Ingenieurwissenschaften und zugeordnete Tätigkeiten
Filtern
Dokumenttyp
- Forschungsdatensatz (92) (entfernen)
Sprache
- Englisch (92) (entfernen)
Referierte Publikation
- nein (92)
Schlagworte
- SEM (20)
- XPS (20)
- HAXPES (19)
- Automation (17)
- Bonding analysis (14)
- NanoSolveIT (12)
- Computational Chemistry (10)
- Database (10)
- Materials Informatics (10)
- Nanoparticles (9)
- Mechanical testing (5)
- SAXS (5)
- X-ray scattering (5)
- Additive manufacturing (4)
- Shear modulus (4)
- Young's modulus (4)
- Aging (3)
- Aluminium alloy (3)
- BAM reference data (3)
- Creep (3)
- Elastic modulus (3)
- High-throughput computations (3)
- MOUSE (3)
- Nanomaterials (3)
- Ontology (3)
- Python (3)
- Scattering pattern analysis (3)
- Simulation (3)
- Titania nanoparticles (3)
- X-ray (3)
- Artificial neural networks (2)
- CeO2 (2)
- Ceria (2)
- Copper alloys (2)
- Data conversion (2)
- Dataset (2)
- Digitalization (2)
- Fe3O4 (2)
- Framework (2)
- HDF5 (2)
- Measurement data conversion (2)
- Microdosimetry (2)
- NXsas (2)
- Nano powder (2)
- Nanocomposite (2)
- NeXus (2)
- Neutron (2)
- Online NMR spectroscopy (2)
- Phonons (2)
- Process industry (2)
- Real-time process monitoring (2)
- SANS (2)
- Scanning electron microscopy (2)
- Small angle scattering (2)
- Stress relaxation (2)
- Tensile test (2)
- Two-photon polymerization (2)
- 3D Fourier Transform (1)
- 3D printing (1)
- 60-230V (1)
- AISI 316L (1)
- ANFO (1)
- Adsorption (1)
- Aktivkohle (1)
- Al2CuMg (1)
- AlOOH (1)
- Alkali activated concrete (1)
- Analyses (1)
- Analysis (1)
- Analysis approach (1)
- Anhydrite (1)
- Arbitrary shapes (1)
- Au Nanoparticles (1)
- AuNP (1)
- Automated image analysis (1)
- Automated synthesis (1)
- Boehmite (1)
- Brinell hardness (1)
- CLS (1)
- Calcium sulfate (1)
- Calibration structure (1)
- Cancer therapy (1)
- Ce0.1Zr0.9O2 nanoparticles (1)
- Ce0.5Zr0.5O2 nanoparticles (1)
- Ce0.75Zr0.25O2 nanoparticles (1)
- Ce0.9Zr0.1O2 (1)
- CeO2 nanoparticles (1)
- CeO2/Co3O4 (1)
- Cell (1)
- Ceramic microprinting (1)
- Channel access (1)
- Charpy test (1)
- Co0.75Fe2.25O4 nanoparticles (1)
- Co2.25Fe0.75O4 nanoparticles (1)
- Co3O4 nanoparticles (1)
- Command line (1)
- Command-line interface (1)
- Computational Materials Science (1)
- Concrete (1)
- Concrete modelling (1)
- Crack growth (1)
- Creep-fatigue (1)
- DFT (1)
- DLS (1)
- DNA-Binding protein (1)
- Data (1)
- Data Interoperability (1)
- Data analysis (1)
- Data fitting (1)
- Data format (1)
- Data management (1)
- Data processing (1)
- Datasets (1)
- Density functional theory (1)
- Digital representation (1)
- Dosimetry (1)
- Dwell-Fatigue (1)
- EBSD (1)
- EDS (1)
- EN AW 2618A a (1)
- EN AW-2618A (1)
- EPICS (1)
- Ectoine (1)
- Elastic microstructure (1)
- Electric Safety Interlock (1)
- Electron energy (1)
- Electron microscopy (1)
- Energy distribution (1)
- Environmental Stress Cracking (1)
- Ermüdung (1)
- Exchange interaction (1)
- Explosives (1)
- FAIR (1)
- FAIR data (1)
- FEM (1)
- FFT (1)
- Fenics (1)
- Ferromagnetism (1)
- Full-notch creep test (1)
- G5P (1)
- Geant4 (1)
- Gold (1)
- Graphene related 2D materials (1)
- Graphs (1)
- Hard-energy X-ray photoelectron spectroscopy (1)
- Hardness test (1)
- High Resolution (1)
- Human factor (1)
- Human influence (1)
- IN718 (1)
- Image segmentation (1)
- Images (1)
- Instrument control (1)
- Instrumentation (1)
- Kikuchi pattern (1)
- LLG (1)
- Laboratory automation (1)
- Landau Lifshitz equation (1)
- Laser writing (1)
- Localized model order reduction (1)
- Low-cycle fatigue. (1)
- MCS (1)
- Magnetic moment (1)
- Magnetic nanoparticles (1)
- Materials informatics (1)
- Measurement methodology (1)
- Mesocrystal (1)
- Metallic glasses (1)
- Methodology (1)
- Micromagnetism (1)
- Microprinting (1)
- Microstructural characterization (1)
- Microstructure analysis (1)
- Mitochondria (1)
- Monte carlo (1)
- Monte-Carlo simulation (1)
- Motor controller (1)
- Multi-photon light structuring (1)
- Multi-scale measurements (1)
- Multiscale methods (1)
- NMR spectroscopy (1)
- Nanoindentation (1)
- Nanoparticle (1)
- Neural networks (1)
- Neutron scattering (1)
- Nickel-base alloy (1)
- Nimonic 75 (1)
- Nucleus (1)
- OOMMF (1)
- Object oriented micromagnetic framework (1)
- Open Data (1)
- Open science (1)
- PDF (1)
- PE-HD (1)
- PMD Core Ontology (1)
- Particle scattering (1)
- Particle size (1)
- Particle size distribution (1)
- Plattform MaterialDigital (1)
- Polydispersity (1)
- Polyethylene (1)
- Polymer nanocomposite (1)
- Porosity (1)
- Powder X-ray diffraction (1)
- Proper orthogonal (1)
- Radiation protection (1)
- Radiation therapy (1)
- Radii distribution (1)
- Reference data (1)
- Reference material BCR-425 (1)
- Reference structure (1)
- Refractory high entropy alloys (1)
- Reproducibility, scientific workflow (1)
- Research data management (1)
- Round robin (1)
- S-phase (1)
- S355 steel sheet (1)
- SAXS/WAXS (1)
- STL file input (1)
- Saxs (1)
- Scattering (1)
- Scattering pattern (1)
- Scattering pattern simulation (1)
- Scientific software (1)
- Screening method (1)
- Semantic Web technologies (1)
- Sequential learning (1)
- Silver (1)
- Small-angle scattering (1)
- Software (1)
- Stochastic Landau Lifshitz Gilbert equation (1)
- Strength (1)
- Structure prediction (1)
- Structured Data (1)
- Surface area (1)
- Systems architecture (1)
- TED-GC/MS (1)
- TEM (1)
- TOPAS (1)
- TOPAS-nBio (1)
- Targeted nanoparticle (1)
- Temperature (1)
- Temperature scaling (1)
- Tempered martensite-ferritic steel (1)
- Tensile Test (1)
- Tensile testing (1)
- Test structure (1)
- Thermal conductivity (1)
- Thermoanalytik (1)
- Thetaevolve (1)
- Ti-6Al-4V (1)
- TiO2 D540 nanoparticles (1)
- TiO2 PVP (1)
- TiO2 nanoparticles (1)
- Tool comparison (1)
- Traceability derivation (1)
- Transmission electron microscopy (1)
- Transparency (1)
- VSSA (1)
- Variational multiscale method (1)
- Volume specific surface area (1)
- Waxs (1)
- WelDX (1)
- Welding (1)
- Wet dispersion (1)
- Workflow management (1)
- Workflows (1)
- X-ray photoelectron spectroscopy (1)
- XCT (1)
- XRD (1)
- Yttria-stabilized zirconia (1)
- ZnO (1)
- ZnO nanoparticles (1)
- ZrO2 nanoparticles (1)
- stl code (1)
- total scattering (1)
Organisationseinheit der BAM
- 6 Materialchemie (62)
- 6.1 Oberflächen- und Dünnschichtanalyse (24)
- 5 Werkstofftechnik (20)
- 6.0 Abteilungsleitung und andere (18)
- 6.5 Synthese und Streuverfahren nanostrukturierter Materialien (17)
- 5.2 Metallische Hochtemperaturwerkstoffe (15)
- VP Vizepräsident (11)
- VP.1 eScience (11)
- 6.6 Physik und chemische Analytik der Polymere (7)
- 7 Bauwerkssicherheit (5)
In the field of computational science and engineering, workflows often entail the application of various software, for instance, for simulation or pre- and postprocessing. Typically, these components have to be combined in arbitrarily complex workflows to address a specific research question. In order for peer researchers to understand, reproduce and (re)use the findings of a scientific publication, several challenges have to be addressed. For instance, the employed workflow has to be automated and information on all used software must be available for a reproduction of the results. Moreover, the results must be traceable and the workflow documented and readable to allow for external verification and greater trust. In this paper, existing workflow management systems (WfMSs) are discussed regarding their suitability for describing, reproducing and reusing scientific workflows. To this end, a set of general requirements for WfMSswere deduced from user stories that we deem relevant in the domain of computational science and engineering. On the basis of an exemplary workflow implementation, publicly hosted at GitHub (https:// this http URL), a selection of different WfMSs is compared with respect to these requirements, to support fellow scientists in identifying the WfMSs that best suit their requirements.
Multiscale modeling of linear elastic heterogeneous structures via localized model order reduction
(2024)
In this paper, a methodology for fine scale modeling of large scale linear elastic structures is proposed, which combines the variational multiscale method, domain decomposition and model order reduction. The influence of the fine scale on the coarse scale is modelled by the use of an additive split of the displacement field, addressing applications without a clear scale separation. Local reduced spaces are constructed bysolving an oversampling problem with random boundary conditions. Herein, we inform the boundary conditions by a global reduced problem and compare our approach using physically meaningful correlated samples with existing approaches using uncorrelated samples. The local spaces are designed such that the local contribution of each subdomain can be coupled in a conforming way, which also preserves the sparsity pattern of standard finite element assembly procedures. Several numerical experiments show the accuracy and efficiency of the method, as well as its potential to reduce the size of the local spaces and the number of training samples compared to the uncorrelated sampling
This is a set of use examples for the HDF5Translator framework. This framework lets you translate measurement files into a different (e.g. NeXus-compatible) structure, with some optional checks and conversions on the way. For an in-depth look at what it does, there is a blog post here.
The use examples provided herein are each accompanied by the measurement data necessary to test and replicate the conversion. The README.md files in each example show the steps necessary to do the conversion for each.
We encourage those who have used or adapted one or more of these exampes to create their own conversion, to get in touch with us so we may add your example to the set.
KupferDigital mechanical testing datasets: Stress relaxation and low-cycle fatigue (LCF) tests
(2024)
The KupferDigital project deals with the development of a data ecosystem for digital materials research on the basis of ontology-based digital representations of copper and copper alloys. This document provides exemplary mechanical testing datasets for training the developed KupferDigital infrastructures. Different types of cast copper alloys were provided for this research and their mechanical testing (stress relaxation and low-cycle fatigue) was performed in the accredited materials testing laboratory, while the test results were reported according to the DIN/ISO standards and attached with the maximum possible metadata about the sample history, equipment, and calibration. The attached content file consisted of the obtained primary raw testing data as well as the secondary datasets of these tests containing the detailed metadata of mechanical testing methods. Such test data files are processed by the KupferDigital digital tools to be converted to standardized machine-readable data files.
Despite the advances in hardware and software techniques, standard numerical methods fail in providing real-time simulations, especially for complex processes such as additive manufacturing applications. A real-time simulation enables process control through the combination of process monitoring and automated feedback, which increases the flexibil- ity and quality of a process. Typically, before producing a whole additive manufacturing structure, a simplified experiment in form of a bead-on- plate experiment is performed to get a first insight into the process and to set parameters suitably. In this work, a reduced order model for the transient thermal problem of the bead-on-plate weld simulation is devel- oped, allowing an efficient model calibration and control of the process. The proposed approach applies the proper generalized decomposition (PGD) method, a popular model order reduction technique, to decrease the computational effort of each model evaluation required multiple times in parameter estimation, control and optimization. The welding torch is modeled by a moving heat source, which leads to difficulties separating space and time, a key ingredient in PGD simulations. A novel approach for separating space and time is applied and extended to 3D problems allowing the derivation of an efficient separated representation of the tem- perature. The results are verified against a standard finite element model showing excellent agreement. The reduced order model is also leveraged in a Bayesian model parameter estimation setup, speeding up calibrations and ultimately leading to an optimized real-time simulation approach for welding experiment using synthetic as well as real measurement data.
Trinamic TMCL IOC is a Python package designed for controlling stepper motors connected to a Trinamic board using the TMCL language (all boards supported by PyTrinamic should now work, has been tested on the TMCM 6110 and the TMCM 6214). Since it is implementing the TMCL protocol, it should be easy to adapt to other Trinamic motor controller boards. This package assumes the motor controller is connected over a machine network via a network-to-serial converter, but the underlying PyTrinamic package allows for other connections too.
This allows the control of attached motors via the EPICS Channel-Access virtual communications bus. If EPICS is not desired, plain Pythonic control via motion_control should also be possible. An example for this will be provided in the example.ipynb Jupyter notebook.
This package leverages Caproto for EPICS IOCs and a modified PyTrinamic library for the motor board control, and interfaces between the two via an internal set of dataclasses. Configuration for the motors and boards are loaded from YAML files (see tests/testdata/example_config.yaml).
The modifications to PyTrinamic involved extending their library with a socket interface. This was a minor modification that should eventually find its way into the official package (a pull request has been submitted).
PMD Core Ontology (PMDco)
(2023)
The PMD Core Ontology (PMDco) is a comprehensive framework for representing knowledge that encompasses fundamental concepts from the domains of materials science and engineering (MSE). The PMDco has been designed as a mid-level ontology to establish a connection between specific MSE application ontologies and the domain neutral concepts found in established top-level ontologies. The primary goal of the PMDco is to promote interoperability between diverse domains. PMDco's class structure is both understandable and extensible, making it an efficient tool for organizing MSE knowledge. It serves as a semantic intermediate layer that unifies MSE knowledge representations, enabling data and metadata to be systematically integrated on key terms within the MSE domain. With PMDco, it is possible to seamlessly trace data generation. The design of PMDco is based on the W3C Provenance Ontology (PROV-O), which provides a standard framework for capturing the generation, derivation, and attribution of resources. By building on this foundation, PMDco facilitates the integration of data from various sources and the creation of complex workflows. In summary, PMDco is a valuable tool for researchers and practitioners in the MSE domains. It provides a common language for representing and sharing knowledge, allowing for efficient collaboration and promoting interoperability between diverse domains. Its design allows for the systematic integration of data and metadata, enabling seamless traceability of data generation. Overall, PMDco is a crucial step towards a unified and comprehensive understanding of the MSE domain. PMDco at GitHub: https://github.com/materialdigital/core-ontology
Jobflow is a free, open-source library for writing and executing workflows. Complex workflows can be defined using simple python functions and executed locally or on arbitrary computing resources using the FireWorks workflow manager.
Some features that distinguish jobflow are dynamic workflows, easy compositing and connecting of workflows, and the ability to store workflow outputs across multiple databases.