Forschungsdatensätze der BAM
Filtern
Erscheinungsjahr
Dokumenttyp
- Forschungsdatensatz (138)
Referierte Publikation
- nein (138)
Schlagworte
- SEM (23)
- XPS (23)
- HAXPES (22)
- Automation (17)
- NanoSolveIT (15)
- SAXS (15)
- X-ray scattering (15)
- Bonding analysis (14)
- Computational Chemistry (10)
- Database (10)
- MOUSE (10)
- Materials Informatics (10)
- Nanoparticles (9)
- Software (7)
- Mechanical testing (5)
- Additive manufacturing (4)
- Ontology (4)
- R package (4)
- Sample holder (4)
- Shear modulus (4)
- Ultrasound (4)
- Young's modulus (4)
- Aging (3)
- Aluminium alloy (3)
- Artificial neural networks (3)
- BAM reference data (3)
- Concrete (3)
- Creep (3)
- Data processing (3)
- Elastic modulus (3)
- High-throughput computations (3)
- Mass Spectrometry (3)
- Microdosimetry (3)
- Nanomaterials (3)
- Nondestructive testing (3)
- Python (3)
- Reference data (3)
- SANS (3)
- Scattering pattern analysis (3)
- Simulation (3)
- Titania nanoparticles (3)
- Validation (3)
- X-ray (3)
- Copper alloys (2)
- Data analysis (2)
- Data conversion (2)
- Dataset (2)
- Digitalization (2)
- Dosimetry (2)
- Elastic wave (2)
- Fe3O4 (2)
- Fenics (2)
- Framework (2)
- G5P (2)
- Geant4 (2)
- HDF5 (2)
- Interlaboratory comparison (2)
- MCS (2)
- Measurement data conversion (2)
- Monte-Carlo simulation (2)
- NXsas (2)
- Nanocomposite (2)
- NeXus (2)
- Neutron (2)
- Non-destructive testing (2)
- Online NMR spectroscopy (2)
- Particle scattering (2)
- Phonons (2)
- Process industry (2)
- Pulse echo method (2)
- Real-time process monitoring (2)
- Reference material (2)
- Scanning electron microscopy (2)
- Small angle scattering (2)
- Stress relaxation (2)
- Surface area (2)
- Synthetic Aperture Focusing Technique (2)
- TOPAS (2)
- TOPAS-nBio (2)
- Tensile test (2)
- Two-photon polymerization (2)
- XRD (2)
- 3D Fourier Transform (1)
- 3D printing (1)
- 60-230V (1)
- 7790634 (1)
- AIF (1)
- AISI 316L (1)
- ANFO (1)
- Acoustic-flow interaction (1)
- Additive Manufacturing (1)
- Adsorption (1)
- Air-coupled ultrasound (1)
- Aktivkohle (1)
- Al2CuMg (1)
- AlOOH (1)
- Alkali activated concrete (1)
- Alkyls (1)
- Analyses (1)
- Analysis (1)
- Analysis approach (1)
- Anhydrite (1)
- Antiaromaticity (1)
- Antibody (1)
- Arbitrary shapes (1)
- Argon (1)
- Aromatic hydrocarbons (1)
- Au Nanoparticles (1)
- AuNP (1)
- Automated image analysis (1)
- Automated synthesis (1)
- Benchmarking (1)
- Biofilms (1)
- Boehmite (1)
- Brinell hardness (1)
- Building Floors (1)
- CONSENS (1)
- Calcium sulfate (1)
- Calibration structure (1)
- Cancer therapy (1)
- Ce0.1Zr0.9O2 nanoparticles (1)
- Ce0.25Zr0.75O2 nanoparticles (1)
- Ce0.5Zr0.5O2 nanoparticles (1)
- Ce0.75Zr0.25O2 nanoparticles (1)
- Ce0.9Zr0.1O2 (1)
- CeO2 (1)
- CeO2 nanoparticles (1)
- CeO2/Co3O4 (1)
- Cell (1)
- Cement (1)
- Ceramic microprinting (1)
- Ceria (1)
- Certified reference material (1)
- Channel access (1)
- Charpy test (1)
- Co0.75Fe2.25O4 nanoparticles (1)
- Co1.5Fe1.5O4 nanoparticles (1)
- Co2.25Fe0.75O4 nanoparticles (1)
- Co3O4 nanoparticles (1)
- Coffee (1)
- Columnar ionic liquid crystals (1)
- Command line (1)
- Command-line interface (1)
- Compressive Concrete Strength (1)
- Compressive concrete strength (1)
- Computational Materials Science (1)
- Concrete modelling (1)
- Continuous Manufacturing (1)
- Conventional method (1)
- Covalent Organic Frameworks (1)
- Crack growth (1)
- Creep-fatigue (1)
- DFT (1)
- DNA-Binding protein (1)
- Data (1)
- Data Interoperability (1)
- Data Management (1)
- Data Structures (1)
- Data fitting (1)
- Data format (1)
- Data management (1)
- Data set (1)
- Dataset merging (1)
- Datasets (1)
- Density functional theory (1)
- Digital representation (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)
- Electrochemical Degradation (1)
- Electron energy (1)
- Electron microscopy (1)
- Elemental composition (1)
- Energy distribution (1)
- Energy-dispersive X-ray fluorescence spectrometers (1)
- Environmental Stress Cracking (1)
- Ermüdung (1)
- Espressokanne (1)
- Exchange interaction (1)
- Experimental data (1)
- Explosives (1)
- FAIR (1)
- FAIR data (1)
- FEM (1)
- FFT (1)
- FNCT (1)
- Fe2O3 nanoparticles (1)
- Feedstock powder (1)
- Ferromagnetism (1)
- Flow-through (1)
- Fluidics (1)
- Flux Analysis (1)
- Full-Notch Creep Test (1)
- Full-notch creep test (1)
- Fungus (1)
- GPR (1)
- GV5 (1)
- Geant4-DNA (1)
- Geological material (1)
- Gold (1)
- Graphene related 2D materials (1)
- Graphs (1)
- Hard-energy X-ray photoelectron spectroscopy (1)
- Hardness test (1)
- Heated (1)
- High Resolution (1)
- Human factor (1)
- Human influence (1)
- ICP-MS (1)
- IN718 (1)
- Image averaging (1)
- Image segmentation (1)
- Images (1)
- Imaging techniques (1)
- Impact-Echo (1)
- Impact-echo (1)
- Indium Tin Oxide (1)
- Instrument control (1)
- Instrumentation (1)
- Kikuchi pattern (1)
- Knowledge Representation (1)
- LLG (1)
- Laboratory (1)
- Laboratory automation (1)
- Landau Lifshitz equation (1)
- Laser writing (1)
- Liquid crystals (1)
- Localized model order reduction (1)
- Low-cycle fatigue. (1)
- MALDI (1)
- Magnetic moment (1)
- Magnetic nanoparticles (1)
- Magnetron Sputtering (1)
- Mass Isotopomer Distribution (1)
- Mass spectrometry (1)
- Material Moisture (1)
- Materials informatics (1)
- Measurement methodology (1)
- Measurement uncertainty (1)
- Membrane polymers (1)
- Mesocrystal (1)
- Metabolomics (1)
- Metallic glasses (1)
- Methodology (1)
- Micorscopic dose-damage relation (1)
- Micromagnetism (1)
- Microporous polymers (1)
- Microprinting (1)
- Microstructural characterization (1)
- Microstructure analysis (1)
- Mitochondria (1)
- Moka Pot (1)
- Monte carlo (1)
- Monte-Carlo simulations (1)
- Motor controller (1)
- Multi-photon light structuring (1)
- Multi-scale measurements (1)
- Multiscale methods (1)
- Multivariate Data Analysis (1)
- NMR spectroscopy (1)
- Nano powder (1)
- Nanoindentation (1)
- Nanoparticle (1)
- Near Infrared Spectroscopy (1)
- Neural networks (1)
- Neutron scattering (1)
- Nickel-base alloy (1)
- Nimonic 75 (1)
- Nitrogen (1)
- Nuclear Magnetic Resonance (1)
- Nucleus (1)
- OOMMF (1)
- Object oriented micromagnetic framework (1)
- Olive oil (1)
- Olivine (1)
- On-Site (1)
- Open Data (1)
- Open data (1)
- Open science (1)
- Optical constants (1)
- PDF (1)
- PE-HD (1)
- PMD Core Ontology (1)
- Particle size distribution (1)
- Photon counting detectors (1)
- Physisorption (1)
- Piezoelectric transducer (1)
- Plattform MaterialDigital (1)
- Polydispersity (1)
- Polyethylene (1)
- Polymer nanocomposite (1)
- Polymers (1)
- Porosity (1)
- Powder Characterization (1)
- Powder X-ray diffraction (1)
- Process Analytical Technology (1)
- Proper Generalized Decomposition (1)
- Proper orthogonal (1)
- Protein (1)
- Proteins (1)
- Pulse-echo technique (1)
- Quantitative estimation (1)
- Radiation protection (1)
- Radiation therapy (1)
- Radii distribution (1)
- Radiography (1)
- Rebound Hammer (1)
- Rebound number (1)
- Reconstruction algorithm (1)
- Reduced Order Model (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)
- Round robin (1)
- S-phase (1)
- S1-ZGV mode (1)
- S355 steel sheet (1)
- SAXS/WAXS (1)
- STL file input (1)
- Sample cell (1)
- Saxs (1)
- Scattering (1)
- Scattering pattern (1)
- Scattering pattern simulation (1)
- Scientific software (1)
- Screening method (1)
- Semantic Web Technologies (1)
- Semantic Web technologies (1)
- Sequential learning (1)
- Shiny-App (1)
- Silver (1)
- Small-angle Scattering (1)
- Small-angle scattering (1)
- Spectra annotation (1)
- Spectral response (1)
- Spectroscopic Ellipsometry (1)
- Spectroscopic techniques (1)
- Stochastic Landau Lifshitz Gilbert equation (1)
- Strength (1)
- Strontium isotope ratio (1)
- Structure prediction (1)
- Structured Data (1)
- Systems architecture (1)
- TED-GC/MS (1)
- TEM (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)
- USAXS (1)
- Ultrasonic Pulse Velocity (1)
- Ultrasonic guided waves (1)
- Ultrasonic pulse velocity (1)
- VSSA (1)
- Vacuum compatible (1)
- Value assignment (1)
- Variational multiscale method (1)
- Volume specific surface area (1)
- WAXS (1)
- Waxs (1)
- Weathering (1)
- WelDX (1)
- Welding (1)
- Workflow management (1)
- X-Ray (1)
- X-Ray Computed Tomography (1)
- X-ray diffraction (1)
- X-ray photoelectron spectroscopy (1)
- X-ray reflectivity (1)
- X-ray science (1)
- XCT (1)
- Yttria-stabilized zirconia (1)
- Zenodo (1)
- ZnO (1)
- ZnO nanoparticles (1)
- ZrO2 nanoparticles (1)
- extension (1)
- module (1)
- stl code (1)
- technical drawings (1)
- total scattering (1)
- ultra-small-angle X-ray scattering (1)
Organisationseinheit der BAM
- 6 Materialchemie (80)
- 6.1 Oberflächen- und Dünnschichtanalyse (29)
- 6.5 Synthese und Streuverfahren nanostrukturierter Materialien (28)
- 5 Werkstofftechnik (21)
- 6.0 Abteilungsleitung und andere (18)
- 8 Zerstörungsfreie Prüfung (18)
- 5.2 Metallische Hochtemperaturwerkstoffe (16)
- VP Vizepräsident (12)
- VP.1 eScience (12)
- 1 Analytische Chemie; Referenzmaterialien (11)
This is the stable version of the full-notch creep test ontology (OntoFNCT) that ontologically represents the full-notch creep test. OntoFNCT has been developed in accordance with the corresponding test standard ISO 16770:2019-09 Plastics - Determination of environmental stress cracking (ESC) of polyethylene - Full-notch creep test (FNCT).
The OntoFNCT provides conceptualizations that are supposed to be valid for the description of full-notch creep tests and associated data in accordance with the corresponding test standard. By using OntoFNCT for storing full-notch creep test data, all data will be well structured and based on a common vocabulary agreed on by an expert group (generation of FAIR data) which is meant to lead to enhanced data interoperability. This comprises several data categories such as primary data, secondary data and metadata. Data will be human and machine readable. The usage of OntoFNCT facilitates data retrieval and downstream usage. Due to a close connection to the mid-level PMD core ontology (PMDco), the interoperability of full-notch creep test data is enhanced and querying in combination with other aspects and data within the broad field of materials science and engineering (MSE) is facilitated.
The class structure of OntoFNCT forms a comprehensible and semantic layer for unified storage of data generated in a full-notch creep test including the possibility to record data from analysis and re-evaluation. Furthermore, extensive metadata allows to assess data quality and reliability. Following the open world assumption, object properties are deliberately low restrictive and sparse.
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.
Optical constants of In2O3-SnO2 (Indium tin oxide, ITO)
Minenkov et al. 2024: on glass; n,k 0.191–1.69 µm
Optical constants of In2O3-SnO2 (Indium tin oxide, ITO)
Minenkov et al. 2024: on Si wafer, top; n,k 0.191–1.69 µm
Optical constants of In2O3-SnO2 (Indium tin oxide, ITO)
Minenkov et al. 2024: on Si wafer, bottom; n,k 0.191–1.69 µm
Software-driven scientific workflows are often characterized by a complex interplay of various pieces of software executed in a particular order. The output of a computational step may serve as input to a subsequent computation, which requires them to be processed sequentially with a proper mapping of outputs to inputs. Other computations are independent of each other and can be executed in parallel. Thus, one of the main tasks of a workflow tool is a proper and efficient scheduling of the individual processing steps.
Each processing step, just as the workflow itself, typically processes some input and produces output data. Apart from changing the input data to operate on, processing steps can usually be configured by a set of parameters to change their behavior. Moreover, the behavior of a processing step is determined by its source code and/or executable binaries/packages that are called within it. Beyond this, the computation environment not only has a significant influence on its behavior, but is also crucial in order for the processing step to work at all. The environment includes the versions of the interpreters or compilers, as well as all third-party libraries and packages that contribute to the computations carried out in a processing step.
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).
Related work
Laboratory Study:
Combining Signal Features of Ground-Penetrating Radar to Classify Moisture Damage in Layered Building Floors
https://doi.org/10.3390/app11198820
On-Site Study:
TBA
Doctoral Thesis:
Non-destructive classification of moisture deterioration in layered building floors using ground penetrating radar
https://doi.org/10.14279/depositonce-19306
Measurement Parameters
The GPR measurements were carried out with the SIR 20 from GSSI and a 2 GHz antenna pair (bandwidth 1 GHz to 3 GHz) in common-offset configuration. Each B-Scan consists of N A-Scans, each including 512 samples of a 11 ns time window. Survey lines were recorded with 250 A-Scans/ meter, which equals a 4 mm spacing between each A-Scan No Gains were applied.
Folder Description:
Lab_dry, Lab_insulDamage, Lab_screedDamage
- each contain 168 Measurements (B-Scans) in .csv on 84 dry floors, floors with insulation damage and screed damage.
- each floor setup was measured twice on two orthogonal survey lines, indicated by _Line1_ and _Line2_ in the file name.
- the file names encode the building floor setup e.g. CT50XP100 describes a 50 mm cement screed with 100 mm extruded polystyrene below
- the material codes are
CT: cement screed, CA: anhydrite screed, EP: expanded polystyrene, XP: extruded polystyrene, GW: glass wool, PS: perlites
further information can be found in the publication https://doi.org/10.3390/app11198820
OnSite_
- 5 folders containing B-Scans on 5 different practical moisture damages
- the building floor setup is encoded according to the lab with an additional measurement point numbering at the start and a damage case annotation at the end of the file name with _dry, _insulationDamage and_screedDamage
File Description:
B-Scans, Measurement files - no header
- dimension: 512 x N data point with N beeing the number of A-Scans including 512 samples of a 11 ns time window.
- survey lines were recorded with 250 A-Scans/ meter, which equals a 4 mm spacing between each A-Scan
Moisture References
- Moist_Reference of On-Site Locations include the columns MeasPoint: Measurement point, wt%Screed: moisture content of screed layer in mass percent; wt%Insul: moisture content of insulation layer in mass percent. References were obtained by drilling cores with 68 mm diameter in the center of each survey line.
- Moist_Reference_Screed of Lab data include the columns Screed: Screed material and thickness in mm, wt%Screed moisture content of screed layer in mass percent
- Moist Reference_Insul of Lab data include the columns Insulation: Insulation material and thickness in mm, water addition in l: water added to the insulation layer in liters, V%Insulation: water added to the insulation layer in volume percent, RH%: resulting relative humidy in the insulation layer during measurement. These References are only avaible for Lab measurements on insulation damages.
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
PGDrome
(2023)
FenicsXConcrete
(2023)
These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.
The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.
It is recommended to use the following requirements for the molecular cross-sectional area:
Nitrogen: 0.1620 nm²
Argon: 0.1420 nm²
Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.
The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.
These data are stored in the universal AIF format (adsorption information file), which allows flexible use of the data.
The dataset provided in this repository comprises data obtained from a series of full-notch creep tests (FNCT) performed on selected high-density polyethylene (PE-HD) materials (for further details, see section 1 Materials in this document) in accordance with the corresponding standard ISO 16770.
The FNCT is one of the mechanical testing procedures used to characterize polymer materials with respect to their environmental stress cracking (ESC) behavior. It is widely applied for PE-HD materials, that are predominantly used for pipe and container applications. It is based on the determination of the time to failure for a test specimen under constant mechanical load in a well-defined and temperature controlled liquid environment. The test device used here also allows for continuous monitoring of applied force, specimen elongation and temperature.
Data file (RData) containing measurement data recorded during the production process of the Certified Reference Material BAM-A001 containing Polycyclic Aromatic Hydrocarbons (PAH) in olive oil. The data can be most conveniently openend using the Shiny-App eCerto which is accessible at https://www.bam.de/eCerto.
Mechanical testing ontology
(2023)
The materials mechanical testing ontology (MTO) was developed by collecting the mechanical testing vocabulary from ISO 23718 standard, as well as the standardized testing processes described for various mechanical testing of materials like tensile testing, Brinell hardness test, Vickers hardness test, stress relaxation test, and fatigue testing. Confirming the ISO/IEC 21838-2 standard, MTO utilizes the Basic Formal Ontology (BFO), Common Core Ontology (CCO), Industrial Ontologies Foundry (IOF), Quantities, Units, Dimensions, and data Types ontologies (QUDT), and Material Science and Engineering Ontology (MSEO) as the upper-level ontologies.