investigating solution quality vs. computational overhead T2 - Operations Research Proceedings 2018 N2 - In product development, numerous design decisions have to be made. Multi-domain virtual prototyping provides a variety of tools to assess technical feasibility of design options, however often requires substantial computational effort for just a single evaluation. A special challenge is therefore the optimal design of product families, which consist of a group of products derived from a common platform. Finding an optimal platform configuration (stating what is shared and what is individually designed for each product) and an optimal design of all products simultaneously leads to a mixed-integer nonlinear black-box optimization model. We present an optimization approach based on metamodels and a metaheuristic. To increase computational efficiency and solution quality, we compare different types of Gaussian process regression metamodels adapted from the domain of machine learning, and combine them with a genetic algorithm. We illustrate our approach on the example of a product family of electrical drives, and investigate the trade-off between solution quality and computational overhead. KW - Product family optimization KW - Mixed-integer nonlinear black-box optimization KW - Engineering optimization KW - Machine learning Y1 - 2019 SN - 978-3-030-18499-5 (Print) SN - 978-3-030-18500-8 (Online) U6 - http://dx.doi.org/10.1007/978-3-030-18500-8_47 SP - 379 EP - 385 PB - Springer CY - Cham ER - TY - CHAP A1 - Kurz, Melanie T1 - Betrifft Design : von historischen Zukunftsperspektiven zu gegenwärtigen Vergangenheitssehnsüchten T2 - Positionen des Neuen : Zukunft im Design Y1 - 2019 SN - 978-3-89986-301-7 SP - 136 EP - 144 PB - avedition CY - Stuttgart ER -