Practical, Ontology-Based Research Data Management in Additive Manufacturing

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Abstract

The AMTwin joint project is developing models for mapping interactions between material and manufacturing process parameters and final component properties. The components are made of Ti6Al4V by selective laser melting. Modeling is performed at the microstructure level and is based on data
from the manufacturing process and material and structural testing, the linking of which along the process chain and partners respectively is a key challenge. For this, a functioning research data management (RDM) is absolutely necessary. This paper presents a concept for a practicable RDM that takes the entire research data lifecycle into account. In the concept, process data is documented via metadata, whose metadata schemas are based on an ontology for additive manufacturing. The ontology thus forms the basis for a uniform, common technical language across laboratory and project boundaries. The feasibility of the concept is demonstrated using the example of "documentation of tensile tests".

Details

Original languageGerman
Title of host publication39. Vortrags- und Diskussionstagung Werkstoffprüfung „Werkstoffe und Bauteile auf dem Prüfstand: Prüftechnik – Kennwertermittlung – Schadensvermeidung“
Place of Publicationvirtual
PublisherBrockmann, S. ; Krupp, U.
Pages221-228
Number of pages8
ISBN (print)978-3-941269-98-9
Publication statusPublished - 17 Dec 2021
Peer-reviewedYes

External IDs

ORCID /0000-0001-7540-4235/work/193705381
ORCID /0009-0009-9342-629X/work/193863839

Keywords

Research priority areas of TU Dresden