62518 2025 eng 1771 1783 3 10 article Springer Science and Business Media LLC 1 -- -- -- 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. Progress in Additive Manufacturing 10.1007/s40964-025-00978-w urn:nbn:de:kobv:b43-625187 2363-9520 true {"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,4]],"date-time":"2025-02-04T05:10:29Z","timestamp":1738645829426,"version":"3.35.0"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2025,2,3]],"date-time":"2025-02-03T00:00:00Z","timestamp":1738540800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,2,3]],"date-time":"2025-02-03T00:00:00Z","timestamp":1738540800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Federal Ministry of Economics and Climate Protection","award":["QI-Digital","QI-Digital","QI-Digital","QI-Digital","QI-Digital"]},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["Pro FIT \u2013 10193148"],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Bundesanstalt f\u00fcr Materialforschung und -pr\u00fcfung (BAM)"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Prog Addit Manuf"],"abstract":"<jats:title>Abstract<\/jats:title>\n <jats:p>Powder Bed Fusion with Laser Beam of Metals\u00a0(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\u00a0M\u00a0300\u20134 multi-laser machine. An Extract, Transform, Load\u00a0(ETL) pipeline autonomously captures machine data, including scan vectors as well as process signals, and organizes them into a Digital Shadow\u00a0(DS). The DS is further extended by external data sources, such as Melt Pool Monitoring\u00a0(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.<\/jats:p>","DOI":"10.1007\/s40964-025-00978-w","type":"journal-article","created":{"date-parts":[[2025,2,3]],"date-time":"2025-02-03T10:16:56Z","timestamp":1738577816000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Quality assurance via a cyber physical system of a PBF-LB\/M machine"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7340-8822","authenticated-orcid":false,"given":"Konstantin","family":"Poka","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5703-2483","authenticated-orcid":false,"given":"Sozol","family":"Ali","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0777-0604","authenticated-orcid":false,"given":"Waleed","family":"Saeed","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7463-1556","authenticated-orcid":false,"given":"Benjamin","family":"Merz","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6635-8158","authenticated-orcid":false,"given":"Martin","family":"Epperlein","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8875-6547","authenticated-orcid":false,"given":"Kai","family":"Hilgenberg","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,2,3]]},"reference":[{"key":"978_CR1","volume-title":"Wohlers Report 2024: 3D printing and additive manufacturing global state of the industry","author":"Wohlers TT, Associates W, Campbell I, Diegel O, Huff R, Kowen J, Mostow N, Staff WA.","year":"2024","unstructured":"Wohlers TT, Associates W, Campbell I, Diegel O, Huff R, Kowen J, Mostow N, Staff WA. 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