Refine
Department, Institute
- Fachbereich Elektrotechnik, Maschinenbau, Technikjournalismus (60)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (55)
- Fachbereich Informatik (14)
- Institute of Visual Computing (IVC) (4)
- Institut für funktionale Gen-Analytik (IFGA) (3)
- Zentrum für Innovation und Entwicklung in der Lehre (ZIEL) (2)
- Fachbereich Angewandte Naturwissenschaften (1)
- Fachbereich Wirtschaftswissenschaften (1)
Document Type
- Article (59)
- Conference Object (24)
- Part of a Book (4)
- Preprint (4)
- Report (4)
- Doctoral Thesis (1)
- Other (1)
Year of publication
Keywords
- Molecular dynamics (4)
- Force field (3)
- Numerical optimization (3)
- Extrusion blow molding (2)
- High-performance computing (2)
- Lennard-Jones potential (2)
- Molecular modeling (2)
- Molecular simulation (2)
- Monte Carlo (2)
- ionic liquids (2)
In this contribution, various sales forecast models for the German automobile market are developed and tested. Our most important criteria for the assessment of these models are the quality of the prediction as well as an easy explicability. Yearly, quarterly and monthly data for newly registered automobiles from 1992 to 2007 serve as the basis for the tests of these models. The time series model used consists of additive components: trend, seasonal, calendar and error component.
The aim of this study is to understand deeper the thermal diffusiontransport process (Ludwig–Soret effect) at the microscopic level. For that purpose, the recently developed reverse nonequilibrium molecular dynamics method was used to calculate Soret coefficients of various systems in a systematic fashion. We studied binary Lennard-Jones (LJ) fluids near the triple point (of one of the components) in which we separately changed the ratio of one of the LJ parameters mass, atomic diameter, and interaction strength while keeping all other parameters fixed and identical. We observed that the magnitude of the Soret coefficient depends on all three ratios. Concerning its sign we found that heavier species, smaller species, and species with higher interaction strengths tend to accumulate in the cold region whereas the other ones (lighter, bigger or weaker bound) migrate to the hot region of our simulation cell. Additionally, the superposition of the influence of the various parameters was investigated as well as more realistic mixtures. We found that in the experimentally relevant parameter range the contributions are nearly additive and that the mass ratio often is the dominating factor.
The influence of interaction details on the thermal diffusion in binary Lennard-Jones liquids
(2001)
There exists a disturbing controversy in the literature about the sign of the Soret effect in binary mixtures of modelfluids (Lennard-Jones atoms), whose components differ only in their molecular diameter. For such mixtures, the dependence of the Soret coefficient on the state (liquid versus supercritical), on the system size and on details of handling the range and the cutoff of the Lennard-Jones potential is examined by molecular-dynamics simulations. We establish unambiguously the direction of the Soret effect: Under all circumstances investigated, large particles are driven to the hot region. At supercritical densities, the Soret effect is considerably smaller than in the dense liquid and, furthermore, details of the attractive tail of the Lennard-Jones potential become much more important.
Comparison Between Coarse-Graining Models for Polymer Systems: Two Mapping Schemes for Polystyrene
(2007)
In this contribution we briefly recap the general concept of the BRSU Race Academy. We then concentrate on and demonstrate how practical projects can be set up and executed within this framework. We discuss what is needed to train the members of the Race Academy properly and how the faculty advisor could change his course of action during the projects. The feedback and the results of such projects have been extremely positive so far: The Race Academy members have been perceived as role models to their peers, and an efficient peer-group atmosphere could be set up that facilitated learning. With their experience, solid user knowledge and the close contact to several industrial partners, a productive, authentic and practical working atmosphere has been established. We will give examples of how to use our new teaching approach to surpass the qualities of classes held in the traditional way. Furthermore, it is shown that the technical understanding is improved, as well as the personal experience to work with and integrate into a professional team.
Formula Student is known worldwide as a design contest for engineering students, in which they train technical skills and engineering thinking by developing and manufacturing a single-seated race car every year. The efficient transfer of highly specialized and professional knowledge about physics and manufacturing has to be ensured every year, as the members turn into alumni. This requires much more than only technical skills.
In this contribution, we want to present how the Bonn-Rhine-Sieg University of Applied Sciences supports its Formula Student team in order to foster and exploit its great potentials with a systematic approach, under the supervision of its team faculty advisor. We show how senior students learn how to teach their fellow students in their highly specialized skills in a so called “Race Academy”. This aims at the evolution of teaching content, and the art of teaching itself, by systematically involving peers in the teaching process.
Ressourceneffiziente Optimierung von Hohlkörpern aus Kunststoff mittels Multiskalensimulation
(2017)