A unique authenticator for additively manufactured parts derived from their microstructure
- Components produced using additive manufacturing can be marked for unique identification and secure authentication [1,2]. Serial numbers and machine-readable codes can be used to identify the component, and link digital product-related data (i.e., a digital product passport) to the actual components. The most prevailing solution consists of local process manipulation, such as printing a quick response (QR) code [3] or a set of blind holes on the surface of the internal cavity of hollow components. However, local manipulation of components may alter the properties, and external tagging features can be altered or even removed by post-processing treatments. This work therefore aims to provide a new methodology for identification, authentication, and traceability of additively manufactured (AM) components using microstructural features that are unique to each part. X-ray computed tomography (XCT) was employed to image the microstructural features of AlSi10Mg parts. Based on size andComponents produced using additive manufacturing can be marked for unique identification and secure authentication [1,2]. Serial numbers and machine-readable codes can be used to identify the component, and link digital product-related data (i.e., a digital product passport) to the actual components. The most prevailing solution consists of local process manipulation, such as printing a quick response (QR) code [3] or a set of blind holes on the surface of the internal cavity of hollow components. However, local manipulation of components may alter the properties, and external tagging features can be altered or even removed by post-processing treatments. This work therefore aims to provide a new methodology for identification, authentication, and traceability of additively manufactured (AM) components using microstructural features that are unique to each part. X-ray computed tomography (XCT) was employed to image the microstructural features of AlSi10Mg parts. Based on size and geometry, the most prominent features were selected to create a unique digital authenticator. We implemented a framework in Python using open-access modules that can successfully create a digital object authenticator using the segmented microstructure information from XCT. The authenticator is stored as a QR code, along with the 3D information of the selected features.…


| Autor*innen: | Anja Waske |
|---|---|
| Koautor*innen: | Kanhaiya Gupta, Konstantin Poka, Alexander Ulbricht |
| Dokumenttyp: | Vortrag |
| Veröffentlichungsform: | Präsentation |
| Sprache: | Englisch |
| Jahr der Erstveröffentlichung: | 2025 |
| Organisationseinheit der BAM: | 6 Materialchemie |
| 6 Materialchemie / 6.0 Abteilungsleitung und andere | |
| 8 Zerstörungsfreie Prüfung | |
| 8 Zerstörungsfreie Prüfung / 8.5 Röntgenbildgebung | |
| 9 Komponentensicherheit | |
| 9 Komponentensicherheit / 9.6 Additive Fertigung metallischer Komponenten | |
| DDC-Klassifikation: | Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Ingenieurwissenschaften und zugeordnete Tätigkeiten |
| Freie Schlagwörter: | Additive Manufacturing; Fingerprint; Non-destructive testing |
| Themenfelder/Aktivitätsfelder der BAM: | Material |
| Material / Additive Fertigung | |
| Veranstaltung: | MRS Spring Meeting Seattle |
| Veranstaltungsort: | Seattle, WA, USA |
| Beginndatum der Veranstaltung: | 07.04.2025 |
| Enddatum der Veranstaltung: | 11.04.2025 |
| Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
| Datum der Freischaltung: | 19.12.2025 |
| Referierte Publikation: | Nein |
| Eingeladener Vortrag (wissenschaftliche Konferenzen): | Nein |

