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Eingeladener Vortrag
- nein (52)
This talk highlights a proof-of-concept that demonstrates the ability to calculate high-resolution Fourier transforms. These can be combined with multi-scale modeling to simulate scattering over a wide range, from small-angle scattering to XRD and PDF.
The preprint documenting this is available on the ArXiv here:
https://doi.org/10.48550/arXiv.2303.13435
The Jupyter notebook, VASP calculation details and MOUSE measured scattering patterns are available from this Zenodo repository: https://dx.doi.org/10.5281/zenodo.7764045
We demonstrate a strategy for simulating wide-range X-ray scattering patterns, which spans the small- and wide scattering angles as well as the scattering angles typically used for Pair Distribution Function (PDF) analysis. Such simulated patterns can be used to test holistic analysis models, and, since the diffraction intensity is on the same scale as the scattering intensity, may offer a novel pathway for determining the degree of crystallinity.
The "Ultima Ratio" strategy is demonstrated on a 64-nm Metal Organic Framework (MOF) particle, calculated from Q < 0.01 1/nm up to Q < 150 1/nm, with a resolution of 0.16 Angstrom. The computations exploit a modified 3D Fast Fourier Transform (3D-FFT), whose modifications enable the transformations of matrices at least up to 8000^3 voxels in size. Multiple of these modified 3D-FFTs are combined to improve the low-Q behaviour. The resulting curve is compared to a wide-range scattering pattern measured on a polydisperse MOF powder. While computationally intensive, the approach is expected to be useful for simulating scattering from a wide range of realistic, complex structures, from (poly-)crystalline particles to hierarchical, multicomponent structures such as viruses and catalysts.
The new standard ISO 176362:2013 'NDT of welds: Radiographic testing - Part 2: X- and gamma ray techniques with digital detectors' describes a complex procedure for film replacement by phosphor imaging plates and digital detector arrays. RT modeling software should consider these detector types, X-ray film, and the standard requirements for image quality. Practitioners expect the same visibility of image quality indicators (IQI) in the simulated radiographs as in the experimental exposures. The proposed benchmark test is based on the comparison of experimental radiographs taken at BAM with modeled ones of participants. The experimental setup and the determination of the equivalent penetrameter sensitivity (EPS) as described in the procedure of ASTM E 746 are used for quantitative evaluation of the achievable contrast sensitivity for step hole IQIs as considered in Annex B of ISO 17636-2. System classification data for Computed Radiography (CR) and film systems will be provided by BAM according to ISO 116991 for selected film systems and according to ASTM E 2446 for selected CR systems. The classification of films and digital detectors is based on the measurement of the dose response function, the basic spatial resolution (SRb) of the image, and the measured image noise, which depends on the detector efficiency, the quantum statistics, and the detector fixed pattern noise.
In Near Edge X-Ray Absorption Fine Structure (NEXAFS) spectroscopy X-Ray photons are used to excite tightly bound core electrons to low-lying unoccupied orbitals of the system. This technique offers insight into the electronic structure of the system as well as useful structural information. In this work, we apply NEXAFS to two kinds of imidazolium based ionic liquids ([CnC1im]+ [NTf2]− and [C4C1im]+ [I]−). A combination of measurements and quantum chemical calculations of C K and N K NEXAFS resonances is presented. The simulations, based on the transition potential density functional theory method (TP-DFT), reproduce all characteristic features observed by the experiment. Further, a detailed assignment of resonance features to excitation centers leads to a consistent interpretation of the spectra.
One essential step on the way towards accurate quantitative simulation of radiographic testing is an accurate description of the utilized energy spectrum of X-ray photons. For use in general purpose simulation tools, the spectra of X-ray tubes have to be described by a model covering at least the intended range of applications. This range includes transmission tubes as well as direct beam tubes with varying angles of incidence and emission, for a number of typical target materials. In radiographic testing acceleration voltages frequently reach up to 450 kV for direct beam targets and up to 225 kV for transmission targets, with even higher voltages available or being developed. Currently used models are unable to cover the whole range of configurations.
Here a model is presented that employs a unified approach for simulating the photon energy spectra for transmission and direct beam targets composed of arbi-trary homogeneous materials. In order to achieve this, a detailed model of electron transport within the target is employed. The validity of the developed model is shown through comparisons with Monte Carlo simulations as well as measurements for a number of different configurations.
A model is presented that employs a unified approach for
simulating the photon energy spectra for transmission and direct
beam targets composed of arbitrary homogeneous materials. In order
to achieve this, a detailed model of electron transport within the
target is employed. The validity of the developed model is shown
through comparisons with Monte Carlo simulations as well as
measurements for a number of different configurations.
Additive manufacturing (AM) offers significantly greater freedom of design compared to conventional manufacturing processes since the final parts are built layer by layer. This enables metal AM, also known as metal 3D printing, to be utilized for improving efficiency and functionality, for the production of parts with very complex geometries, and rapid prototyping. However, despite many technological advancements made in recent years, several challenges hinder the mass adoption of metal AM. One of these challenges is mechanical anisotropy which describes the dependency of material properties on the material orientation. Therefore, in this work, stainless steel 316L parts produced by laser-based powder bed fusion are used to isolate and understand the root cause of anisotropy in AM parts. Furthermore, an efficient and accurate multiscale numerical framework is presented for predicting the deformation behavior of actual AM parts on the macroscale undergoing large plastic deformations. Finally, a novel constitutive model for the plastic spin is formulated to capture the influence of the microstructure evolution on the material behavior on the macroscale.
Simulations of cavitation processes on a grain boundary under creep conditions have been carried out, taking into account nucleation, growth, coalescence and sintering of multiple cavities. Cavity growth rates have been calculated through a resolution procedure based on the use of holomorphic complex functions. Three dimensionless parameters have been identified that are responsible for the cavitation development. Parameter studies have been carried out in order to characterise the mechanisms that are responsible for the cavitation development. These studies have been used to develop a physically motivated, simplified model in order to describe the cavitation development of the simulations in terms of global state variables. The simplified model is able to reproduce the cavitation development for all considered combinations of the dimensionless parameters and allows the description of the thickening behaviour of a cavitating grain boundary.
Das Ziel der vorliegenden Vorstudie ist es, die grundsätzlichen Anforderungen, Funktionen und Möglichkeiten vorhandener Software zur Simulation schweißbedingter Phänomene (Prozess-, Struktur- und Werkstoffsimulation) zu erarbeiten und gegenüberzustellen. Die notwendigen Eingabedaten, die vorausgesetzte Anwendererfahrung, sowie die Systemanforderungen und der Rechenzeitbedarf werden für sowohl kommerziell erhältliche als auch zur Zeit noch rein in der Forschung angewandte Programme berücksichtigt.
Nach Aufarbeitung des heutigen Kenntnisstandes der Schweißsimulation wird aktuell verfügbare Software diskutiert. Diese Programme lassen sich in Anlehnung an Radaj in drei Teilbereiche (Software für Struktursimulation, Prozesssimulation und Werkstoffsimulation) unterteilen. Schließlich wird auf notwendige Eingabedaten, hier vor Allem auf die Werkstoffkennwerte, eingegangen. Da die quantitative Aussagekraft der Simulationsergebnisse gewährleistet werden muss, ist eine umfassende Prüfung der Plausibilität und der Genauigkeit der experimentell bestimmten Werkstoffkennwerte notwendig.
Accessing radiation damage to biomolecules on the nanoscale by particle-scattering simulations
(2023)
Radiation damage to DNA plays a central role in radiation therapy to cure cancer. The physico-chemical and biological processes involved encompass huge time and spatial scales. To obtain a comprehensive understanding on the nano and the macro scale is a very challenging tasks for experimental techniques alone. Therefore particle-scattering simulations are often applied to complement measurements and aide their interpretation, to help in the planning of experiments, to predict their outcome and to test damage models. In the last years, powerful multipurpose particle-scattering framework based on the Monte-Carlo simulation (MCS) method, such as Geant4 and Geant4-DNA, were extended by user friendly interfaces such as TOPAS and TOPAS-nBio. This shifts their applicability from the realm of dedicated specialists to a broader range of scientists. In the present review we aim to give an overview over MCS based approaches to understand radiation interaction on a broad scale, ranging from cancerous tissue, cells and their organelles including the nucleus, mitochondria and membranes, over radiosensitizer such as metallic nanoparticles, and water with additional radical scavenger, down to isolated biomolecules in the form of DNA, RNA, proteins and DNA-protein complexes. Hereby the degradation of biomolecules by direct damage from inelastic scattering processes during the physical stage, and the indirect damage caused by radicals during the chemical stage as well as some parts of the early biological response is covered. Due to their high abundance the action of hydroxyl radicals (•OH) and secondary low energy electrons (LEE) as well as prehydrated electrons are covered in additional detail. Applications in the prediction of DNA damage, DNA repair processes, cell survival and apoptosis, influence of radiosensitizer on the dose distribution within cells and their organelles, the study of linear energy transfer (LET), the relative biological effectiveness (RBE), ion beam cancer therapy, microbeam radiation therapy (MRT), the FLASH effect, and the radiation induced bystander effect are reviewed.
This paper deals with life prediction by observation and simulation of short fatigue cracks in cyclically loaded smooth and notched specimens made of 0.15 wt-% carbon steel SAE1017. The measured crack behaviour was simulated in a microstructural environment. Reference tests under constant amplitude loading allowed to determine model parameters and hence a reasonable life prediction by simulation resulted even for service loading. Short crack behaviour was a measurable property for damage also to compare smooth and notched specimens.
For decades, the low-strain impact integrity testing using a hammer blow is well established as a method of quality assurance for various pile types. However, this method has its limitations. Our research and development focuses on improving the excitation signal using a shaker system in contrast to the standard hammer method. Another approach is to increase the amount of sensors used during testing. The purpose is to identify the direction of wave propagation which gives advantages under difficult conditions, such as piles below structures.
Pile integrity testing (PIT) using a shaker system was performed on two 11 m long piles of 90 cm in diameter. While one pile was intact, the other one showed a flaw at approx. 3.5 m below pile top, which was confirmed by standard PIT in 2012. A logarithmic sweep between 500 Hz and 1 KHz of 0.1 s was used as the input signal, being vertically injected into the pile. Prior to that, simulations on similar pile geometries showed that the depth of the pile toe as well as flaws within the pile can be extracted by applying regularized deconvolution. The result is the impulse response in the time domain.
The application of deconvolution on the measured signals shows that it is possible to identify the pile length but it is more difficult to clearly extract the flaw’s position in the pile. Additional digital signal processing techniques and the improvement of the regularized deconvolution method as well as the experimental setup need to be investigated.
Another way to improve the PIT method is to use a multichannel sensor arrangement. By arranging several accelerometers vertically along the accessible part of the pile shaft, it is possible to distinguish between downward and upward traveling waves. Furthermore, it is possible to estimate the unknown wave speed, which gives the possibility of more accurate pile length calculations. The method was evaluated successfully during a measurement campaign of a slab foundation with subjacent piles. In 20 of 28 cases the pile length could be detected accurately.
Non-destructive testing of rail tracks is carried out by using rail inspection cars equipped with ultrasonic and eddy current measurement. The evaluation of test data is mainly done manually, supported by a software tool which pre-selects relevant indications shown to the evaluators. The resulting indications have to be checked on-site using hand-held testing equipment. Maintenance interventions are then derived on the basis of these on-site findings.
Overall aim of the AIFRI (Artificial Intelligence For Rail Inspection) project - funded by the German Federal Ministry of Digital and Transport (BMDV) as part of the mFUND programme under funding code 19FS2014 – is to increase the degree of automation of the inspection process from the evaluation of the data to the planning of maintenance interventions. The accuracy of defect detection shall be increased by applying AI methods in order to enable an automated classification of detected indications into risk classes. For this purpose, data from both eddy current inspections and ultrasonic inspections will be used in combination.
Within the framework of this data-driven project, relevant defect patterns and artefacts present in the rail are analysed and implemented into a configurable digital twin. With the help of this digital twin virtual defects can be generated and used to train AI algorithms for detection and classification. With the help of reliability assessment trained AI algorithms will be evaluated with regard to the resulting quality in defect detection and characterisation.
A particular aspect of the development of AI methods is the data fusion of different NDT data sources: Thereby, synergies are used that arise from linking eddy current and ultrasonic inspection data in a combined model.
In the course of the project a demonstrator consisting of the developed IT-tool and an asset management system will be implemented and tested in the field using real-world data.
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.
The cause and type of solid particle erosion varies across different industries and locations in plants, for instance the particles could be volcanic ash in aero-engines, fly ash in boilers, exfoliated scale in steam turbines or mineral matter in oil excavation. In all cases the durability of materials can be improved through better surface engineering and coatings, but the development of these is restricted also due to lack of generic models. In this respect, the simulation of a single impact with finite element methods using 100.000 knots would take about 15 minutes. In order to simulate an entire particle erosion experiment, up to one billion of such impacts would have to be considered. In order to simulate an entire particle erosion experiment, the current work presents an alternative approach capable of calculating about half a billion impacts on a substrate in less than six hours on a standard PC. The predictions of the simulation will be compared to a steel sample at 600°C eroded by aluminum oxide particles with a velocity around 210 m/s.
The cause and type of solid particle erosion varies across different industries and locations in plants, for instance the particles could be volcanic ash in aero-engines, fly ash in boilers, exfoliated scale in steam turbines or mineral matter in oil excavation. In all cases the durability of materials can be improved through better surface engineering and coatings, but the development of these is restricted also due to lack of generic models. In this respect, the simulation of a single impact with finite element methods using 100.000 knots would take about 15 minutes. In order to simulate an entire particle erosion experiment, up to one billion of such impacts would have to be considered. In order to simulate an entire particle erosion experiment, the current work presents an alternative approach capable of calculating about half a billion impacts on a substrate in less than six hours on a standard PC. The predictions of the simulation will be compared to a steel sample at 600°C eroded by aluminum oxide particles with a velocity around 210 m/s.
Wear mechanisms, as adhesion, abrasion, fatigue and tribochemical wear, are complex in their physical and chemical nature. A theoretical description and prediction of wear are in most cases still far from reality. It is, therefore, important to use test rigs before a practical application of a given material combination under tribological loading.
On the other hand, model equations can be helpful for wear description, if a single wear mechanism is dominant.
Under oscillating and continuous sliding contact conditions, equations for wear calculation are presented to describe running-in and stationary wear behaviour of metals and ceramics. By using shear energy density, real area of contact, flash temperature, activation energy and numerical simulations with the method of movable cellular automata (MCA), wear data were calculated and compared to experimental laboratory results.
Industrial radiography or Radiographic Testing (RT) is a method of non-destructive testing where many types of manufactured components can be examined to verify the internal structure and integrity of the specimen. The computer program aRTist can generate synthetic radiographs from a virtual RT test set-up. In the field of industrial radiology simulation is used, e.g. to optimize techniques for complex applications, to support the preparation of written procedures, and for education purposes.
The simulator aRTist combines analytical and Monte Carlo methods to efficiently model the radiation transport. The program comes with a graphical user interface written in Tcl/Tk. In combination of Tcl/Tk and the 3D capabilities of the visualization toolkit (VTK) a practical and convenient simulator has been realized. This will be illustrated by discussing application scenarios of classical radiography, X-ray computer tomography, and X-ray backscatter imaging. Additionally, some insight to the software implementation of the simulator will be given.
The interest in using computer simulations of dimensional x-ray computed tomography (dXCT) for various metrological purposes—such as measurement planning, performance prediction, performance optimisation and, finally, measurement uncertainty estimation—is increasing along with the ever-growing demand for more reliable measurements with dXCT. However, before a piece of simulation software can be used for tasks related to coordinate metrology, it has to be ensured that it is able to simulate physical laws, characteristic effects and basic CT system functionalities correctly and with sufficient accuracy. In short, the software must be qualified for dimensional metrology tasks. As one part of such a qualification process, a method is presented here for determining conformity intervals of 2D tests (projection-based tests) based on 3D tests (testing based on dimensional evaluations in a reconstructed volume) for the assessment of dXCT simulation software. The method consists of varying relevant parameter values in order to verify their influence on 3D measurement results. The results of the 3D tests with varied parameter values are then transferred to the quantities tested in the 2D tests and used as the basis for determining conformity intervals. Two approaches are applied for determining whether or not a variation of a parameter value is significant: (a) statistical and (b) heuristic. Two examples are presented, each based on simulated images, which show the application of the two different approaches for determining conformity intervals for the results of the 2D tests.
Im Rahmen des Forschungsprojekts "Artificial Intelligence for Rail Inspection" (AIFRI) wird ein KI-Algorithmus entwickelt, um die Fehlererkennung bei der Auswertung von Schienenprüfungen zu verbessern. Der Prozess der mechanisierten Schienenprüfung wird analysiert und die Schienenfehler sowie Artefakte werden in einem digitalen Zwilling abgebildet, um in einem weiteren Schritt die automatische Fehlererkennung und Klassifizierung mit KI-Algorithmen trainieren zu können. Zu diesem Zweck werden Ultraschalldatensätze auf der Grundlage der Regelwerke und Informationen aus der Instandhaltung mit einer Simulationssoftware erstellt, die Anzeigen der verschiedenen Schienenschädigungen und Artefakte enthalten.
Die Schienenfehler werden bei der Auswertung in Fehlerklassen eingeordnet, für das KI-Training priorisiert und auf Basis der von der DB Netz AG ausgewählten Informationen untersucht. Hierfür werden die Schienenfehler nach den für das KI-Training relevanten Merkmalen zerlegt und die Konfiguration der Parameter der Simulation entsprechend abgestimmt.
Für die Grundstruktur des Datensatzes wird ein Schienenmodell mit einer Länge von einem Meter für die Simulation eingesetzt, auf dessen Basis alle bei der Schienenprüfung zu verwendenden Prüfköpfe für den jeweiligen Reflektortyp betrachtet werden. Die simulierten Daten werden auf einer Testschiene im Labormaßstab validiert. Mögliche Einflussparameter wie z. B. der Signal-Rausch-Abstand sowie die Fahrgeschwindigkeit werden in den Datensätzen herangezogen. Die Zusammenstellung eines Testdatensatzes mit lokal veränderlichen Einflussgrößen erfolgt aus den simulierten Daten unter Verwendung der skriptbasierten Programmierumgebung Python und Matlab.
Das Projekt AIFRI wird im Rahmen der Innovationsinitiative mFUND unter dem Förderkennzeichen 19FS2014 durch das Bundesministerium für Digitales und Verkehr gefördert.
3D concrete printing is an innovative new construction technology offering the potential to enable an efficient production of individual structures with less consumption of resources. The technology will mainly shape the future construction philosophy, automate the build process and help reaching the climate goals in civil engineering. From the design of a structure to the printed component, many individual steps based on different software are required which must be repeated for each new or changed structure. First, the geometry of the structure is created in a CAD program. Second, the print path is defined in a slicer software creating the machine code for the printer (G-Code). Finally, the structure can be printed. Furthermore, a numerical model of the printed structure is necessary for process optimization and control. In that way the number of test prints can be reduced, costs can be saved, and the component behavior can be predicted. For those purposes, an automated workflow allowing to run all steps or individual steps without interacting with each individual software program is required. Furthermore, changes in parameters or the exchange of parts (using a different design or different printer) must be possible in a simple manner. In the presented work, such an automated workflow based on the example of a parametrized wall element for extrusion-based concrete printing is developed. The investigated wall structure is parametrized using the global geometry parameters: height, width, thickness, radius, kind of infill structure (honey-comb, zig-zag) and number of repeated infills. All above mentioned steps are implemented via python interfaces using pydoit as workflow tool. General interfaces with prescribed input and output files are defined allowing adaptations for different software and tools. The described workflow is tested by performing a test series investigating the influence of the in-fill structure on the mechanical properties of the test walls.
Liquid metal embrittlement (LME) cracking can occur during resistance spot welding (RSW) in zinc-coated advanced high-strength steels (AHSS) for automotive production. In this study, a methodological variation of hold time is performed to investigate the process-related crack influence factors. A combination of numerical and experimental investigations confirms, that the extent of heat dissipation and re-heating of the sheet surface can be influenced and thus the degree of crack formation can be controlled in a targeted manner by the parameterisation of the hold time. The temperature and stress history of crack-free and crack-afflicted spot welds are analysed and a conclusion on the borders defining the LME active region is derived.
MaUS is an acronym for ”Material und Umweltsimulationen“. Plastics are in the focus of environmental politics due to their long term behaviour and therefore to their persistence. Not only that they appear as visible contaminants in the sea and on the beach, but their unknown behaviour concerning their additives as well as the related transformation products are anxious. Therefore, we wish to establish a certified reference method to provide a method for testing plastics.
Aim of this project is the development of fast motion standard reference methods for testing plastics regarding to their environmental compatibility. To establish these testing methods, we use polystyrene (PS) and polypropylene (PP) with environmental relevant brominated flame retardants, known for their persistent bioaccumulative and toxic (PBT) properties. In case of PS the material contains 1 wt% of 1,2,5,6,9,10-hexabromocyclododecan (HBCD) and in case of PP 0.1 wt% bromodiphenylether (BDE-209), which is known as a substance of very high concern (SVHC). Furthermore, we use polycarbonate (PC), which is still used as material in baby flasks and releases Bisphenol A (BPA), an estrogenic active substance.
As an additional material PTFE is used for its importance as a source for two ubiquitous environmental substances (PFOS and PFOA), whose toxicological effects are still incompletely known.
The focus in this current work is set on the transfer of potential pollutants out of applied materials mentioned above into environmental compartments like water or soil. Here an accelerated aging concept should be developed to shortened time consuming natural processes. For these resulting simulations we use a programmable weathering chamber with dry and wet periods and with high and low temperatures. These programmes run for several weeks and according to a defined sampling schedule we take water samples, run a clean-up procedure by SPE (Molecular imprinted polymers (MiPs) resp. polymer based cartridges (Waters Oasis HLB)) and analyse them by HPLC-UV resp. LC-MS/MS. Of most interest in case of flame retardants are photocatalytic transformation products. Therefore, we conduct a non-target-screening resp. a suspected target-screening by LC-MS/MS and HRMS.
Ein neuartiger Modellierungsansatz für die Berechnung des transienten Temperaturfeldes beim Laserstrahlschweißen mit einer äquivalenten Wärmequelle wurde vorgestellt. Das numerische Modell wurde in zwei Studien unterteilt. Im ersten Teil wurde der Laserstrahlschweißprozess in einer stationären Schmelzbadsimulation untersucht. Die lokale Schmelzbadgeometrie und das Temperaturfeld wurden unter Berücksichtigung der Effekte der thermokapillaren und freien Konvektion, der latenten Wärme und der temperaturabhängigen Materialeigenschaften bis hin zur Verdampfungstemperatur ermittelt. Die Ergebnisse wurden benutzt, um eine äquivalente volumetrische Wärmequelle zu definieren. In der folgenden Studie wurde damit das transiente Temperaturfeld im geschweißten Bauteil berechnet. Die numerischen Ergebnisse wurden durch parallel laufende Experimente validiert.
Die Entwicklung von Wasserstoffbarrieren aus Glas erfordert die genaue Messung geringster H2-Permeabililtäten. Bisherige Untersuchungen haben gezeigt, dass die VHE-Pulvermethode diesbezüglich eine besonders hohe Empfindlichkeit bietet. Hierbei wird die isotherme Gasabgabe aus sphärischen Partikeln im Rahmen klassischer Diffusionsmodelle gefittet und daraus der Diffusionskoeffizient bestimmt. Für die Untersuchung von Gläsern mit möglichst geringer H2-Permeabilität ist jedoch eine Validierung der Genauigkeit der Methode notwendig. Vor diesem Hintergrund erfolgte die numerische Modellierung der H2-Abgabe mit Hilfe des Programms COMSOL Multiphysics®. Im Poster wird der Einfluss der Korngrößenverteilung der Glaspulverpartikel, der Partikelform sowie der Effekt einer nichthomogenen H2-Startverteilung auf die mittels Pulvermethode ermittelten Diffusionskoeffizienten diskutiert.
Dose enhancement by gold nanoparticles (AuNP) increases the biological effectiveness of radiation damage in biomolecules and tissue.
To apply them effectively during cancer therapy their influence on the locally delivered dose has to be determined. Hereby, the AuNP locations strongly influence the energy deposit in the nucleus, mitochondria, membrane and the cytosol of the targeted cells. In this work, two newly developed continuous and discrete-geometric models for simulations of AuNP in cells are presented. We apply the presented models in Monte-Carlo particle scattering simulations to characterize the energy deposit in cell organelles by radioactive 198AuNP. They emit beta and gamma rays and are therefore considered for applications
with solid tumors. Differences in local dose enhancement between randomly distributed and nucleus targeted nanoparticles are compared.
Hereby nucleus targeted nanoparticels showed a strong local dose enhancement in the radio sensitive nucleus.
Ionizing radiation damage to DNA plays a fundamental role in cancer therapy. X-ray photoelectron-spectroscopy (XPS) allows simultaneous irradiation and damage monitoring. Although water radiolysis is essential for radiation damage, all previous XPS studies were performed in vacuum. Here we present near-ambient-pressure XPS experiments to directly measure DNA damage under water atmosphere. They permit in-situ monitoring of the effects of radicals on fully hydrated double-stranded DNA. The results allow us to distinguish direct damage, by photons and secondary low-energy electrons (LEE), from damage by hydroxyl radicals or hydration induced modifications of damage pathways. The exposure of dry DNA to x-rays leads to strand-breaks at the sugar-phosphate backbone, while deoxyribose and nucleobases are less affected. In contrast, a strong increase of DNA damage is observed in water, where OH-radicals are produced. In consequence, base damage and base release become predominant, even though the number of strand-breaks increases further.
The aim of this research is to characterize a surface that has experienced low wear on asperities. The procedure used is similar to an Abbott-Firestone approach and based on functional bearing of projected area, surface area and material volume. Surface features extracted from surface height maps provide more comprehensive information about topography changes due to wear. Thus, they were used to detect low wear volumes on the top of asperities.
The aim of this research is to characterize a surface that has experienced low wear on asperities. The procedure used is similar to an Abbott-Firestone approach and based on functional bearing of projected area, surface area and material volume. Surface features extracted from surface height maps provide more comprehensive information about topography changes due to wear. Thus, they were used to detect low wear volumes on the top of asperities.
Implementation of soilcrete columns via jet grouting or deep soil mixing to stabilize problematic subsurface soils is common in underground construction. However, industry is faced with limited options to characterize column geometry and quality of the resulting soilcrete without excavation or destructive testing. Laboratory-scale experiments were conducted on simulated soilcrete columns using crosshole ultrasonic testing to evaluate the feasibility of acoustic tomography to characterize soilcrete geometry and quality. Data were acquired on multiple columns immediately after placement up to a curing time of 120 hours. Jet grout compressional wave velocity (VP) was estimated using a first arrival time approach and inverted to construct acoustic tomograms. Acoustic tomograms indicate that crosshole ultrasonic testing is able to characterize the changes in acoustic properties that result from jet-grout curing, locate contrasts between weaker/stronger regions in the jet grout, and estimate geometry of the column.
Structural Health Monitoring (SHM) mittels geführter Ultraschallwellen ermöglicht eine kontinuierliche Überwachung komplexer Bauteile und liefert umfangreiche Informationen über deren strukturelle Integrität. Die aufgezeichneten Signale sind jedoch komplex und werden daher zunehmend mittels KI verarbeitet, um Anomalien in der Systemintegrität automatisch zu erkennen. Eine Herausforderung dabei ist jedoch das Trainieren solcher KI-Modelle, da dafür große Mengen an Trainingsdaten inklusive diverser Schadensfälle benötigt werden, um eine hohe Genauigkeit und Zuverlässigkeit zu gewährleisten. Experimentelle Generierung dieser Daten ist wegen des enormen Zeit- und Kostenaufwands nicht möglich.
Eine Alternative hierfür bieten die numerischen Simulationen, da dadurch Trainingsdaten für beliebige Anzahl an Schadenskonfigurationen erzeugt werden können. Das Hauptproblem dabei ist jedoch die Abweichung zwischen den experimentellen und simulierten Daten (durch z.B. Abweichungen bei der Geometrie, Randbedingungen oder Materialparameter). Um diese Abweichungen zu reduzieren bzw. zu eliminieren, wird ein KI-Modell mit einer Autoencoder-Decoder Architektur vorgestellt, die mittels eines Experiments kalibriert werden kann und anschließend in der Lage ist, die Genauigkeit der Simulationsergebnisse nachträglich zu erhöhen.
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.
Dose enhancement by gold nanoparticles (AuNP) increases the biological effectiveness of radiation damage in biomolecules and tissue. To apply them effectively during cancer therapy their influence on the locally delivered dose has to be determined.[1] Hereby, the AuNP locations strongly influence the energy deposit in the nucleus, mitochondria, membrane and the cytosol of the targeted cells. To estimate these effects, particle scattering simulations are applied. In general, different approaches for modeling the AuNP and their distribution within the cell are possible. In this work, two newly developed continuous and discrete-geometric models for simulations of AuNP in cells are presented. [2] These models are applicable to simulations of internal emitters and external radiation sources. Most of the current studies on AuNP focus on external beam therapy. In contrast, we apply the presented models in Monte-Carlo particle scattering simulations to characterize the energy deposit in cell organelles by radioactive 198AuNP. They emit beta and gamma rays and are therefore considered for applications with solid tumors. Differences in local dose enhancement between randomly distributed and nucleus targeted nanoparticles are compared. Hereby nucleus targeted nanoparticels showed a strong local dose enhancement in the radio sensitive nucleus. These results are the foundation for ongoing experimental work which aims to obtain a mechanistic understanding of cell death induced by radioactive 198Au.
Dose enhancement by gold nanoparticles (AuNP) increases the biological effectiveness of radiation damage in biomolecules and tissue. To apply them effectively during cancer therapy their influence on the locally delivered dose has to be determined.[1] Hereby, the AuNP locations strongly influence the energy deposit in the nucleus, mitochondria, membrane and the cytosol of the targeted cells. To estimate these effects, particle scattering simulations are applied. In general, different approaches for modeling the AuNP and their distribution within the cell are possible. In this work, two newly developed continuous and discrete-geometric models for simulations of AuNP in cells are presented. [2] These models are applicable to simulations of internal emitters and external radiation sources. Most of the current studies on AuNP focus on external beam therapy. In contrast, we apply the presented models in Monte-Carlo particle scattering simulations to characterize the energy deposit in cell organelles by radioactive 198AuNP. They emit beta and gamma rays and are therefore considered for applications with solid tumors. Differences in local dose enhancement between randomly distributed and nucleus targeted nanoparticles are compared. Hereby nucleus targeted nanoparticels showed a strong local dose enhancement in the radio sensitive nucleus. These results are the foundation for ongoing experimental work which aims to obtain a mechanistic understanding of cell death induced by radioactive 198Au.
Dose enhancement by gold nanoparticles (AuNP) increases the biological effectiveness of Radiation damage in biomolecules and tissue. To apply them effectively during cancer therapy their influence on the locally delivered dose has to be determined. Hereby, the AuNP locations strongly influence the energy deposit in the nucleus, mitochondria, membrane and the cytosol of the targeted cells. To estimate these effects, particle scattering simulations are applied. In general, different approaches for modeling the AuNP and their distribution within the cell are possible. In this work, two newly developed continuous and discrete-geometric models for simulations of AuNP in cells are presented.
These models are applicable to simulations of internal emitters and external radiation sources. Most of the current studies on AuNP focus on external beam therapy. In contrast, we apply the presented models in Monte-Carlo particle scattering simulations to characterize the energy deposit in cell organelles by radioactive 198AuNP. They emit beta and gamma rays and are therefore considered for applications with solid tumors. Differences in local dose enhancement between randomly distributed and nucleus targeted nanoparticles are compared. Hereby nucleus targeted nanoparticels showed a strong local dose enhancement in the radio sensitive nucleus. These results are the foundation for future experimental work which aims to obtain a mechanistic understanding of cell death induced by radioactive 198Au.
Modelling becomes more and more important in modern NDE. It is increasingly used to optimize techniques for complex applications, to support the preparation of written procedures, and for education purposes. To describe the complete chain of RT, the model includes simulating all necessary properties of X- or Gamma-ray sources, the interaction of photons with material with special attention to scattered radiation, the detection process, and the complete geometrical RT setup handling arbitrary parts or constructions. Depending on the given inspection problem and the influencing factors that should be addressed by the simulation, an appropriate physical model has to be chosen to describe the underlying interaction mechanisms. The simulator aRTist combines analytical and Monte Carlo methods to efficiently model the radiation transport such that transmission as well as scatter techniques can be modelled. In this contribution we Focus on Monte Carlo Simulation of scatter contribution within aRTist. Examples for RT/tomographic applications and back-scatter techniques are presented to demonstrate the usability of the presented simulation tool for a broad range of radiological applications.
Modelling becomes more and more important in modern NDE. It is increasingly used to optimize techniques for complex applications, to support the preparation of written procedures, and for education purposes. To describe the complete chain of RT, the model includes simulating all necessary properties of X- or Gamma-ray sources, the interaction of photons with material with special attention to scattered radiation, the detection process, and the complete geometrical RT setup handling arbitrary parts or constructions. Depending on the given inspection problem and the influencing factors that should be addressed by the simulation, an appropriate physical model has to be chosen to describe the underlying interaction mechanisms. The simulator aRTist combines analytical and Monte Carlo methods to efficiently model the radiation transport such that transmission as well as scatter techniques can be modelled. In this contribution we focus on Monte Carlo simulation of scatter contribution within aRTist. Examples for RT/tomographic applications and back-scatter techniques are presented to demonstrate the usability of the presented simulation tool for a broad range of radiological applications.
Computer simulation tools were used to evaluate pedestrian movement. This study compares the reliability of three simulation tools and the calculation method by Predtetschenski und Milinski with a controlled evacuation exercise of a lecturer room. The comparison shows that each simulation tool used underestimate the total evacuation time and that an indicator for a low level of fitness does not necessarily lead to a long evacuation time. Results revealed that calibration of simulation tools is required to model heterogeneous population properly. Therefore, further experiments with a realistic, heterogeneous composition of participants have to be made.
Computational Advances
(2014)
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.
Das Poster stellt ein Konzept zur Bewertung der strukturellen Integrität von havarierten Tankbehältern vor. Es wurde ein dehnungsbasiertes Konzept eingeführt, welches einen Brückenschlag zwischen duktiler Schädigung und dem Integritätszustand des Behälters herstellt. Diese Thematik entspringt aus einem Kooperationsvorhaben der Organisationseinheiten 5.2 und 3.2.
Bei der simulationsunterstützten Planung kritischer Ultraschallprüfaufgaben ist die detaillierte Kenntnis der Parameter der eingesetzten Prüfköpfe von entscheidender Bedeutung. Durch die, in den Regelwerken (DIN EN ISO 22232-2) zugelassenen Toleranzen bei der Herstellung der Prüfköpfe sind einige Prüfkopfparameter nur ungefähr bekannt. Durch die Alterung von Prüfköpfen und Verschleiß können auch Parameter variieren, die nicht vollständig durch die erforderliche Justierung ausgeglichen werden können. Daher sind zusätzlichen Vorversuche oft unvermeidlich. In dieser Arbeit wurden nach einer statistischen Versuchsplanung (DoE) Untersuchungen zur relativen Echo-Empfindlichkeit von konventionellen Prüfköpfen durchgeführt. Die Auswertung wurde für prüfkopfbezogene und personenbezogene Stichproben durchgeführt. Es wird gezeigt, wie weit die Daten um den Zentralwert herum verteilt sind bzw. wie sehr sich das Testobjekt im untersuchten Merkmal unterscheidet. Gerade in Hinblick auf die Beurteilung der intrinsischen Fähigkeit von Prüfverfahren und der Human Factors wird das POD-Analysekonzept zur quantitativen Bewertung der Zuverlässigkeit weiterentwickelt. Die HF-Quantifizierung bezieht sich auf verschiedene Faktoren und Methoden, die in der Veröffentlichung von M. Bertovic et al. [1] ausführlich beschrieben wurden. Die Schritte, die für das Bewertungsverfahren zur POD-Analyse erforderlich sind, werden in der Veröffentlichung von D. Kanzler et al. [2] detailliert dargestellt. Die grundlegenden Anforderungen an die Testkörpersätze für die POD-Analyse wurden in der Publikation von A. Jüngert et al. [3] zusammengefasst. Diesbezüglich wurden mit Hilfe von Simulationsrechnungen die möglichen Abweichungen an Beispielen der im Projekt norm- POD ausgewählten Prüfanordnungen dargestellt. Die Ergebnisse wurden Messungen an Testkörpern gegenübergestellt.
In this paper the Scaled Boundary Finite Element Method (SBFEM) is applied for the simulation of Lamb waves in cracked plates. This method is highly advantageous to study the interaction of different Lamb wave modes with cracks as the crack is not discretized and no refinement is required around the crack tip. Numerical examples are presented for the reflection of the fundamental symmetric and antisymmetric modes from cracks of different depth. The spatial Fourier transformation is employed to calculate the amplitudes of reflected Lamb wave modes. The results reveal possibilities to obtain details of the crack geometry in non-destructive testing and structural health monitoring applications.
Does ultra-mild wear play any role for dry friction applications, such as automotive braking?
(2012)
Nanostructured third body films and/or storage of wear debris at the surfaces of the first bodies are deemed as prerequisites of sliding under ultra-mild wear conditions. Since such features have been observed experimentally on brake pads and discs, attempts were undertaken to study their sliding behaviour by modelling on the nanoscopic scale with an approach based on Movable Cellular Automata (MCA). The model rendered the possibility to study the influence of different nanostructures systematically and to assess the impact of different brake pad ingredients on the sliding behaviour, velocity accommodation and friction force stabilization at a sliding contact. Besides providing a review on previously published modelling results, some additional new graphs enabling better visualization of dynamic processes are presented. Although ultra-mild wear conditions were considered to be essential for achieving the desired tribological properties, transitions to mesoscopic and macroscopic wear mechanisms were studied as well. The final conclusion is that ultra-mild wear and corresponding smooth sliding behaviour play an important role during automotive braking, even though temporarily and locally events of severe wear may cause friction instabilities, surface damage and release of coarse wear particles.
The safety assessment of casks for radioactive material at interim storage facilities or in final repositories includes the investigation of possible handling accidents if clearly defined test conditions are not available from the regulations. Specific handling accidents usually are the drop of a cask onto the transport vehicle or the floor as well as the collision with the wall of the storage building or another cask. For such load cases an experimental demonstration of cask safety would be difficult. Therefore, numerical analyses of the entire load scenario are preferred. The lessons learnt from dynamic finite element analyses of accident scenarios with thick-walled cubical containers or cylindrical casks are presented. The dependency of calculation results on initial and boundary conditions, material models, and contact conditions is discussed. Parameter sets used should be verified by numerical simulation of experimentally investigated similar test scenarios. On the other hand, decisions have to be made whether a parameter or property is modeled in a realistic or conservative manner. For example, a very small variation of the initial impact angle of a container can cause significantly different stresses and strains. In sophisticated cases an investigation of simpler limit load scenarios could be advantageous instead of analyzing a very complicated load scenario.
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.
Radiografische Simulationswerkzeuge wie aRTist, ScorpiusXLab, SimCT oder CIVA CT verwenden analytische Methoden und physikalische Monte-Carlo-Teilchentransportsimulationen, um die Interaktionsprozesse zwischen Röntgenstrahlung und Materie zu simulieren. Die berechneten Projektionen bilden anschließend unter Berücksichtigung einer definierten Scan-Trajektorie die Basis der Simulation einer röntgencomputertomografischen Untersuchung.
Für den erfolgreichen Einsatz der Computertomografie, sei es als zerstörungsfreie Prüfmethode oder beim dimensionellen Messen, ist es generell notwendig, bekannte Fehler- bzw. Abweichungsquellen des Messverfahrens auszuschließen oder zu reduzieren. Dabei hat sich gezeigt, dass die Auswahl der Messparameter und die Erfahrung des Anwenders direkten Einfluss auf das erzielbare Messergebnis einer computertomografischen Untersuchung nehmen. Es ist daher sinnvoll, die Parameterauswahl in einem virtuellen Simulationsaufbau vorher zu erproben und an die Messaufgabe anzupassen.
Neben der Optimierung von Messparametern finden radiografische Simulationswerkzeuge auch Anwendung für Machbarkeitsstudien und werden zur Schulung von Anwendern im Bereich der Röntgen-Computertomografie verwendet.
Radiografische Simulationswerkzeuge befinden sich in einem stetigen Wandel, beispielsweise durch die Entwicklung neuer Rekonstruktionsmethoden, durch Erweiterung von analytischen Modellen, durch Integration komplexer Trajektorien oder durch Berücksichtigung von prozessbedingten geometrischen Abweichungen. Im laufenden EMPIR-Projekt „AdvanCT“ entsteht deshalb ein „Good Practice Guide“ für die Simulationsumgebung aRTist. Ziel dieses Guides ist es, die mit steigender Komplexität verbundenen Einstiegshürden für Anwender von aRTist zu reduzieren, um damit einen praxisnahen Zugang zur virtuellen Computertomografie zu ermöglichen. Dabei werden anhand von praktisch nachvollziehbaren Beispielen die grundlegenden Mechanismen der Simulationsumgebung erklärt und ein strukturierter Leitfaden zur Simulation röntgencomputertomografischer Untersuchungen mit aRTist vermittelt.
In diesem Beitrag werden erste Auszüge des Guides sowie eine Übersicht der weiteren geplanten Themen für die anschließende Diskussion vorgestellt.
Zur Aufstellung einer Wärmebilanz an der Fahrbahnoberfläche von Asphaltbefestigungen wurden die zu berücksichtigenden Wärmetransportvorgänge und deren mathematische Ansätze im Rahmen eines Literaturstudiums zusammengestellt. Validierungsberechnungen anhand von Messungen an einer Betonfahrbahn haben ergeben, dass das eingesetzte Rechenprogramm alle an der Fahrbahn-oberfläche auftretenden Wärmetransportvorgänge sehr gut simulieren kann.
Der Einfluss heller Gesteinskörnungen in der Asphaltdeckschicht auf die Wärmebilanz an der Straßen-oberfläche wurde für zwei typische Bauweisen mit Asphaltdeckschicht (Autobahn bzw. Landstraße) in zwei Varianten (mit bzw. ohne hydraulisch gebundene(r) Tragschicht) mittels Parametervariation untersucht. Als klimatische Randbedingungen wurden ein extrem heißer Sommertag bzw. ein extrem kalter Wintertag in Anlehnung an die Wetterverhältnisse der Region Freiburg im Jahr 2003 zugrunde gelegt.
Im Sommer können tagsüber durch ein erhöhtes Reflexionsvermögen infolge Aufhellung der Fahrbahnoberfläche bei der Autobahn und der Landstraße große Absenkungen der Oberflächen-temperatur erzielt werden, was die Gefahr der Spurrinnenbildung vermindern kann. Eine Erhöhung der Wärmeleitfähigkeit der Asphaltdeckschicht bewirkt nur wenige Kelvin Temperaturrückgang. Eine Änderung des Wärmespeichervermögens der Asphaltdeckschicht hat keinen signifikanten Einfluss auf deren Oberflächentemperatur. Im Winter ergeben sich tendenziell die gleichen Auswirkungen, aber in abgeschwächter Form, was die Gefahr der Eisbildung erhöhen und damit die Verkehrssicherheit beeinträchtigen kann. Trotz unterschiedlichem Schichtenaufbau und unterschiedlicher Stoffkennwerte differieren die Oberflächentemperaturen von Autobahn und Landstraße nur sehr wenig. Das Vorhan-densein einer hydraulisch gebundenen Tragschicht wirkt sich nicht auf die Oberflächentemperatur der Asphaltdeckschicht aus.
Mittels Regressionsanalyse wurden schließlich allgemeingültige funktionale Zusammenhänge zwischen den Einflussgrößen und der Oberflächentemperatur als Zielgröße aufgestellt.
Elastic wave propagation of ultrasound in bituminous road surfaces – simulations and measurements
(2015)
Maintenance costs of road infrastructure are increasing steadily. Adverse environmental impacts on infrastructure get more and more important as well. Therefore, it is important to determine how limited financial resources can be directed with an optimum pay-out. The present study takes first steps towards the usage of low-frequency ultrasound as a tool to evaluate the road condition.
The kinetic energy of keV electrons backscattered from a rutile (TiO2) surface depends measurably on the mass of the scattering atom. This makes it possible to determine separately the angular distribution of electrons backscattered elastically from either Ti or O. Diffraction effects of these backscattered electrons inside the rutile crystal lead to the formation of Kikuchi patterns. The element-resolved Kikuchi patterns of Ti and O differ characteristically, but each can be described fairly well in terms of the dynamical theory of diffraction. Qualitatively, much of the differences can be understood by considering the relative arrangement of the Ti and O atoms with respect to planes defined by the crystal lattice.
Enhanced photon upconversion using erbium-doped nanoparticles interacting with silicon metasurfaces
(2021)
Photon upconversion (UC) using trivalent erbium (Er+3) doped crystals is a promising concept to harness near infrared photons of the solar spectrum which cannot be directly absorbed by silicon solar cells. However, their UC efficiency at low-intensity 1 sun illumination is not relevant on device level so far. Exploiting giant near-field enhancement effects on metasurfaces is an appealing approach to enable efficient UC at low irradiance conditions. Here, we report on more than 1000-fold enhanced photon UC of NaYF4:Er+3 nanoparticles interacting with the near-fields supported by a silicon metasurface under 1550 nm excitation.
Ermittlung dynamischer Kennwerte von Dämpferbeton für die Simulation des Beanspruchungsverhaltens
(2016)
Die Sicherheit und Integrität von Verpackungen radioaktiver Stoffe wird anhand von numerischen Berechnungen bewertet. Bei einem Anprall oder Absturz sind die mechanischen Beanspruchungen auf die Behälter auch von den Eigenschaften des Untergrunds abhängig. Um potentielle Gefahren während der Verladung zu minimieren, wird energieabsorbierender Dämpferbeton in den Handhabungsbereichen nuklearer Lager eingesetzt.
Zu einer umfassenden sicherheitstechnischen Analyse und Bewertung gehört die Berücksichtigung des Beanspruchungsverhaltens von Dämpferbeton. Hierfür ist ein numerisches Materialmodell notwendig, das in der Literatur bisher nicht vorlag. Die dafür notwendigen dynamischen Kennwerte sind in verschiedenen Druck- und Eindringversuchen ermittelt worden. Dazu wurden dynamische Druckversuche an würfelförmigen Prüfkörpern durchgeführt, sowie Eindringversuche mit unterschiedlichen Eindringkörpern und Dämpferbetonproben. Die experimentell ermittelten Kennwerte wurden verwendet, um ein Materialmodell für Dämpferbeton zu entwickeln und kritische Beanspruchungsszenarien numerisch zu berechnen. Um die Qualität des Materialmodells zu überprüfen, wurde ein realitätsnaher Fallversuch eines Behälters in Originalgröße auf ein lagertypisches Dämpferbetonfundament durchgeführt.
In dem Beitrag sollen die unterschiedlichen Untersuchungen zur Ermittlung dynamischer Kennwerte sowie deren Ergebnisse dargestellt werden. Gezeigt werden ebenso numerische Nachberechnungen einzelner Versuche sowie die ausführliche Berechnung des Fallversuchs im Originalmaßstab. Experimentelle und numerische Ergebnisse aus der Simulation werden hier gegenübergestellt.
In diesem Forschungsvorhaben erfolgte eine Überprüfung der Übertragbarkeit der Werkstoff- und Rechenmodelle für die Lebensdauervorhersage von ATL-Heißteilen unter TMF-Beanspruchung auf eine andere Werkstoffklasse, d. h. auf eine austenitische Gusseisenlegierung mit Kugelgraphit. Dafür wurde die Legierung EN-GJSA-XNiSiCr35-5-2 (Ni-Resist D-5S) ausgewählt. Zunächst wurde für diesen Werkstoff eine experimentelle Datenbasis geschaffen, da diese vor Beginn des Vorhabens nicht ausreichend war. Dazu wurden Zug-, Kriech-, LCF- und TMF-Versuche durchgeführt, die der Kalibrierung der Modelle dienten. Unter TMF-Belastung zeigte der untersuchte Werkstoff ein stark abweichendes Verhalten von den im vorangegangenen Vorhaben untersuchten ferritischen SiMo-Legierungen: Der Werkstoff Ni-Resist zeigte insgesamt eine vergleichbare Festigkeit unter OP- und IP-Bedingungen, während die ferritischen Legierungen unter IP-Beanspruchung eine deutlich höhere Festigkeit aufweisen. Mit zunehmenden Temperaturen und Haltezeiten unter Zugspannungen wurden dagegen beim Werkstoff Ni-Resist Hinweise auf Kriechschädigung gefunden, die schädigungsrelevant sind. Auch dies ist ein deutlicher Unterschied zu den SiMo-Legierungen. Das Spannungs-Verformungs-Verhalten in den LCF- und TMF-Versuchen wird durch das Modell auch für den neuen Werkstoff überwiegend gut beschrieben. Das Gleiche gilt für die Lebensdauervorhersage, die mit Ausnahme der Prüftemperatur 900 °C innerhalb eines Fak-tors zwei liegt. Eine Verifikation des Modells erfolgte mit Hilfe eines Bauteilversuchs an einem Abgassammler, der abwechselnd mit heißem und kaltem Gas durchströmt wurde. Ziel der Bauteilsimulation war insbesondere die Vorhersage der Rissbildungsorte. Eine Vorhersage der exakten Lebensdauer wurde nicht erwartet, da das Bauteil mit einer Gusshaut behaftet war, während die für die Kalibrierung des Lebensdauermodells verwendeten Versuche an bearbeiteten, glatten Proben ohne Gusshaut durchgeführt wurden. Die überwiegende Anzahl der experimentell ermittelten Rissorte wurden vorhergesagt. Schließlich war ein wesentliches Ziel des Vorhabens, den Einfluss von HCF-Schwingungen auf die TMF-Lebensdauer vertieft experimentell zu untersuchen und das bereits bestehende Lebensdauermodell auf HCF-Überlagerung zu erweitern. Dazu wurde zunächst die Daten-basis aus dem Vorgängervorhaben am Bespiel von SiMo 4.05 deutlich ausgebaut, um die verschiedenen Einflussparameter zu erfassen. Es wurde ein Ansatz entwickelt, in dem die Lebensdauerminderung durch die überlagerten HCF-Schwingungen abgebildet wird. Dabei wird davon ausgegangen, dass ab einer bestimmten Risstiefe die Überlagerung der HCF-Schwingungen die Rissausbreitung stark beschleunigt. Der Zeitpunkt, wann diese Beschleunigung eintritt, wird als maßgeblich für die Lebensdauerminderung angesehen. Mit diesem Ansatz lassen sich die Lebensdauern für beide Werkstoffe in guter Übereinstimmung mit dem Experiment vorhersagen.
Different approaches have been attempted so far to reduce fuel consumption and linked pollutants, including vehicle equipment and design, with rational driving style being recognized as a potential source of fuel savings. However, no specific methodology had been suggested so far to assess fuel economy of driving other than the fuel consumed itself. In this paper, the Standard deviation of driving acceleration has been found to be directly associated to fuel consumption, so that the less dispersion of the driving acceleration, produces the lower fuel consumptions and emissions. Such metric could be thus used to assess driving style.
The understanding of human behavior during evacuation processes is an important matter to improve the safety of infrastructures. In many countries, the implementation of performance based codes enables fire safety engineers to use computer based calculation tools to predict and evaluate pedestrian movement and human behavior in buildings. The models are based on experimentally obtained parameters and theoretical models. Pedestrian behavior can be influenced by the characteristics of the buildings (e.g. type of the building) as well as the characteristics of individuals and the pedestrian group.
This paper shows that the approach of Required Safe Egress Time (RSET) / Available Safe Egress Time (ASET) is imprecise with regard on heterogeneous pedestrian groups, because this concept completely neglected the variability’s in individual pre-movement and movement abilities.
The understanding of human behavior during evacuation processes is an important matter to improve the safety of infrastructures. In many countries, the implementation of performance based codes enables fire safety engineers to use computer based calculation tools to predict and evaluate pedestrian movement and human behavior in buildings. The models are based on experimentally obtained parameters and theoretical models. Pedestrian behavior can be influenced by the characteristics of the buildings (e.g. type of the building) as well as the characteristics of individuals and the pedestrian group.
This paper shows that the approach of Required Safe Egress Time (RSET) / Available Safe Egress Time (ASET) is imprecise with regard on heterogeneous pedestrian groups, because this concept completely neglected the variability’s in individual pre-movement and movement abilities.
Evakuierung von Gebäuden
(2016)
To study the mechanical interface behavior of single-walled carbon nanotubes (CNTs) embedded in a noble metal, we performed CNT-metal pull-out tests with in situ scanning electron microscope experiments. Molecular dynamics (MD) simulations were conducted to predict force-displacement data during pull-out, providing critical forces for failure of the system. In MD simulations, we focused on the influence of carboxylic surface functional groups (SFGs) covalently linked to the CNT. Experimentally obtained maximum forces between 10 and 102 nN in palladium and gold matrices and simulated achievable pulling forces agree very well. The dominant failure mode in the experiment is CNT rupture, although several pull-out failures were also observed. We explain the huge scatter of experimental values with varying embedding length and SFG surface density. From simulation, we found that SFGs act as small anchors in the metal matrix and significantly enhance the maximum forces. This interface reinforcement can lead to tensile stresses sufficiently high to initiate CNT rupture. To qualify the existence of carboxylic SFGs on our CNT material, we performed analytical investigation by means of fluorescence labeling of surface species and discuss the results. With this contribution, we focus on a synergy between computational and experimental approaches involving MD simulations, nano scale testing, and analytics (1) to predict to a good degree of accuracy maximum pull-out forces of single-walled CNTs embedded in a noble metal matrix and (2) to provide valuable input to understand the underlying mechanisms of failure with focus on SFGs. This is of fundamental interest for the design of future mechanical sensors incorporating piezoresistive single-walled CNTs as the sensing element.
A novel method for predictions of the sound pressure distribution in acoustic levitators is based on a matrix representation of the Rayleigh integral. This method allows for a fast calculation of the acoustic field within the resonator. To make sure that the underlying assumptions and simplifications are justified, this approach was tested by a direct comparison to experimental data. The experimental sound pressure distributions were recorded by high spatially resolved frequency selective microphone scanning. To emphasize the general applicability of the two approaches, the comparative studies were conducted for four different resonator geometries. In all cases, the results show an excellent agreement, demonstrating the accuracy of the matrix method.
In this project, the transfer of material and computational models to a different material class, i. e. to an austenitic cast iron with spherical graphite, was studied to predict the lifetime of exhaust turbocharger hot parts under TMF load. Therefore, the alloy EN-GJSA-XNiSiCr35-5-2 (Ni-Resist D-5S) was chosen. Firstly, an experimental database was established for this material because it was insufficient at the beginning of the project. Tensile, creep, LCF and TMF tests were carried out, which served the calibration of the models. The TMF tests were used to validate the deformation model.
The investigated material showed a strongly deviating behavior under TMF conditions compared to the ferritic SiMo alloys investigated in the previous project: Ni-Resist exhibited a comparable strength under OP- and IP-TMF loading, while the ferritic alloys showed a distinct higher strength under IP-TMF load. Evidence for creep damage was found for Ni-Resist with increasing temperatures and hold times under tensile load. This is also a distinct difference to the SiMo alloys.
The stress-strain behavior of the LCF and TMF tests is well described by the model for the new material in most cases. The same is true for the lifetime prediction, which is within a factor of two, except for 900 °C. The model was verified by a thermal shock test of an exhaust man-ifold. The aim of the simulation was in particular to predict the crack locations. An accurate prediction of the cycle number was not expected, as the component is afflicted with a casting skin, while the test pieces were not. The predominant number of experimentally determined locations were predicted.
A fundamental objective of this project was to study the effect of HCF vibrations on the TMF lifetime experimentally in further detail and to extend the existing lifetime model to account for superimposed HCF load. In a first step, the database of the previous project based on SiMo 4.05 was considerably extended to determine the different influencing parameters. A proce-dure was developed which reproduces the lifetime reduction by the superimposed HCF vibra-tions during a TMF cycle. It is assumed that the superimposed HCF load accelerates the crack propagation considerably after exceeding a certain crack length. The time when the accelera-tion occurs, is significant for the lifetime reduction. This approach allows predicting the lifetimes in good agreement with the experiments for both materials.
Der Hauptaspekt der vorliegenden Dissertation ist die Sensitivitätsanalyse der FE- Schweißsimulation, basierend auf einer Variation der Werkstoffkennwerte, sowie deren Einfluss auf das transiente Temperaturfeld und die Verzüge. Dabei wird das Streuband der Werkstoffkennwerte für den gesamten Temperaturbereich sowie für diskrete Temperaturintervalle, die aus der Metallurgie und den experimentellen Randbedingungen abgeleitet sind, betrachtet. Die Untersuchung findet an drei verschiedenen Legierungen statt, welche zurzeit gebräuchliche Werkstoffe im Automobilbau innerhalb der folgenden Hauptlegierungsgruppen darstellen: • hochfester Dualphasenstahl • austenitischer Chrom-Nickel-Stahl • aushärtbare Aluminiumlegierung Die betrachteten Kennwerte sind Wärmeleitfähigkeit, spezifische Wärmekapazität und Dichte sowie E-Modul, Dehngrenze, thermische Dehnung, Querkontraktionszahl und Verfestigungsverhalten. Die Untersuchungen zeigen den großen Einfluss der spezifischen Wärmekapazität und der Dichte auf das berechnete Temperaturfeld und die anschließend ermittelten Verzüge. Mit Blick auf die thermomechanischen Kennwerte werden die Verzüge hauptsächlich von der thermischen Dehnung, dem E-Modul und der Dehngrenze beeinflusst. Die wichtigen thermophysikalischen und thermomechanischen Kennwerte werden für alle drei Legierungen gemessen. Diese sehr genauen Daten werden für eine Simulation ohne die möglichen Fehlerquellen der Streuung der Werkstoffkennwerte verwendet. Die Daten der Werkstoffkennwerte werden dann entsprechend der bekannten Streubänder variiert um die Sensitivität der simulierten Temperaturzyklen und Verzüge zu ermitteln. Die Berechnungsergebnisse werden über Schweißversuche an ebenen Platten mit Laserstrahl- Blindnähten validiert (Thermoelementmessungen, Nahtquerschliffe und Wegaufnehmermessungen der Verzüge). Darüber hinaus werden die Ergebnisse anhand einer Schweißsimulation und Verzugsoptimierung eines industriell relevanten Bauteils überprüft. Die Ergebnisse, Meinungen und Schlüsse dieser Dissertation sind nicht notwendigerweise die der Volkswagen AG.
To simulate a full fire engulfment during transportation or storage a closed removable head steel drum filled with 200 l Di-tert-butyl peroxide (DTBP) is subjected to a wood fire. Due to the enormous heat flux and the exothermic self-decomposition large flames arise and finally multiple fireballs occur. The fireballs consume up to 20 % of the total mass (20 % equals to 31 kg). They are characterized by high surface emissive power and large flames associated with high thermal radiation causing spontaneous ignition of objects in the surrounding. The measured sizes of the DTBP fireballs are smaller compared to the results of the general equations for hydrocarbon fireballs. Because these equations are recommended by the Health and Safety Executive (UK) to be applicable for organic peroxides explicit comparisons of DTBP with LPG, diesel and gasoline concerning the characteristics of fireballs are carried out. Also the burning time is compared and confirms a faster combustion of the peroxide. Moreover, the development of size and emissive power for DTBP and diesel fireballs are compared in a normalized graph. The results provide the assumption that new empirical models are required to be developed for hazard assessment of organic peroxide fireballs.
To simulate a full fire engulfment during transportation or storage a closed removable head steel drum filled with 200 l Di-tert-butyl peroxide (DTBP) is subjected to a wood fire. Due to the enormous heat flux and the exothermic self-decomposition large flames arise and finally multiple fireballs occur. The fireballs consume up to 20 % of the total mass (20 % equals to 31 kg). They are characterized by high surface emissive power and large flames associated with high thermal radiation causing spontaneous ignition of objects in the surrounding. The measured sizes of the DTBP fireballs are smaller compared to the results of the general equations for hydrocarbon fireballs. Because these equations are recommended by the Health and Safety Executive (UK) to be applicable for organic peroxides explicit comparisons of DTBP with LPG, diesel and gasoline concerning the characteristics of fireballs are carried out. Also the burning time is compared and confirms a faster combustion of the peroxide. Moreover, the development of size and emissive power for DTBP and diesel fireballs are compared in a normalized graph. The results provide the assumption that new empirical models are required to be developed for hazard assessment of organic peroxide fireballs.
Although being a very promising area of concrete technology, computational modeling of fresh concrete flow is a comprehensive and time consuming task. The complexity and required computation time are additionally increased when simulating casting of heavily reinforced sections, where each single reinforcement bar has to be modeled. In order to improve the computation speed and to get closer to a practical tool for simulation of casting processes, an innovative approach to model reinforced sections is proposed here. The basic idea of this approach is to treat the reinforcement zone as a porous medium in which a concrete is propagating. In the present paper, the numerical implementation of this concept is described. A methodology allowing for the computation of the equivalent permeability of the steel bars network is suggested. Finally, this numerical technique efficiency is evaluated by a comparison with experimental results of model fluids casting in model formworks.
Automotive braking is based on dry friction between fixed pads and a rotating disc. Besides macroscopic thermo-physical properties, the development of topographic features on the mesoscopic scale and the nanostructure of the third body formed by wear processes, determine brake performance properties. Whereas modelling on the atomistic scale is suitable to understand mechanisms leading to nanocrystalline surface films, the properties of such films can be assessed best with a model based on movable cellular automata (MCA). It turned out that the presence of at least 10% of soft nanoinclusions is most essential in respect to smooth sliding conditions. It made no major difference whether graphite or copper particles were assumed as soft nanoinclusions. The third body material is not only the stuff which spreads over contact areas, but it also contributes to contact size by wear particle compaction and formation of secondary contact areas. The evolution of contact size is the major feature of mesoscopic modelling and thus it is capable to model and explain dynamic changes of the coefficient of friction (COF) during certain brake operations. Although it is still ambiguous in many cases which feature has the major impact on friction behaviour, the following conclusions can be drawn. The reinforcing ingredients of the pad material serve as primary contact sites and thus define the starting condition for mesoscopic simulations. A certain amount of wear is necessary to provide a third body which is capable to form secondary contact sites and friction layers screening the first body materials. The composition and nanostructure of the third body is important as well, because it determines the friction level and is responsible for smooth sliding conditions.
The behavior of amorphous polymers in contact with gas atmospheres is still an area of both fundamental scientific and applied industrial research. Applications range from the use as barrier materials or protective coatings to active layers in sensor applications (‘artificial nose’) and the large field of gas separation membranes. In all these applications, high concentrations of small penetrant molecules may lead to a plasticization of the polymer. This effect is utilized in processing applications, where supercritical carbon dioxide (CO2) can be used as a plasticizer.4 The phenomenon of penetrant induced plasticization of glassy polymers is also observed in gas separation membranes.5 In the process of natural gas sweetening, the CO2 content of the gas mixture is reduced by separation of the CO2 from the fuel gas methane (CH4) to avoid corrosion of pipelines and to enhance the fuel value. Solubility and diffusivity of the respective gas determine the separation performance of the membrane material, i.e., the permselectivity. Both parameters are connected to the internal structure of the polymer and its free volume. To achieve high throughputs, e.g. to enhance costeffectiveness, it is desirable to increase the CO2 solubility and mobility. However, the observed plasticization and the associated relaxations in the polymer matrix change its structure and free volume, and thereby affect the selectivity of the material.6 In addition, other properties of the polymer are influenced, e.g. a reduction of glass transition temperature,7 yield stress8 and creep compliance9 have been observed. The origin and mechanism of these structural relaxations are poorly understood, as are the factors that influence solubility and mobility of the plasticizing penetrant. This lack of knowledge leads to a development of new or optimized materials, which is in part determined by trial and error. A deeper understanding of the phenomena that accompany gas sorption on the molecular level is therefore needed to control material properties and enable a targeted design of functional materials. Therefore, in this work, laboratory experiments are combined with detailed atomistic molecular simulations. Modelling. In detailed atomistic molecular modeling, the interactions of an assembly of atoms, e.g. a polymer molecule, are calculated according to known physical laws. Several established analysis methods allow an indirect determination of certain properties of such assemblies, others can even be directly calculated.10 However, CPU-power limits both the size and the simulation time of such assemblies. The size of the simulated packing models used in this work (_ 5000 atoms) ranges among the larger models found in the literature. Forcefield based Molecular Dynamics (MD) simulations are calculated in femtosecond steps, but reliable results are usually not obtained until a nanosecond of net simulation time has been performed. Millions of interactions need to be calculated, making the time effort for these ‘virtual experiments’ comparable to laboratory experiments. However, increasing speed of single processors and the possibility of parallel processing will further reduce the evaluation times for such simulations in the future. The goal of computer simulations is therefore to establish reliable methods to predict material properties. Properties of new materials could then be assessed by simulations first and only the most promising materials need to be synthesized for further testing, reducing the expense of trial and error. Although some methods already exist to predict polymer/gas properties from simulations, which show well agreeing results in ideal circumstances, they frequently fail when applied to less moderate conditions, e.g., high penetrant concentrations, long time scales, large penetrants etc. The aforementioned gas induced plasticization of polymers presents such a case where the gap of time scales between experiment and available simulation time amounts to several orders of magnitude. The time scale of simulations is limited to a few nanoseconds and therefore it is not possible to directly simulate relaxations of the glassy matrix as they are observed experimentally. Experiments, on the other hand, yield results of the real macroscopic system, and though molecular details cannot be observed individually, the accumulated effects permit the analysis through models on a statistical or phenomenological basis. It is the aim of this work to survey new approaches of a combined analysis of experimental and modelling results and to establish, where possible, a convergence of boundary conditions or, alternatively, an identification and isolation of comparable aspects of these seemingly incompatible methods of research. To this effect, phenomenological models are utilized as a means of interpretation of experimental data as well as to construe modelling results.
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.
GlasDigital
(2023)
Der aktuelle Stand des MateriaDigital1 Projektes GlasDigital wird vorgestellt. Hierbei wird allgemein die Problem- und Zielstellung präsentiert, als auch auf 2 separaten Postern die Ergebnisse. Diese beinhalten zum Einen die smarte Gestaltung der robotergestützten Glasschmelzanlage der BAM inkl. Analytik und zum Anderen die Digitalisierungsbestrebungen im Bereich Glas, d.h. ML-gestützte C-S-P-Simulation, Ontologie für den Werkstoff Glas, Digitaler Zwilling des Gießprozesses.
Soft polymers such as the investigated polyurethane, characterized by low Young’s moduli and prone to high shear deflection, are frequently applied in pneumatic cylinders. Their performance and lifetime without external lubrication are highly determined by the friction between seal and shaft and the wear rate. FEM simulation has established itself as a tool in seal design processes but requires input values for friction and wear depending on material, load, and velocity. This paper presents a tribological test configuration for long stroke, reciprocating movement, allowing the generation of data which meet the requirements of input parameters for FEM simulations without the geometrical influences of specific seal profiles. A numerical parameter study, performed with an FEM model, revealed the most eligible sample geometry as a flat, disc-shaped sample of the polymer glued on a stiff sample holder. At the same time, the study illustrates that the sensitivity of the contact pressure distribution to Poisson’s ratio and CoF can be minimized by the developed and verified setup. It ensures robust, reliable, and repeatable experimental results with uniform contact pressures and constant contact areas to be used in databases and FEM simulations of seals, enabling upscaling from generically shaped samples to complex seal profiles.
The selective emitter is a well-known technology for producing highly doped areas under the metallization grid to improve the solar cell performance. In this work, the influence of laser irradiation on phosphoric acid coated multicrystalline silicon PV-wafers on the wafer surface structure, the phosphorous depth distribution and the electrical contact resistance within the laser treated area as well as the electrical series resistance of laserprocessed solar cells was evaluated. Different laser processing settings were tested including pulsed and continuous wave (cw) laser sources (515 nm, 532 nm, 1064 nm wavelength). Complementary numerical simulations using the finite element method (FEM) were conducted to explain the impact of the laser parameters on the melting behavior (melt duration and geometry). It was found that the melt duration is a key parameter for a successful laser Doping process. Our simulations at a laser wavelengths of 515 nm reveal that low-repetition rate (<500 kHz) laser pulses of 300 ns duration generate a melt duration of ~0.35 µs, whereas upon scanning cw-laser radiation at 532 nm prolongates the melt duration by at least one order of magnitude. Experimentally, the widely used ns-laser pulses did not lead to satisfying laser irradiation results. In contrast, cw-laser radiation and scan velocities of less than 2 m/s led to suitable laser doping featuring low electrical resistances in the laser treated areas.
In-situ monitoring of water dependent DNA and protein radiation damage by near-ambient-pressure XPS
(2023)
X-ray photoelectron-spectroscopy (XPS) allows simultaneous irradiation and damage monitoring. Although water radiolysis is essential for radiation damage, all previous XPS studies were performed in vacuum. Here we present near-ambient-pressure XPS experiments to directly measure DNA damage under water atmosphere. They permit in-situ monitoring of the effects of radicals on fully hydrated double-stranded DNA. Our results allow us to distinguish direct damage, by photons and secondary low-energy electrons (LEE), from damage by hydroxyl radicals or hydration induced modifications of damage pathways. The exposure of dry DNA to x-rays leads to strand-breaks at the sugar-phosphate backbone, while deoxyribose and nucleobases are less affected. In contrast, a strong increase of DNA damage is observed in water, where OH-radicals are produced. In consequence, base damage and base release become predominant, even though the number of strand-breaks increases further.
Influence of impact angle and real target properties on drop test results of cubic containers
(2017)
Drop test scenarios with cubic containers without impact limiters at interim storage sites or in a final repository have been investigated by numerical simulations. An ideally flat drop is impossible to conduct as a free fall of a container even under laboratory conditions. Dynamic stresses and strains inside the container structure are sensitive to the impact angle. Even very small impact angles cause remarkable changes in the experimental or numerical results when a flat bottom or wall of a container hits a flat target. For drop tests with transport packages the International Atomic Energy Agency (IAEA) regulations define an essentially unyielding target. In contrast, potential accident scenarios for storage containers are derived from site-specific safety analyses or acceptance criteria in Germany. Each interim storage site or repository has a yielding or so-called real target with individual structural and material properties. The real target acts as a kind of impact limiter. A more conservative container design is required if the impact limiting effect of the target is not considered.
Influence of impact angle and real target properties on drop test results of cubic containers
(2017)
Drop test scenarios with cubic containers without impact limiters at interim storage sites or in a final repository have been investigated by numerical simulations. An ideally flat drop is impossible to conduct as a free fall of a container even under laboratory conditions. Dynamic stresses and strains inside the container structure are sensitive to the impact angle. Even very small impact angles cause remarkable changes in the experimental or numerical results when a flat bottom or wall of a container hits a flat target. For drop tests with transport packages the International Atomic Energy Agency (IAEA) regulations define an essentially unyielding target. In contrast, potential accident scenarios for storage containers are derived from site-specific safety analyses or acceptance criteria in Germany. Each interim storage site or repository has a yielding or so-called real target with individual structural and material properties. The real target acts as a kind of impact limiter. A more conservative container design is required if the impact limiting effect of the target is not considered.
In this contribution, we discuss the influence of scattered radiation on materials’ effective attenuation coefficients at higher X-ray energies. The selected X-ray spectra for the dual-energy experiments correspond to 3 MV and 7.5 MV acceleration potential of the used betatron. Experiments were performed on a test phantom containing step wedges of different low- and high-Z materials. We evaluated the ratio between low- and high-energy X-ray attenuation coefficients quantitatively based on simulated poly-energetic high-energy X-ray source spectra and the detector sensitivity using the “analytical Radiographic Testing inspection simulation tool” (aRTist) developed at BAM. Furthermore, the influence of scattered radiation is evaluated using an efficient Monte-Carlo simulation. The simulation results are compared quantitatively with experimental investigations. Finally, important applications of the proposed technique in the context of aviation security are discussed.
In this contribution, we discuss the influence of scattered radiation on materials’ effective attenuation coefficients at higher X-ray energies. The selected X-ray spectra for the dual-energy experiments correspond to 3 MV and 7.5 MV acceleration potential of the used betatron. Experiments were performed on a test phantom containing step wedges of different low- and high-Z materials. We evaluated the ratio between low- and high-energy X-ray attenuation coefficients quantitatively based on simulated poly-energetic high-energy X-ray source spectra and the detector sensitivity using the “analytical Radiographic Testing inspection simulation tool” (aRTist) developed at BAM. Furthermore, the influence of scattered radiation is evaluated using an efficient Monte-Carlo simulation. The simulation results are compared quantitatively with experimental investigations. Finally, important applications of the proposed technique in the context of aviation security are discussed.