TY  - CONF
A1  - Quosdorf, Heike
T1  - Digital object identifier for additively manufactured parts based on 3D microstructural information
N2  - 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].
T2  - QI Digital 2025
CY  - Berlin, Germany
DA  - 08.10.2025
KW  - Authentication
KW  - Unique identification
KW  - Open Science, Material Digital
KW  - Digital fingerprint
KW  - Open Source Software
KW  - X-ray Computed Tomography
KW  - Additive manufacturing
PY  - 2025
AN  - OPUS4-65207
LA  - eng
AD  - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany
ER  -