@article{62160,
  abstract     = {{<jats:p>Laser powder bed fusion is a cornerstone technology for additive manufacturing (AM) of metals and polymers, yet challenges in achieving consistent reproducibility and process optimization persist. Addressing these requires a systematic understanding of the interactions between feedstock, process parameters, and final part characteristics throughout the entire production chain. This study presents results from a comprehensive interlaboratory investigation conducted by 32 research institutions, evaluating six feedstock, including nanoparticle‐modified aluminum alloy and polyamide powders, under standardized protocols. Data analysis encompasses 69 powder properties, 15 process parameters per print, and 78 part features, culminating in a dataset of over 1.2 million correlations. Advanced statistical methods and machine learning are employed to identify critical variability drivers, such as the impact of nanoparticle modifications on powder flowability and thermal conductivity, as well as the influence of process parameters on reproducibility. Newly introduced dimensionless figures of merit provide universal metrics to describe and predict thermal and mechanical interactions, simplifying process optimization and material characterization. The findings, supported by an open‐access dataset adhering to findable, accessible, interoperable, and reusable principles, advance understanding of material–process–structure–property relationships. They establish a benchmark for future research and lay the foundation for improving the reliability, quality, and sustainability of AM processes.</jats:p>}},
  author       = {{Kuşoğlu, Ihsan Murat and Garg, Sunidhi and Abel, Arvid and Balachandran, Prasanna V. and Barcikowski, Stephan and Becker, Louis and Bernsmann, Jan-Simeon and Boseila, Jonas and Broeckmann, Christoph and Coskun, Mert and Dreyer, Malte and East, Mark and Easton, Mark and Ellendt, Nils and Gann, Stan and Gökce, Bilal and Goßling, Mareen and Greiner, Joachim and Gruber, Piotr and Grünewald, Moritz and Gurung, Kopila and Hantke, Nick and Hengsbach, Florian and Holländer, Hannes and Van Hooreweder, Brecht and Hoyer, Kay-Peter and Huang, Yajiang and Huber, Florian and Kessler, Olaf and Kısasöz, Burçin Özbay and Kleszczynski, Stefan and Koc, Ebubekir and Kurzynowski, Tomasz and Kwade, Arno and Leupold, Simon and Liu, Dongmei and Lomo, Felix and Lüddecke, Arne and Luinstra, Gerrit A. and Mauchline, David A. and Meyer, Fabian and Meyer, Lars and Middendorf, Peter and Nolte, Stefan and Olejarczyk, Michał and Overmeyer, Ludger and Pich, Andrij and Platt, Sebastian and Radtke, Felix and Ramm, Roland and Rittinghaus, Silja-Katharina and Rothfelder, Richard and Rudloff, Johannes and Schaper, Mirko and Scheck, Marie Luise and Schleifenbaum, Johannes Henrich and Schmidt, Michael and Sehrt, Jan T. and Shabanga, Yvonne P. and Sommereyns, Alexander and Steuer, Rabea and Tisha, Layla Shams and Toenjes, Anastasiya and Tuck, Christopher and Vaghar, Adrian and Vrancken, Bey and Wang, Zhengze and Weber, Sebastian and Wegner, Jan and Xu, Bai-Xiang and Yang, Yangyiwei and Zhang, Duyao and Zhuravlev, Evgeny and Ziefuss, Anna R.}},
  issn         = {{1438-1656}},
  journal      = {{Advanced Engineering Materials}},
  number       = {{14}},
  publisher    = {{Wiley}},
  title        = {{{Large‐Scale Interlaboratory Study Along the Entire Process Chain of Laser Powder Bed Fusion: Bridging Variability, Standards, and Optimization across Metals and Polymers}}},
  doi          = {{10.1002/adem.202402930}},
  volume       = {{27}},
  year         = {{2025}},
}

@article{33694,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>The round robin test investigated the reliability users can expect for AlSi10Mg additive manufactured specimens by laser powder bed fusion through examining powder quality, process parameter, microstructure defects, strength and fatigue. Besides for one outlier, expected static material properties could be found. Optical microstructure inspection was beneficial to determine true porosity and porosity types to explain the occurring scatter in properties. Fractographic analyses reveal that the fatigue crack propagation starts at the rough as-built surface for all specimens. Statistical analysis of the scatter in fatigue using statistical derived safety factors concludes that at a stress of 36.87 MPa the fatigue limit of 10<jats:sup>7</jats:sup> cycles could be reached for all specimen with a survival probability of 99.999 %.</jats:p>}},
  author       = {{Schneider, M. and Bettge, D. and Binder, M. and Dollmeier, K. and Dreyer, Malte and Hilgenberg, K. and Klöden, B. and Schlingmann, T. and Schmidt, J.}},
  issn         = {{2195-8599}},
  journal      = {{Practical Metallography}},
  keywords     = {{Metals and Alloys, Mechanics of Materials, Condensed Matter Physics, Electronic, Optical and Magnetic Materials}},
  number       = {{10}},
  pages        = {{580--614}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Reproducibility and Scattering in Additive Manufacturing: Results from a Round Robin on PBF-LB/M AlSi10Mg Alloy}}},
  doi          = {{10.1515/pm-2022-1018}},
  volume       = {{59}},
  year         = {{2022}},
}