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Die generative Herstellung von Kunststoffbauteilen hat im Gewand des Rapid Prototyping die Produktentwicklung nachhaltig positiv beeinflusst und ist im Begriff als Rapid Manufacturing die Fertigung zu revolutionieren. Je mehr sich die besonderen Eigenschaften generativ gefertigter Kunststoffbauteile herumsprechen, desto lauter wird der Ruf nach Metallbauteilen. Die Entwicklung entsprechender Prozesse läuft auf Hochtouren, kann aber bisher aber erst vereinzelt Erfolge vorweisen. Dabei wären es gerade die Metallbauteile, die ausgestattet mit den besonderen Merkmalen generativ gefertigter Werkstücke, in vielen Branchen einen deutlichen Entwicklungsschub auslösen könnten. Für den potenziellen Anwender ist dabei besonders verwirrend, dass die unterschiedlichsten Ansätze nebeneinander verfolgt werden. Im Folgenden soll daher der Versuche unternommen werden, dieses weite Feld systematisiert darzustellen und Möglichkeiten und Trends zu erläutern.
Die Berechnung der Durchströmung von Bauteilen ist gegenüber derjenigen von umströmten Bauteilen deutlich im Hintertreffen. Das liegt vor allem an der fehlenden Verfügbarkeit geeigneter optisch transparenter Modellkanäle für die experimentelle Analyse. Der Beitrag stellt ein Verfahren zur Herstellung transparenter durchströmter Geometrien auf der Basis generativ gefertigter Urmodelle vor. Damit können beliebig komplexe Innenströmungen optisch analysiert werden. Anhand von zwei Beispielen aus der Medizin, der Modellierung der oberen Atemwege und des Bronchialbaums, wird das Verfahren vorgeführt. Der generative Bauprozess mittels 3D-Printing wird beschrieben und die Abformung in transparentem Silikon gezeigt. Schließlich werden beispielhaft der Messaufbau und Ergebnisse der Anwendung vorgestellt. Das Verfahren bildet die Grundlage für die Analyse und Berechnung komplexer Innenströmungen und trägt somit zur Verbesserung zahlreicher technischer Anwendungen bei.
The Ministry of Science and Research in North Rhine-Westphalia created eight platforms of excellence, one in the research area „Energy and Environment“ in 2002 at ACUAS. This platform concentrates the research and development of 13 professors in Jülich and Aachen and of two scientific institutes with different topics: – NOWUM-Energy with emphasis on efficient and economic energy conversion – The Solar Institute Jülich – SIJ – being the largest research institute in the field of renewables at a University of Applied Sciences in Germany With this platform each possible energy conversion – nuclear, fossil, renewable- can be dealt with to help solving the two most important problems of mankind, energy and potable water. At the CSE are presented the historical development, some research results and the combined master studies in „Energy Systems“ and „Nuclear Applications“
One of the most important parameters in a burning chamber - in power stations, in waste to energy plants - is the temperature. This temperature is in the range of 700-1500 °C - one of the most advanced measuring methods being the acoustic pyrometry with the possibility of producing temperature mapping in one level of the burning chamber - comparable to computer tomography. The results of these measurements discussed in the presentation can be used - to fulfil the legal requirements in the FRG or in the EU - to equalise the temperature in one level of the burning chamber to optimise the steam production (better efficiency of the plant) and to minimise the production of temperature controlled flue gas components (NO, CO a. o.) - to control the SNCR-process if used.
Os 3 items majores: a explicação do conceito científico, depois praticar o conceito através de uma auto-avaliação, e no final algumas experiências de empresários européias. Um Líder de Sucesso deve ser - como diz o ditado - "um Pau para toda Obra", uma pessoa de múltiplas Funções e Competências. Em geral são as competências requeridas de um Líder de Sucesso as 4 seguintes: 1. Competência especializada 2. Competência Metódica 3. Competência social 4. Competência individual.
Um líder excelente está disposto a partilhar a liderança do grupo, a fim de iniciar o desenvolvimento de nosso Team. Pois: Um grupo somente alcançará sua plenipotência, se o seu líder estiver disposto a partilhar a liderança. Em princípio, múltiplos conteúdos podem – em diferentes seqüências – ser tema de um desenvolvimento de Team. Pela experiência, os seguintes temas são os que apresentam os temas difíceis para a eficácia do Team, que necessitam ser tratados. Para cada tema de desenvolvimento é importante tratar de cada um dos passos seguintes no grupo como um todo, para se assegurar uma realização duradoura na prática do grupo.
Geotechnik
(2005)
Wasserwirtschaft
(2005)
Stahlbau
(2005)
Verformungsbasierter seismischer Nachweis von Mauerwerksbauten mit der Kapazitätsspektrum-Methode
(2005)
[{ReN(PMe2Ph)3}{ReO3N}]2 – Structural Evidence for the Nitridotrioxorhenate(VII) Anion, [ReO3N]2−
(2005)
Low-thrust space propulsion systems enable flexible high-energy deep space missions, but the design and optimization of the interplanetary transfer trajectory is usually difficult. It involves much experience and expert knowledge because the convergence behavior of traditional local trajectory optimization methods depends strongly on an adequate initial guess. Within this extended abstract, evolutionary neurocontrol, a method that fuses artificial neural networks and evolutionary algorithms, is proposed as a smart global method for low-thrust trajectory optimization. It does not require an initial guess. The implementation of evolutionary neurocontrol is detailed and its performance is shown for an exemplary mission.
The optical properties of the thin metalized polymer films that are projected for solar sails are assumed to be affected by the erosive effects of the space environment. Their degradation behavior in the real space environment, however, is to a considerable degree indefinite, because initial ground test results are controversial and relevant inspace tests have not been made so far. The standard optical solar sail models that are currently used for trajectory design do not take optical degradation into account, hence its potential effects on trajectory design have not been investigated so far. Nevertheless, optical degradation is important for high-fidelity solar sail mission design, because it decreases both the magnitude of the solar radiation pressure force acting on the sail and also the sail control authority. Therefore, we propose a simple parametric optical solar sail degradation model that describes the variation of the sail film’s optical coefficients with time, depending on the sail film’s environmental history, i.e., the radiation dose. The primary intention of our model is not to describe the exact behavior of specific film-coating combinations in the real space environment, but to provide a more general parametric framework for describing the general optical degradation behavior of solar sails. Using our model, the effects of different optical degradation behaviors on trajectory design are investigated for various exemplary missions.
After a short introduction of a new nonconforming linear finite element on quadrilaterals recently developed by Park, we derive a dual weighted residual-based a posteriori error estimator (in the sense of Becker and Rannacher) for this finite element. By computing a corresponding dual solution we estimate the error with respect to a given target error functional. The reliability and efficiency of this estimator is analyzed in several numerical experiments.
Searching optimal interplanetary trajectories for low-thrust spacecraft is usually a difficult and time-consuming task that involves much experience and expert knowledge in astrodynamics and optimal control theory. This is because the convergence behavior of traditional local optimizers, which are based on numerical optimal control methods, depends on an adequate initial guess, which is often hard to find, especially for very-low-thrust trajectories that necessitate many revolutions around the sun. The obtained solutions are typically close to the initial guess that is rarely close to the (unknown) global optimum. Within this paper, trajectory optimization problems are attacked from the perspective of artificial intelligence and machine learning. Inspired by natural archetypes, a smart global method for low-thrust trajectory optimization is proposed that fuses artificial neural networks and evolutionary algorithms into so-called evolutionary neurocontrollers. This novel method runs without an initial guess and does not require the attendance of an expert in astrodynamics and optimal control theory. This paper details how evolutionary neurocontrol works and how it could be implemented. The performance of the method is assessed for three different interplanetary missions with a thrust to mass ratio <0.15mN/kg (solar sail and nuclear electric).