Silicone Uniaxial Test Data 2020
The Silicone Uniaxial Test Data 2020 focuses on the uniaxial compression testing of industry grade silicones, providing comprehensive data on their properties.
Silicone Uniaxial Test Data 2020
Data Set Description
- Type: Simulation Data
- Number of Instances: 6,000+ entries
- Number of Variables: Multiple properties per material
- Attribute Characteristics: Quantitative
- Date Published: 2020
- Associated Tasks: Property prediction, material discovery
Source code and data are available for download under appropriate licensing.
Data Set Characteristics
| Characteristic | Details |
|---|---|
| Type | Simulation Data |
| Number of Instances | 6,000+ entries |
| Number of Variables | Multiple properties |
| Attribute Characteristics | Quantitative |
| Date Published | 2020 |
| Associated Tasks | Property prediction, material discovery |
| Missing Values | No |
Publications
Hattab, G., Ahlfeld, T., Klimova, A., Koepp, A., Schuerer, M., Speidel, S. (2020). Data from Uniaxial Compression testing and validation scripts for Cauchy stress modeling to design anatomical silicone replicas, Materials Cloud Archive 2020.0019/v2, doi.org/10.24435/materialscloud:2020.0019/v2
Hattab, G., Ahlfeld, T., Klimova, A., Koepp, A., Schuerer, M., & Speidel, S. (2020). Uniaxial compression testing and Cauchy stress modeling to design anatomical silicone replicas. Scientific Reports, 10(1), 11849. doi.org/10.1038/s41598-020-68886-3
Data Variables
- Mixture: Identifier for each silicone mixture (M1 to M5).
- Experiment: Identifier for each experiment or technical replicate of a mixture.
- Strain: Deformation measurement, in percentage (%).
- Stress: Force measurement, in kPa (kilopascals).
Licensing
Files and data related to this dataset are licensed under the Creative Commons Attribution 4.0 International license, allowing for sharing and adaptation with appropriate credit. The metadata, excluding email addresses, is licensed under the Creative Commons Attribution Share-Alike 4.0 International license, which permits sharing and adaptation as long as derivative works are distributed under the same license.