TY - CONF A1 - Koch, Claudia T1 - Standardization in emerging technologies - The case of additive manufacturing N2 - Additive Manufacturing provides an important enabling technology for the digital transformation of the economy. As an emerging technology it has seen a remarkable development over the last three decades. Nevertheless, it is far from a broad adoption with several barriers to overcome yet. One of the major challenges is the lack of standards. The critical role of standardization for innovation is generally recognized, still the topic too often has been neglected in strategic roadmapping exercises for emerging technologies. Too little is known about the complex dynamics and interrelations of standardization and innovation. The anticipation of standardization needs and the timely and efficient implementation of standards is challenging. This paper aims at contributing to a better understanding of the role that standards play in the multi-dimensional system of innovation. It analyzes the trajectories of innovation in Additive Manufacturing in a systematic and holistic way, focusing on standardization activities with regard to coordination, stakeholders involved, the timing and types of standards developed. Putting standardization in context of the multi-dimensional innovation system of Additive Manufacturing the research shows where standards can support the diffusion of an emerging technology. T2 - 22nd EURAS Annual Standardisation Conference: Digitalisation: Challenge and Opportunity for Standardisation CY - Berlin, Germany DA - 28.06.2017 KW - 3D Printing KW - Additive manufacturing KW - Emerging technologies KW - Innovation KW - Standards PY - 2017 AN - OPUS4-46032 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Zocca, Andrea T1 - Layerwise slurry deposition for Additive Manufacturing: from densely packed powder beds to dense technical ceramics N2 - Several Additive Manufacturing (AM) processes are based on the deposition of a powder to form a powder bed layer-by-layer, which typically has a low packing density (35-50%) and consequently hinders the ability of sintering ceramic parts to full density. The layerwise slurry deposition (LSD) is an innovative process for the deposition of layers in AM. In the LSD, a slurry with no or small organic content is repetitively spread as thin layers on each other by means of a doctor blade. During the deposition, the ceramic particles settle to form thin layers with a high packing density (55-60%). When coupled with a printing head or with a laser, the LSD enables novel AM technologies inspired to the 3D printing or selective laser sintering, but taking advantage of having a highly dense powder-bed. The LSD combined with inkjet binder printing (LSD-print) was applied to a submicron Al2O3 powder to produce samples which had a comparable density to uniaxially pressed samples, both in the green and in the sintered state. T2 - 92nd DKG Annual Meeting & Symposium on High-Performance Ceramics 2017 CY - Berlin, Germany DA - 19.03.2017 KW - Layerwise slurry deposition KW - Ceramic KW - Additive Manufacturing KW - 3D Printing PY - 2017 AN - OPUS4-44169 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Zocca, Andrea T1 - LSD-3D printing: a novel technology for the Additive Manufacturing of ceramics N2 - The layer-wise slurry deposition (LSD) is an innovative process for the deposition of powder layers with a high packing density for Additive Manufacturing (AM). A slurry with small organic content is repetitively spread as thin layers on top of each other by means of a doctor blade. During the deposition, the ceramic particles settle to form thin layers with a high packing density (55-60%). Each layer is then dried, resulting in the stacking of a dry powder bed with high powder packing. When coupled with a printing head or with a laser source, the LSD enables novel AM technologies inspired to the 3D printing or selective laser sintering, but taking advantage of having a highly dense powder bed. The LSD -3D printing, in particular, offers the potential of producing large (> 100 mm) and high quality ceramic parts, with microstructure and properties similar to traditional processing. This presentation will give an overview of the milestones in the development of this technology, with focus on the latest results applied both to silicate and to technical ceramics. T2 - 15th Conference & Exhibition of the European Ceramic Society (ECerS2017) CY - Budapest, Hungary DA - 09.07.2017 KW - Layerwise Slurry Deposition KW - Ceramics KW - Additive Manufacturing KW - 3D Printing PY - 2017 AN - OPUS4-44171 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Seeger, Stefan T1 - VOC, Fine and Ultrafine Particles Emissions from Additive Manufacturing and 3D-Printers N2 - The presentation gives an overview on Additive Manufacturing techniques and related potential risks from emission of hazardous gases and aerosols, based on emission characterizations in BAM. Voluntary mitigation strategies are presented T2 - BAM - JBMIA (Japan Business Machine and Information System Industries Association) Meeting, JBMIA Emissions Working Group Meeting CY - Tokyo, Japan DA - 04.05.2019 KW - 3D Printing KW - Additive Manufacturing KW - Particulate emissions KW - Emissions of hazardous gases KW - Filament comparison PY - 2019 AN - OPUS4-47812 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kilic, Özge T1 - Tracking collective behavioural responses of termites with machine learning pose estimation software N2 - Termites, as eusocial insects, exhibit complex social behaviors critical to their ecological roles. This study employs cutting-edge machine learning techniques, specifically SLEAP pose estimation software, to investigate the interactions of *Reticulitermes flavipes* within controlled environments. By leveraging advanced tracking methods, this research addresses challenges such as track breaks in movement data and uses custom coding solutions to ensure accurate reconnections, preserving the continuity and reliability of individual and group behavior analyses. Custom-designed 3D-printed habitats facilitate controlled observations, while machine learning enables the annotation and tracking of key body segments (mandible, thorax, and abdomen). This approach provides granular insights into colony dynamics, highlighting task differentiation and social clustering. Future applications include the development of automated, continuous recording setups and expanded experiments to examine the impact of varying environmental conditions. This interdisciplinary work, combining biology and data science, advances our understanding of termite social systems and paves the way for predictive simulations of their activity. Such insights contribute to ecological management strategies and deepen our knowledge of collective animal behaviors. T2 - ASAB 2024 CY - Exeter, United Kingdom DA - 21.04.2024 KW - Machine learning KW - Artifical Intelligent KW - Social behaviour KW - 3D Printing KW - Pose estimation KW - Tracking PY - 2024 AN - OPUS4-61830 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -