Among the materials that might be manufactured with laser powder bed fusion (LPBF), one can highlight maraging steels, with excellent weldability, strength and fracture toughness. However, the effects of the processing parameters and the mechanisms governing the as-built texture are not clear yet. A recent publication showed a low texture index in the prior austenite, in contrast to other alloys subjected to LPBF with the same strategy. Authors suggested several hypotheses, although no conclusions were drawn. This work aims to investigate these findings by using a 300 maraging steel processed under different conditions, i.e. different printer, powder layer thickness and laser emission mode. To do so, X-Ray Diffraction, Electron Backscattered Diffraction and Scanning Electron Microscopy have been used. Results show that the heat treatment intrinsic to the LPBF process does not affect the prior austenite grains, whose texture and morphology remain unchanged throughout the process. Also, for the studied ranges, the microstructure texture is not related to the powder layer thickness or to the laser emission mode, although it could be affected by the laser power or the scan strategy. Finally, a low degree of variant selection has been observed, where the selected variants are those that contribute to a martensite cubic rotated texture.
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http://dx.doi.org/10.1038/s41598-022-19835-9 | DOI Listing |
Elife
January 2025
Department of Neurology, University of Iowa, Iowa City, United States.
The role of striatal pathways in cognitive processing is unclear. We studied dorsomedial striatal cognitive processing during interval timing, an elementary cognitive task that requires mice to estimate intervals of several seconds and involves working memory for temporal rules as well as attention to the passage of time. We harnessed optogenetic tagging to record from striatal D2-dopamine receptor-expressing medium spiny neurons (D2-MSNs) in the indirect pathway and from D1-dopamine receptor-expressing MSNs (D1-MSNs) in the direct pathway.
View Article and Find Full Text PDFAdv Mater
January 2025
Department of Nano Engineering, Department of Nano Science and Technology, Sungkyunkwan University Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University (SKKU), Seobu-ro 2066, Jangan-gu, Suwon, 16419, Republic of Korea.
Carbon nanotubes (CNTs) produced by the floating-catalyst chemical vapor deposition (FCCVD) method are among the most promising nanomaterials of today, attracting interest from both academic and industrial sectors. These CNTs exhibit exceptional electrical conductivity, optical properties, and mechanical resilience due to their binder-free and low-defect structure, while the FCCVD method enables their continuous and scalable synthesis. Among the methodological FCCVD variations, aerosol CVD' is distinguished by its production of freestanding thin films comprising macroscale CNT networks, which exhibit superior performance and practical applicability.
View Article and Find Full Text PDFPhys Chem Chem Phys
January 2025
Department of Physics, Assam University, Silchar-788011, India.
Density functional theory has been employed to study indolo[3,2,1-]carbazole donor-based dyes, incorporating one and two units of 2,4-dimethoxybenzene auxiliary donors. Electrostatic potential analysis highlights the dye with one auxiliary donor (D2) as having the highest charge-donating capability. Structural analysis shows that auxiliary donors enhance planarity, reduce steric hindrance, and improve π-conjugation.
View Article and Find Full Text PDFJ Microsc Ultrastruct
December 2022
Department of Histology and Cell Biology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Background: Studies in the digestive tract often required precision quantification of intestinal volume to observe the effect of certain intervention/condition. Application of stereological methods could bring unbiased and accurate results but commercially computer-assisted systems are not widely available. ImageJ-FIJI is an open source software, which could become an alternative choice in the stereological measurement process.
View Article and Find Full Text PDFData Brief
February 2025
ADA University, Baku, Azerbaijan.
Advancements in sign language processing technology hinge on the availability of extensive, reliable datasets, comprehensive instructions, and adherence to ethical guidelines. To facilitate progress in gesture recognition and translation systems and to support the Azerbaijani sign language community we present the Azerbaijani Sign Language Dataset (AzSLD). This comprehensive dataset was collected from a diverse group of sign language users, encompassing a range of linguistic parameters.
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