Data · dataset · 2026
Research Data for "Topological Influence on the Tensile Performance of Multi-Material SLA 3D Printed Cellular Structures"
Listed in TU Wien Research Data
Context and methodology This dataset was developed within the field of Additive Manufacturing (AM), specifically focusing on Multi-Material Stereo Lithography (MMSL).
Description
It investigates the mechanical behavior of heterogeneous cellular structures fabricated using a modified MMSL platform. The dataset provides the experimental base for how different topologies and material distributions influence mechanical properties.
The dataset was created through the following workflow: Design: 60 unique combinations where considered in the design space, 20 of them have been selected for the following training steps, 4 for the validation. The selection methodology is part of this dataset. Fabrication: Specimens were printed on the MMSL machine with two distinct photopolymers.
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Testing: Tensile tests were performed on an Zwick Z050, the unfiltered results are available in this dataset. Prediction: Results of tensile tests were used to build models and predict the results of all 60 unique combinations. Validation: Predictions were compared agains the later tested validation set.
Technical details The dataset is split into 4 sections: Boundary Represented Geometries (B-rep), Voxel Represented Geometries (V-rep), Results and R-Processing The B-rep geometries can be opened with any compatible software, as unit for the .STL files mm was utilized. The V-rep files can be opened layer per layer with any image viewer. Results are available for Microsoft Excel.
The processing files are written in R and can be inspected by any text-editor or executed with R-Studio. Using the R-
Project
Open the project in RStudio To modify the filter method or other basic properties, edit R_Setup.R Run Filter_Overview.qmd to apply the filtering logic and evaluate its effect Run Data_Overview.qmd to get an overview of the data after filtering Run any of the Analysis_Pipelines to run the respective machine learning method If R-Studio is unavailable, existing results can be reviewed by opening the .html files with any browser Further details If you use the dataset, please cite the original paper!
Changelog Version 1: Initial Upload of the Dataset Version 2: Added nanoindendation results (Nanoindendation.xlsx) Added additional tenisile test results (Tensile_Tests_5.xlsx) Removed predictions and models, as they are dependent on the setup of the R-project (Model_Results_Detailed.xlsx, All_Predictions_Detailed.xlsx) Rewritten the complete R-Processing: Includs different filtering methods and statistical model methods now, split overall several files Updated this description with information how the R-Project can be used and added the changelog
Links
Where it is published
- TU Wien Research Data record researchdata.tuwien.ac.at/records/1x07g-g9j17 ↗
landing page · from researchdata tuwien ac at
- DOI doi.org/10.48436/1x07g-g9j17 ↗
DOI / persistent id · from researchdata tuwien ac at
Catalogue records · 1
- InvenioRDM API researchdata.tuwien.ac.at/api/records/1x07g-g9j17 ↗
metadata API · from researchdata tuwien ac at
Topics
- Stated by source
- Cellular Solids · multi-material 3D printing · Predictive Modeling · Stereolithography · vat photopolymerization · Voxel-based Design
- From keywords
- Life Sciences
- Inferred from text
- Image 75%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| TU Wien Research Data | 1x07g-g9j17 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tuwien ac at | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[topic].invenio_subject:researchdata_tuwien_ac_at:cellular-solids | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| concepts[topic].invenio_subject:researchdata_tuwien_ac_at:multi-material-3d-printing | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| concepts[topic].invenio_subject:researchdata_tuwien_ac_at:predictive-modeling | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| concepts[topic].invenio_subject:researchdata_tuwien_ac_at:stereolithography | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| concepts[topic].invenio_subject:researchdata_tuwien_ac_at:vat-photopolymerization | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| concepts[topic].invenio_subject:researchdata_tuwien_ac_at:voxel-based-design | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| description | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | /metadata/description |
| license | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| publication_date | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| title | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | /metadata/title |
| updated_date | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 |