Refine
Year of publication
- 2020 (55) (remove)
Document Type
- Conference Proceeding (55) (remove)
Keywords
- Adjacent buildings (2)
- Historical centres (2)
- MINLP (2)
- Shake table test (2)
- Stone masonry (2)
- Acceptance (1)
- Additive manufacturing (1)
- Blind prediction competition (1)
- Bumblebees (1)
- Capacity Building Higher Education (1)
- Capacity Curve (1)
- Case study (1)
- Cooling system (1)
- Digitalization (1)
- Efficiency optimization (1)
- Engineering optimisation (1)
- Engineering optimization (1)
- Ethics (1)
- European Framework and South East Asia (1)
- Experimental validation (1)
Institute
- Fachbereich Energietechnik (16)
- Fachbereich Elektrotechnik und Informationstechnik (13)
- Fachbereich Luft- und Raumfahrttechnik (11)
- ECSM European Center for Sustainable Mobility (8)
- Solar-Institut Jülich (8)
- Fachbereich Maschinenbau und Mechatronik (6)
- Fachbereich Medizintechnik und Technomathematik (4)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (3)
- Fachbereich Bauingenieurwesen (2)
- Fachbereich Wirtschaftswissenschaften (2)
- IaAM - Institut für angewandte Automation und Mechatronik (2)
- IfB - Institut für Bioengineering (2)
- Kommission für Forschung und Entwicklung (1)
- Nowum-Energy (1)
The industrial revolution especially in the IR4.0 era have driven many states of the art technologies to be introduced.
The automotive industry as well as many other key industries have also been greatly influenced. The rapid development of automotive industries in Europe have created wide industry gap between European Union (EU) and developing countries such as in South East Asia (SEA). Indulging this situation, FH JOANNEUM, Austria together with European partners from FH Aachen, Germany and Politecnico di Torino, Italy are taking initiative to close down the gap utilizing the Erasmus+ United Capacity Building in Higher Education grant from EU. A consortium was founded to engage with automotive technology transfer using the European framework to Malaysian, Indonesian and Thailand Higher Education Institutions (HEI) as well as automotive industries in respective countries. This could be achieved by establishing Engineering Knowledge Transfer Unit (EKTU) in respective SEA institutions guided by the industry partners in their respective countries. This EKTU could offer updated, innovative and high-quality training courses to increase graduate’s employability in higher education institutions and strengthen relations between HEI and the wider economic and social environment by addressing University-industry cooperation which is the regional priority for Asia. It is expected that, the Capacity Building Initiative would improve the quality of higher education and enhancing its relevance for the labor market and society in the SEA partners. The outcome of this project would greatly benefit the partners in strong and complementary partnership targeting the automotive industry and enhanced larger scale international cooperation between the European and SEA partners. It would also prepare the SEA HEI in sustainable partnership with Automotive industry in the region as a mean of income generation in the future.
The development of resilient technical systems is a challenging task, as the system should adapt automatically to unknown disturbances and component failures. To evaluate different approaches for deriving resilient technical system designs, we developed a modular test rig that is based on a pumping system. On the basis of this example
system, we present metrics to quantify resilience and an algorithmic approach to improve resilience. This approach enables the pumping system to automatically react on unknown disturbances and to reduce the impact of component failures. In this case, the system is able to automatically adapt its topology by activating additional valves. This enables the system to still reach a minimum performance, even in case of failures. Furthermore, timedependent disturbances are evaluated continuously, deviations from the original state are automatically detected and anticipated in the future. This allows to reduce the impact of future disturbances and leads to a more resilient
system behaviour.
Design and Development of a Hot S-Parameter Measurement System for Plasma and Magnetron Applications
(2020)
To maximize the travel distances of battery electric vehicles such as cars or buses for a given amount of stored energy, their powertrains are optimized energetically. One key part within optimization models for electric powertrains is the efficiency map of the electric motor. The underlying function is usually highly nonlinear and nonconvex and leads to major challenges within a global optimization process. To enable faster solution times, one possibility is the usage of piecewise linearization techniques to approximate the nonlinear efficiency map with linear constraints. Therefore, we evaluate the influence of different piecewise linearization modeling techniques on the overall solution process and compare the solution time and accuracy for methods with and without explicitly used binary variables.