The mechanical properties obtained with a variety of testing methods (e.g. tensile and fatigue testing, (cyclic) indentation, etc.), microstructural features (e.g. grain size, phase contents, etc.) and physical properties (e.g. electrical conductivity, magnetic permeability, etc.) provide huge opportunities for exploring correlations. Interactive visual data exploration and topological data analysis are promising to find and evaluate correlations within materials datasets. The major challenges for data analysis are the lack of standardization on the data input, the lack of helpful guidelines for applying existing data analysis/visualization packages, and the complex nature of the data that is commonly not directly supported by these libraries. To address these challenges, the following support is required: (i) Standard data formats have to be defined and described by an ontology and the transformation from arbitrary data to this format has to be elaborated. (ii) Correlation analysis techniques need to be revisited and systematized along. (iii) Best practices need to be defined and tested as well as augmented with novel analysis techniques.
| Main requirements: - Uniform (Meta)data formats to enable utilization of heterogeneous data obtained from different test devices - Metadata scheme to ensure comparable information for different test methods - Standardized units to facilitate data transformation - Electronic lab book for uniform data documentation and management - Integration of measurement devices to simplify utilization of different test devices - Visualization tools for interactive correlation analysis |
| Main Task Area: TA-WSD Other related Task Areas: TA-OMS |
| Possible connections within NFDI: NFDI4Ing, NFDI4Chem, and DataPlant |
| Material/Data: Metallic alloys / microstructural features and mechanical as well as physical properties |
| Main Success Scenario: Users can identify and validate correlations for highly complex, sparse materials datasets and can predict materials properties based on microstructural features. |
| Added value for the MatWerk community: Development of interactive data and topology analysis tools based on a materials knowledge management system. This will be used to support and validate the materials ontology developed within the NFDI4-MatWerk. |
NFDI-MatWerk
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524.
NFDI-MatWerk
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524.
Subscribe to our newsletter for regular updates about materials science topics!
After subscribing, you will receive an email from us with a confirmation
link.
Only after clicking this link your registration is completed.
