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    Effect of the Current Density on the Electrodeposition Efficiency of Zinc in Aqueous Zinc-Ion Batteries

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    Increasing the electrodeposition efficiency of metallic zinc from quasi-neutral aqueous electrolytes is one of the major key requirements for the commercialization of rechargeable aqueous Zn-ion batteries. Several strategies have been recently reported in the literature. Unfortunately, electrochemical studies on the effect of different current densities on the zinc electrodeposition efficiency usually are not recorded in realistic experimental conditions: e. g. depth of discharges 2+, etc. Here, the effect of the current density on the zinc electrodeposition onto optimized bismuth-indium substrates cycled with 33 % of depth of discharge in a ZnSO4-containing aqueous solution has been investigated. It was found that low Zn plating/stripping current densities displayed higher electrodeposition efficiencies over 200 Zn electrodeposition/dissolution cycles, more homogeneous distribution of the zinc deposits and lower amounts of inactive zinc passivation products. When higher current densities were applied during the Zn plating/stripping cycles, lower electrodeposition efficiencies and a greater amount of inactive zinc hydroxides and dead zinc were observed on the electrode surface.11

    Position Paper: Preparing XR Working Environments for the Industrial Metaverse Era

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    The vision of the Industrial Metaverse comprises integration of the physical and the virtual world and collaboration of multiple disciplines within and across companies as they are working in value creating networks [1,2]. Vertical and horizontal integration - even beyond the borders of companies - poses new challenges for extended reality (XR) working environments. However, the Industrial Metaverse era also opens new potential for wider application of XR technology. This position paper discusses these two sides of the same medal and hints to research directions needing further exploration in the future to make XR workplaces an integral part of the Industrial Metaverse era

    Additive manufacturing of short fiber oxide ceramic matrix composite: Process analysis and material properties

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    38633875This work investigates the material extrusion-based additive manufacturing (AM) process chain of a pure alumina-based oxide ceramic matrix composite, starting from material selection, large-scale compounding to pellets, the AM process itself, debinding and sintering as well as microstructural and mechanical characterization. The compounded pellets have a volume share of 50% binder (polyvinyl butyral [PVB], polyethylene glycol [PEG], and stearic acid) and 50% alumina (Al2O3, alumina powder, and Nextel 610 alumina fibers) with an aimed fiber volume share of 40% after sintering. The material is compounded on an industrial scale with approximately 10 kg/h and the material extrusion-based AM process reaches speeds of up to 1000 mm/s. A variation of the feed rate leads to a significant increase in surface roughness and an increase in mass of 30%, in thickness of 12% and in width of 25%. The flexural behavior in the four-point-bending test can be described by a fast first peak and reaching higher flexural strength after the first crack subsequent with averages of 23.8 ± 3.6 MPa below.1% elongation. The fracture surfaces show the expected failure mechanisms like pull-out and crack deflection. The resulting fiber length in the printed samples is 140 µm in average.21

    Clinical Care for Cardiovascular Disease in Patients With Williams–Beuren Syndrome

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    Williams–Beuren syndrome (WBS) is a congenital multisystem disorder affecting the cardiovascular, central nervous, and musculoskeletal systems. Cardiovascular abnormalities, which consist principally of vascular stenoses, occur in approximately 80% of people with WBS and are the predominant cause of early morbidity and mortality. Supravalvar aortic stenosis and peripheral pulmonary artery stenosis are the most common stenotic lesions in WBS, though other stenoses often occur, including stenoses of the coronary arteries. Approximately one-third of people with WBS undergo cardiovascular interventions. The risk of sudden cardiac death is markedly higher than the general population, with most events occurring in the periprocedural period. Because of the rarity of WBS and the often-complex nature of the cardiovascular abnormalities, most physicians, including cardiologists, have limited experience in caring for patients with WBS. Further, heretofore, clinical cardiovascular management guidelines based on international expert consensus have not been available. This state-of-theart review provides a comprehensive synopsis of the cardiovascular abnormalities in WBS and presents clinical management guidelines based on the authors’ expert consensus.131

    Deep segmentation of 3+1D radar point cloud for real-time roadside traffic user detection

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    Smart cities rely on intelligent infrastructure to enhance road safety, optimize traffic flow, and enable vehicle-to-infrastructure (V2I) communication. A key component of such infrastructure is an efficient and real-time perception system that accurately detects diverse traffic participants. Among various sensing modalities, automotive radar is one of the best choices due to its robust performance in adverse weather and low-light conditions. However, due to low spatial resolution, traditional clustering-based approaches for radar object detection often struggle with vulnerable road user detection and nearby object separation. Hence, this paper proposes a deep learning-based 3+1D radar point cloud clustering methodology tailored for smart infrastructure-based perception applications. This approach first performs semantic segmentation of the radar point cloud, followed by instance segmentation to generate well-formed clusters with class labels using a deep neural network. It also detects single-point objects that conventional methods often miss. The described approach is developed and experimented using a smart infrastructure-based sensor setup and it performs segmentation of the point cloud in real-time. Experimental results demonstrate 95.35% F1-macro score for semantic segmentation and 91.03% mean average precision (mAP) at an intersection over union (IoU) threshold of 0.5 for instance segmentation. Further, the complete pipeline operates at 43.61 frames per second with a memory requirement of less than 0.7 MB on the edge device (Nvidia Jetson AGX Orin). We will release the RoadsideRadar dataset along with the code implementation of this work at https://github.com/bhanderisavan/roadside-radar-seg1

    Investigation of the potential of dipping as a technology for bifunctional assemblies as a coating material

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    186191The biologicalisation of production represents an innovative approach to increase sustainability and efficiency, as well as improve the functionality of existing products and processes by incorporating bio-based materials into production. One area of biologicalisation of production involves the use of customized proteins for surface functionalization. The potential functionalities that can be achieved are diverse. For example, customized proteins have the potential to achieve antibacterial and anticorrosive functions. The resulting potentials can be utilized, for instance, in medicine and production technology. However, currently, there is a lack of fundamental knowledge regarding the application of customized proteins as bio-based coating materials for various conventional materials. This leads to new challenges for research and industry. Technologies for the scalable processing and application of bio-based materials such as bifunctional assemblies have not been sufficiently investigated yet. For the application of bifunctional assemblies for coating surfaces, coating technologies have been identified in the past, which are potentially capable of applying customized proteins as coatings to ensure individual functionalities. One of the identified coating technologies with high potential is dipping. The aim of this work is to present the results of initial investigations on the coating of different base materials with the fluorescent bifunctional assembly eGFP-LCI. The fluorescent bifunctional assembly was used because by measuring the fluorescence, an evaluation of the adhesion and based on that, the identification of possible cause-effect relationships in the coating of different materials with tailored bifunctional assemblies is possible. The findings from this series of experiments show that with increasing dipping duration, peptide concentration, and surface roughness of the workpiece cause an increase of the coating quality of PLA. While for other investigated materials, the observations did not apply. These fundamentals are essential for identifying further influencing factors and processability in the dipping process for bifunctional assemblies in production technology for common materials

    Optical Injection Locking of Different Distributed Reflector Laser Types

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    The linewidth and behavior of a single grating DFB and a complex sampled grating (SG) DBR laser under injection locking is investigated. Both laser types show the same linewidth in the locked state. In contrast to the cc-DFB, the SG-DBR has greater mode stability outside the locking range

    Towards a manufacturing related description of bifunctional assemblies

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    331336Biological transformation unlocks untapped potential for innovative, high-value products. Bifunctional assemblies enable diverse functionalities through modular combinations of biobased modules and offer the potential for cost-efficient and environmentally friendly functionalization of components. Component functionalization can be applied in industries with high economic and technological potential and societal relevance. In medical technology, for example, bifunctional assemblies have the potential to apply an antimicrobial coating to implants to ward off bacterial contamination of the surface. At present bifunctional assemblies have not yet been used in manufacturing in a scalable manner. Therefore, it is not possible to exploit these potentials because, from a manufacturing technology perspective, bifunctional assemblies are a new class of materials and therefore pose new requirements for manufacturing technology. It is not sufficiently known which manufacturing technologies can apply bifunctional assemblies to components in a scalable manner, i.e. over large areas, homogeneously and in large quantities. To identify biocompatible manufacturing technologies potentially suitable for the application of bifunctional assemblies to components, a description model is needed that provides technology-related manufacturing requirements of bifunctional assemblies. This work contributes to the systematic identification and quantification of these technology-related manufacturing requirements

    Laser Beam Micro-joining

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    475496This chapter describes two kinds of popularly used laser micro-joining techniques - laser beam soldering and laser beam welding. For the first, laser melting techniques, process parameters, quality control, and case studies are presented. For the latter, various joining techniques are introduced, such as spot welding, continuous welding, particularly with a technique called (Stepless High Speed Accurate and Discrete One Pulse Welding) SHADOW. The beam delivery, preconditions, limits of the process, etc., are also addressed

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