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].

[1] Godina, R., et al., Impact assessment of additive manufacturing on sustainable business models in industry 4.0 context. Sustainability, 2020. 12(17): p. 7066. [2] Lehmhus, D., et al., Customized smartness: a survey on links between additive manufacturing and sensor integration. Procedia Technology, 2016. 26: p. 284-301. [3] Eisenbarth, D., et al., Unique coding for authentication and anti-counterfeiting by controlled and random process variation in L-PBF and L-DED. Additive Manufacturing, 2020. 35: p. 101298. [5] CIRPASS, DPP in a nutshell, https://cirpassproject.eu/dpp-in-a-nutshell [6] Roth, C.C, Tancogne-Dejean, T., and Mohr, D., Plasticity and fracture of cast and SLM AlSi10Mg: High-throughput testing andmodeling, Additive Manufacturing, 2021. 43: p. 101998 [7] Additive Marking GmbH, 33100 Paderborn, https://additive-marking.de