| Laser Powder Bed Fusion Ontology (LPBFO) |
| ======================================================================================================================== |
|
|
| Overview |
| -------- |
| The LPBF Ontology can be used to describe the additive manufacturing of a component via |
| Laser Powder Bed Fusion (LPBF) / Selective Laser Melting (SLM). The ontology builds on BFO2.0 |
| and BWMD_mid and has been developed to be used in conjunction with the digital workflows provided |
| by Fraunhofer IWM. If possible, the terminology within this ontology was used as provided by ISO/ASTM 52900:2015. |
| Recently, classes relevant for Life Cycle Analysis (LCA) were added that enable sustainability assessment. |
|
|
| :Domain: Materials Science and Engineering |
| :Category: Materials Science |
| :Current Version: 1.1.9 |
| :Last Updated: 2022-09-20 |
| :Creator: Fraunhofer IWM |
| :License: Creative Commons 4.0 |
| :Format: OWL |
| :Download: `Laser Powder Bed Fusion Ontology (LPBFO) Homepage <https://matportal.org/ontologies/LPBFO>`_ |
|
|
| Graph Metrics |
| ------------- |
| - **Total Nodes**: 1835 |
| - **Total Edges**: 3548 |
| - **Root Nodes**: 129 |
| - **Leaf Nodes**: 1056 |
|
|
| Knowledge coverage |
| ------------------ |
| - Classes: 508 |
| - Individuals: 0 |
| - Properties: 38 |
|
|
| Hierarchical metrics |
| -------------------- |
| - **Maximum Depth**: 90 |
| - **Minimum Depth**: 0 |
| - **Average Depth**: 13.97 |
| - **Depth Variance**: 590.11 |
|
|
| Breadth metrics |
| ------------------ |
| - **Maximum Breadth**: 276 |
| - **Minimum Breadth**: 1 |
| - **Average Breadth**: 10.16 |
| - **Breadth Variance**: 1618.27 |
|
|
| Dataset Statistics |
| ------------------ |
| Generated Benchmarks: |
| - **Term Types**: 0 |
| - **Taxonomic Relations**: 507 |
| - **Non-taxonomic Relations**: 22 |
| - **Average Terms per Type**: 0.00 |
|
|
| Usage Example |
| ------------- |
| .. code-block:: python |
|
|
| from ontolearner.ontology import LPBFO |
|
|
| # Initialize and load ontology |
| ontology = LPBFO() |
| ontology.load("path/to/ontology.OWL") |
|
|
| # Extract datasets |
| data = ontology.extract() |
|
|
| # Access specific relations |
| term_types = data.term_typings |
| taxonomic_relations = data.type_taxonomies |
| non_taxonomic_relations = data.type_non_taxonomic_relations |
|
|
