Data · dataset · 2026
DFG SPP2122 Interlaboratory Study Dataset
Listed in TUDOdata
An interlaboratory study (ILS) has been designed within the DFG Scientific Priority Program 2122 “Materials for Additive Manufacturing” (SPP 2122) for testing nanoparticle-modified and virgin AlSi10Mg and PA12 powder feedstocks along the entire process chain of powder bed fusion using a laser beam.
Description
The dataset contains measured powder, process, microstructure, and structural properties of both virgin and nano-modified metals and polymers generated by central laboratories and PBF-LB machines following the standard operational procedures (DOI: 10.17185/duepublico/82630)
Methods
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A comprehensive interlaboratory study (ILS) conducted across 32 international research institutions, investigating six feedstock types (virgin and nanoparticle-modified metals and polymers) along the entire PBF-LB process chain. For this purpose, a total of 69 different powder features were evaluated for each of the six powder material variants, as well as 15 process characteristics per print job and 78 part features, which were executed centrally (characterization) and decentralized (processing) strictly following SOPs (DOI: 10.17185/duepublico/82630) including Research Data Management regulations.
From these features, more than 1,200,000 data points were extracted for research data processing.
Links
Where it is published
- Dataverse dataset page data.tu-dortmund.de/dataset.xhtml?persistentId=doi%3A10.71955%2FDUEDATA-2026-MLAXQ… ↗
landing page · from data tu dortmund de
- DOI doi.org/10.71955/duedata-2026-mlaxqlwc ↗
DOI / persistent id · from data tu dortmund de
Catalogue records · 1
- Dataverse API data.tu-dortmund.de/api/datasets/:persistentId/?persistentId=doi%3A10.71955%2FDUED… ↗
metadata API · from data tu dortmund de
Topics
- Stated by source
- Chemistry
- From keywords
- Additive manufacturing · Chemistry · Engineering · Humanities · Mathematics & Statistics · Social Science
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| TUDOdata | doi:10.71955/DUEDATA-2026-MLAXQLWC | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:401401 | mapping · data tu dortmund de | vocabulary-mapper@1.0.0 | keywords['Additive manufacturing'] |
| concepts[field].dataverse_subject:chemistry | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| created_date | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | |
| description | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /description |
| publication_date | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | |
| title | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /name |
| updated_date | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | |
| version_label | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 |