Research Data for "Topological Influence on the Tensile Performance of Multi-Material SLA 3D Printed Cellular Structures"

DOI

Context and methodology

This dataset was developed within the field of Additive Manufacturing (AM), specifically focusing on Multi-Material Stereo Lithography (MMSL). 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.

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. 

Further details

If you use the dataset, please cite the original paper!

Identifier
DOI https://doi.org/10.48436/71a45-v2t15
Related Identifier IsVersionOf https://doi.org/10.48436/2av64-bjr33
Metadata Access https://researchdata.tuwien.ac.at/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:researchdata.tuwien.ac.at:71a45-v2t15
Provenance
Creator Laa, Dominik ORCID logo; Geyer, Sebastian ORCID logo; Koch, Thomas ORCID logo; Stampfl, Jürgen ORCID logo
Publisher TU Wien
Publication Year 2026
Rights Creative Commons Attribution 4.0 International; GNU General Public License v3.0 or later; https://creativecommons.org/licenses/by/4.0/legalcode; https://www.gnu.org/licenses/gpl-3.0-standalone.html
OpenAccess true
Contact tudata(at)tuwien.ac.at
Representation
Language English
Resource Type Dataset
Version version 1
Discipline Design; Fine Arts, Music, Theatre and Media Studies; Humanities