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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.
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.
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).
Multiple Near-Earth Asteroid Rendezvous and Sample Return Using First Generation Solar Sailcraft
(2005)
Miniaturised reference electrodes for field-effect sensors compatible to silicon chip technology
(2005)
Limit loads can be calculated with the finite element method (FEM) for any component, defect geometry, and loading. FEM suggests that published long crack limit formulae for axial defects under-estimate the burst pressure for internal surface defects in thick pipes while limit loads are not conservative for deep cracks and for pressure loaded crack-faces. Very deep cracks have a residual strength, which is modelled by a global collapse load. These observations are combined to derive new analytical local and global collapse loads. The global collapse loads are close to FEM limit analyses for all crack dimensions.
This study has been performed to design the combination of the new ClearPET (ClearPET is a trademark of the Crystal Clear Collaboration), a small animal positron emission tomography (PET) system, with a micro-computed tomography (microCT) scanner. The properties of different microCT systems have been determined by simulations based on GEANT4. We will demonstrate the influence of the detector material and the X-ray spectrum on the obtained contrast. Four different detector materials (selenium, cadmium zinc telluride, cesium iodide and gadolinium oxysulfide) and two X-ray spectra (a molybdenum and a tungsten source) have been considered. The spectra have also been modified by aluminum filters of varying thickness. The contrast between different tissue types (water, air, brain, bone and fat) has been simulated by using a suitable phantom. The results indicate the possibility to improve the image contrast in microCT by an optimized combination of the X-ray source and detector material.
Heerlen: Broken Glass
(2005)
Formeln statt Zahlen : Referenzwerte Formeln zur energetischen Bewertung von Produktionsanlagen
(2005)
Flow visualization by means of PIV of an artificial aortic heart valve fixed into a mock aorta
(2005)
Ermittlung von Eigenwerten und Eigenformen für Stäbe und Stabwerke / Kindmann, Rolf ; Laumann, Jörg
(2005)
Erforderliche Einspanntiefe von Stahlstützen in Betonfundamenten / Kindmann, Rolf ; Laumann, Jörg
(2005)
The ClearPET® scanners developed by the Crystal Clear Collaboration use multichannel PMTs as photodetectors with scintillator pixels coupled individually to each channel. In order to localize an event each channel anode is connected to a comparator that triggers when the anode signal exceeds a common predefined threshold. Two major difficulties here are crosstalk of light and the gain nonuniformity of the PMT channels. Crosstalk can generate false triggering in channels adjacent to the actual event. On the one hand this can be suppressed by sufficiently increasing the threshold, but on the other hand a threshold too high can already prevent valid events on the lower gain channels from being detected. Finally, both effects restrict the dynamic range of pulse heights that can be processed. The requirements to the dynamic range are not low as the ClearPET® scanners detect the depth of interaction by phoswich pixels consisting of LSO and Lu0.7Y0.3AP, two scintillators with different light yields. We will present a model to estimate the achievable dynamic range and show solutions to increase it.
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.
In the new European standard for unfired pressure vessels, EN 13445-3, there are two approaches for carrying out a Design-by-Analysis that cover both the stress categorization method (Annex C) and the direct route method (Annex B) for a check against global plastic deformation and against progressive plastic deformation. This paper presents the direct route in the language of limit and shakedown analysis. This approach leads to an optimization problem. Its solution with Finite Element Analysis is demonstrated for mechanical and thermal actions. One observation from the examples is that the so-called 3f (3Sm) criterion fails to be a reliable check against progressive plastic deformation. Precise conditions are given, which greatly restrict the applicability of the 3f criterion.
Das Drallrohr
(2005)
Das Bild im Kopf
(2005)