Digital object identifier for additively manufactured parts based on 3D microstructural information
- Additive manufacturing (AM) is rapidly emerging from prototyping to industrial production [1]. Thus, providing AM parts with a tagging feature that allows unambiguous identification, can be crucial for logistics, certification, and anti-counterfeiting purposes. The digital object identifier (DOI) acts like a fingerprint for the product throughout its entire lifecycle. Several methods are already available, which range from encasing a detector [2] to leveraging the stochastic defects of AM parts [3], printing a quick response (QR) code or a set of voids partially filled with loose powder within the part [3]. A new method is using microstructural features of the AM part without altering their properties. This technology transfer project aims to implement this authentication methode as software solution to act as certificate in the Digital Product Passport (DPP) [5].
| Autor*innen: | Heike QuosdorfORCiD |
|---|---|
| Koautor*innen: | Anja WaskeORCiD, Kanhaiya Gupta, Konstantin Poka, Alexander Ulbricht, Ulrich Jahnke, Jens GünsterORCiD |
| Dokumenttyp: | Posterpräsentation |
| Veröffentlichungsform: | Präsentation |
| Sprache: | Englisch |
| Jahr der Erstveröffentlichung: | 2025 |
| Organisationseinheit der BAM: | 6 Materialchemie |
| 6 Materialchemie / 6.0 Abteilungsleitung und andere | |
| DDC-Klassifikation: | Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Ingenieurwissenschaften und zugeordnete Tätigkeiten |
| Freie Schlagwörter: | Additive manufacturing; Authentication; Digital fingerprint; Open Science, Material Digital; Open Source Software; Unique identification; X-ray Computed Tomography |
| Themenfelder/Aktivitätsfelder der BAM: | Material |
| Material / Additive Fertigung | |
| Veranstaltung: | QI Digital 2025 |
| Veranstaltungsort: | Berlin, Germany |
| Beginndatum der Veranstaltung: | 08.10.2025 |
| Enddatum der Veranstaltung: | 09.10.2025 |
| Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
| Datum der Freischaltung: | 19.12.2025 |
| Referierte Publikation: | Nein |

