TY  - JOUR
A1  - Poka, Konstantin
A1  - Ali, Sozol
A1  - Saeed, Waleed
A1  - Merz, Benjamin
A1  - Epperlein, Martin
A1  - Hilgenberg, Kai
T1  - Quality assurance via a cyber physical system of a PBF-LB/M machine
JF  - Progress in Additive Manufacturing
N2  - Powder Bed Fusion with Laser Beam of Metals (PBF-LB/M) faces challenges in reproducibility and quality assurance, even for widely applied alloys like AlSi10Mg. This work introduces a digital provenance framework for PBF-LB/M, showcased through the EOS M 300–4 multi-laser machine. An Extract, Transform, Load (ETL) pipeline autonomously captures machine data, including scan vectors as well as process signals, and organizes them into a Digital Shadow (DS). The DS is further extended by external data sources, such as Melt Pool Monitoring (MPM), to enable comprehensive analysis and root cause identification. This approach ensures continuous data representation and facilitates the development of new quality metrics. Moreover, the framework enhances quality assurance and traceability, supports compliance with industry standards, and improves productivity. It also enables more precise cost calculations and predictive maintenance. By addressing these challenges, the framework is essential for advancing PBF-LB/M in industrial applications, achieving greater consistency and scalability in production.
KW  - PBF-LB/M
KW  - Data driven quality assurance
KW  - Data engineering
KW  - Digital shadow
PY  - 2025
UR  - https://nbn-resolving.org/urn:nbn:de:kobv:b43-625187
DO  - https://doi.org/10.1007/s40964-025-00978-w
SN  - 2363-9520
VL  - 10
IS  - 3
SP  - 1771
EP  - 1783
PB  - Springer Science and Business Media LLC
AN  - OPUS4-62518
LA  - eng
AD  - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany
ER  -