Published April 29, 2026 | Version version 1
Dataset Open

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

Description

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:

  1. 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. 
  2. Fabrication: Specimens were printed on the MMSL machine with two distinct photopolymers.
  3. Testing: Tensile tests were performed on an Zwick Z050, the unfiltered results are available in this dataset. 
  4. Prediction: Results of tensile tests were used to build models and predict the results of all 60 unique combinations.
  5. 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!

Files

B-rep.zip

Files (21.6 MiB)

NameSize
md5:6bf7161450cf6accfcc5d8782d04bbc5
1.3 MiBPreview Download
md5:ddcfb34cc418a622b40c9b449ebe8d23
9.6 MiBPreview Download
md5:fd1f4a5783c9d991542fb6341bc71f8f
9.6 MiBPreview Download
md5:11dc814c1eb7437fd3bc07f740261682
1.1 MiBPreview Download

Additional details

Dates

Collected
2026-04-29
Data uploaded to TU Wien Researchdata