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Organisationseinheit der BAM
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Eingeladener Vortrag
- nein (9)
In diesem Vortrag werden die aktuellen Techniken für die angewandte mechanisierte Schienenprüfung dargestellt und Perspektiven für die Zukunft der handgeführten und fahrzeuggeführten Prüftechnik aufgezeigt. Insbesondere wird hier die bildhafte Darstellung, der zusätzliche Nutzen von Arraysensoren sowie die Möglichkeiten der Simulation von Schienenfehlern vorgestellt.
Combination of model reduction and adaptive subset simulation for structural reliability problems
(2019)
A safe and robust design is a key criterion when building a structure or a component. Ensuring this criterion can either be performed by fullfilling prescribed safety margins, or by using a full probabilistic approach with a computation of the failure probability. The latter approach is particularly well suited for complex Problems with an interaction of different physical penomena that can be described in a numerical model. The bottleneck in this approach is the computational effort. Sampling methods such as Markov chain Monte Carlo methods are often used to evaluate the system reliability. Due to small failure probabilities (e.g. 10^6) and complex physical models with already and extensive computational effort for a single set of parameters, these methods a prohibitively expensive. The focus of this contribution is to demonstrate the advantages of combining model reduction techniques within the concept a variance reducing adaptive sampling procedures. In the developed method, a modification of the adaptive subset simulation based on Papaioannou et al. 2015 is used and coupled with a limit state function based on Proper Generalized Decomposition (PGD) (Chinesta et al. 2011). In the subset simulation the failure probability is expressed as a product of larger conditional failure probabilities. The intermediate failure events are chosen as a decreasing sequence. Instead of solving each conditional probability with a Markov chain approach, an importance sampling approach is used. It is be shown that the accuracy of the estimation depends mainly on the number of samples in the last sub-problem. For model reduction, the PGD approach is used to solve the structural problem a priori for a given Parameter space (physical space plus all random parameters). The PGD approach results in an approximation of the problem output within a prescribed range of all input Parameters (load factor, material properties, ..). The approximation of the solution by a separated form allows an evaluation of the limit state function within the sampling algorithm with almost no cost. This coupled PGD – adaptive subset Simulation approach is used to estimate the failure probability of examples with different complexity. The convergence, the error propagation as well as the reduction in computational time is discussed.
Electron backscatter diffraction (EBSD) is a technique to obtain microcrystallographic information from materials by collecting large-angle Kikuchi patterns in the scanning electron microscope (SEM). An important fundamental question concerns the scattering-angle dependent electron energy distribution, which is relevant for the formation of the Kikuchi diffraction patterns. Here we review the existing experimental data and explore the effective energy spectrum that is operative in the generation of backscatter Kikuchi patterns from silicon. We use a full pattern comparison of experimental data with dynamical electron diffraction simulations. Our energy-dependent cross-correlation based pattern matching approach establishes improved constraints on the effective Kikuchi pattern energy spectrum, which is relevant for high-resolution EBSD pattern simulations and their applications.
Effect of Inter-Layer Dwell Time on Distortion and Residual Stresses of Laser Metal Deposited Wall
(2019)
The laser metal deposition is an advanced manufacturing technology enabling the production of large-sized parts and partially or completely elimination of machining and welding. The process is characterised by non-uniform local heating of the buildup leading to a stress distribution, which may exceed the yield strength of the material and leads to loss of dimensional accuracy. The interlayer dwell time has a strong influence on the temperature field. The effect of the interlayer dwell time on the distortion and the stress distribution during laser metal deposition of a single-pass wall on the edge of 2 mm thick plate was studied experimentally and numerically. The deposited material was IN625 and the substrate material was AISI 316. A decrease of the residual displacement, due to a uniform shrinkage after the deposition of the last layer and a lower level of the residual compressive longitudinal plastic strain, has been observed in the studies without dwell time. The peak increment of the free edge displacement corresponds to the first layer and hence the subsequent layers will be deposited on the already plastically deformed buildup. The tensile residual longitudinal stress near the top of the buildup and transverse stress near the edges of the buildup is higher than yield strength in the studies with dwell time.
Die Entstehung von Erstarrungsrissen stellt ein in der Schweißtechnik lange bekanntes Problem dar. Diese prozessseitige Herausforderung ist selbst nach dem heutigen Wissenstand schwer zu beherrschen und gefährdet die Sicherheit der gefügten Bauteile. Dieses Problem erweist sich als besonders schwierig beim einlagigen Hochleistungslaserstrahlschweißen von Metallteilen hoher Blechstärke, welche eine essentielle Rolle in vielerlei industriellen Anwendungen spielen.
Gegenstand des hier bearbeiteten Forschungsprojekts war die numerische Untersuchung der Entstehungsmechanismen des Mittelrippendefekts beim Laserstrahlschweißen niedriglegierter Stähle. Mittels mehrerer gekoppelter Simulationen, für welche sowohl kommerziellen Softwares, wie COMSOL Multiphysics und ANSYS, als auch in-house entwickelte Programme eingesetzt worden sind, wurden die am stärksten ausgeprägten Mechanismen der Erstarrungsrissbildung und deren Zusammenspiel aufgeklärt. Begleitend zur Simulation wurden mehrere experimentelle Untersuchungen für den niedriglegierten Baustahl S355 an den Blechdicken 12 mm und 15 mm zu deren Validierung durchgeführt. Die Ergebnisse der Simulation des Kristallwachstums, der Diffusion und der Makroseigerung von Schwefel zeigen, dass die Risse für bestimmte Werkstoffe mit einer hohen Konzentration an Verunreinigungen
hauptsächlich metallurgisch bedingt entstehen können. Allerdings zeigte die Untersuchung des Einflusses der Ausbauchung (Bulging) im Mittenbereich der Schweißnaht auf das transiente Temperaturfeld und die transienten Transversalspannungen im risskritischen Bereich auch, dass die Rissbildung nicht nur metallurgisch bedingt und insbesondere auch für aus metallurgischer Sicht eigentlich rissunkritische Materialien auftreten kann.
Der Bulging-Bereich hat sich in der Untersuchung als besonders kritisch in allen Teilen der Simulationskette gezeigt. Die Einflüsse dieser geometrischen Besonderheit konnten bei allen physikalischen Teilaspekten der Problematik als heißrissinduzierend identifiziert werden. Von besonderer Bedeutung wird an dieser Stelle das erkannte Zusammenspiel dieser Einflüsse hervorgehoben. Bisher wurde die Bildung der Erstarrungsrisse hauptsächlich durch einen einzelnen physikalischen Aspekt, wie z.B. rein metallurgisch oder rein thermomechanisch bedingt, isoliert betrachtet. Die gewonnen Erkenntnisse über die Einflüsse des Bulgings auf die unterschiedlichen Teilaspekte zeigen deutlich, dass alle Entstehungsmechanismen auch die Schmelzbadgeometrie als Ursprung haben. Von dieser hängen die transienten Temperatur- und Spannungsfelder, die Kristallwachsrichtung, die Erstarrungsgeschwindigkeit und die Konzentration von Verunreinigungen, welche zur Entstehung von niedrigschmelzenden Phasen führt, ab.
Die Ergebnisse des Forschungsvorhabens sind vielfach in referierten Zeitschriften und auf Fachtagungen veröffentlicht worden. Hervorzuheben dabei ist der „Best Presentation Award“ auf der LANE Conference 2018 in Fürth, wodurch die Thematik einem breiten Publikum bekannt gemacht werden konnte.
Introduction of numerical methods to simulate damage accumulations of composite pressure vessel
(2019)
The development of hydrogen as a reliable energy sector is strongly connected to the performance and the level of safety of hydrogen storage system. Composite damage due to static, fatigue loading and ageing effect is a progressive process. The common failure modes of composite pressure vessels are majorly fibre break, then interface debonding, matrix cracking and delamination. The damages occur subsequently or even simultaneously, failure modes may interactive each other. These attributes make the composite fatigue more complex and difficult. The presentation here is to show how the numerical methods being developed to match this challenge, particularly the numerical model of composite pressure vessel developed by FibreMod research project is introduced. The potential role of numerical simulation in the certification process and the outlook for the further trend is also discussed.
Dose enhancement by gold nanoparticles (AuNP) was shown to increase the biological effectiveness of radiation damage in biomolecules and tissue. Most of the current studies focus on external beam therapy on combination with AuNP. Here we present a Monte-Carlo study (Geant4) to characterise radioactive AuNP. Radioactive 198 Au emits beta and gamma rays and is considered for applications with solid tumours. To effectively apply 198 AuNP their energy deposit characteristics have to be determined in terms of intrinsic and extrinsic properties e.g. AuNP diameter, AuNP density, and their clustering behaviour. After each decay process, the energy deposit, inelastic scattering events, kinetic energy spectrum of secondary particles within the AuNP themselves and in a spherical target volume of water up to 1 μm radius were determined. Simulations were performed for AuNP radii ranging from 2.5 nm to 20 nm radius, different cluster sizes and densities. The results show an increase of the energy deposit in the vicinity of the AuNP up to 150 nm. This effect nearly vanishes for distances up to one micron. For the case of AuNP clusters and the same activity, the enhancement of the energy deposit increases with the relative gold mass percentage and therefore can be adjusted by changing AuNP radius or clustering behaviour.
Dose enhancement by gold nanoparticles (AuNP) was shown to increase the biological effectiveness of radiation damage in biomolecules and tissue. Most of the current studies focus on external beam therapy on combination with AuNP. Here we present a Monte-Carlo study (Geant4) to characterise radioactive AuNP. Radioactive ¹⁹⁸Au emits beta and gamma rays and is considered for applications with solid tumours. To effectively apply ¹⁹⁸AuNP their energy deposit characteristics have to be determined in terms of intrinsic and extrinsic properties e.g. AuNP diameter, AuNP density, and their clustering behaviour. After each decay process, the energy deposit, inelastic scattering events, kinetic energy spectrum of secondary particles within the AuNP themselves and in a spherical target volume of water up to 1 μm radius were determined. Simulations were performed for AuNP radii ranging from 2.5 nm to 20 nm radius, different cluster sizes and densities. The results show an increase of the energy deposit in the vicinity of the AuNP up to 150 nm. This effect nearly vanishes for distances up to one micron. For the case of AuNP clusters and the same activity, the enhancement of the energy deposit increases with the relative gold mass percentage and therefore can be adjusted by changing AuNP radius or clustering behaviour.