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13 results for “Solidification”
Data for Dodds et al., The direction of core solidification in asteroids: implications for dynamo generation
<p>Numerical dataset for the data presented in Dodds et al., The direction of core solidification in asteroids: implications for dynamo generation, manuscript submitted to Icarus journal.</p>
Novel biodegradable Zn alloys obtained by rapid solidification and high pressure torsion - NCN Poland Project - Dataset Feb.2024
<p>Dataset contains results obtained during the first year of the project No. 2021/40/C/ST5/00071 "Novel biodegradable Zn alloys obtained by rapid solidification and high pressure torsion" funded by NCN Poland. </p> <p>The dataset contains: SEM, TEM, nanoindentation, hardness and uniaxial tensile testing results. </p>
Dataset for Effect of matrix solidification on the structure formation in electromagnetic suspensions
<p><strong>Introduction:</strong> Dataset from numerical simulations describing the structure formation in suspensions with electromagnetically active particles in an external field, as described in detail in the paper</p> <ul> <li>Konstantinos Manikas, Markus Hütter, Patrick D. Anderson: Effect of matrix solidification on the structure formation in electromagnetic suspensions. Appl. Phys. A, 128: 709 (11 pages), 2022. DOI: 10.1007/s00339-022-05844-y WWW: https://doi.org/10.1007/s00339-022-05844-y</li> </ul> <p>which should be cited whenever this dataset is used. The data compiled here is the basis for figures 4, 5, and 6 in that paper.</p> <p> </p> <p><strong>Format:</strong> The files are provided in plain-text format (ascii).</p> <p> </p> <p><strong>Filenames:</strong> The nomenclature for the filenames follows the following scheme:</p> <ul> <li>data_fig{number}_{param}_{value}.txt</li> </ul> <p>where {number} specifies the number of the figure in the paper, {param} is the parameter that is studied and {value} denotes its numerical value (see the paper for details).</p> <p> </p> <p><strong>File content:</strong> Each datafile contains 1 header line, in which the meaning of the data-columns are explained (time, S2, N*, lambda* -- see paper for details), and the studied parameter and its value are listed. After this header line, the data is presented in tab-delimited columns.</p> <p> </p> <p>For further details, the reader is referred to the paper mentioned above.</p>
NEMARCO project: Dataset for the publication "Solidification Path, Strengthening Mechanisms and Hardness of Ni-Cr-Si-Fe-B Self-Fluxing Alloys Obtained by Laser-Directed Energy Deposition (LMD)"
<p><strong>LMD dataset</strong></p> <p>This dataset gathers data from different parts of the Laser Metal Deposition metal Additive Manufacturing process (DED-LB). The dataset covers not only the process development data for samples manufacturing and monitored data of the melt pool size during the process, but also the metrics associated to the powder feedstock consumption, energy consumption and process efficiency.</p> <p><strong>Motivation</strong></p> <p>Nickel-based Ni-Cr-Si-B self-fluxing alloys are excellent candidates to replace Cobalt-based alloys in aeronautical components. In this work, metal additive manufacturing by directed energy deposition using a laser beam (DED-LB, also known as LMD) and gas-atomized powders as a material feedstock is presented as a potential manufacturing route for the complex processing of these alloys. This research deals with the advanced material characterization of these alloys obtained by LMD and the study and understanding of their solidification paths and strengthening mechanisms.</p>
Data from: The rainfall effect onto solidification and stabilization of heavy metal-polluted sediments
Rainfall makes impacts on process of solidification/stabilization and the long-term safety of solidified matrix. In this study, the effect of rainfall on solidification/stabilization process was investigated by rainfall test. The unconfined compressive strength (UCS) and toxicity characteristic leaching procedure (TCLP) were adopted to characterize the properties of S/S sediments before and after rainfall test. The samples cured for 28 days were subjected to semi-dynamic leaching tests with a simulated acidic leachant prepared at pH of 2.0, 4.0 and 7.0. Effectiveness of S/S treatment was evaluated by diffusion coefficient (D_e) and leachability index (LX). The results indicated that UCS decreased at maximum deterioration rate of 34.29% of the compressive strength after 7 days of curing, along with minimum rate of 7.89% after 28 days by rainfall, with >14 days referred. The rainfall had little effect on the leaching characteristics of heavy metals during the curing process. The simulated acid rain could make significant impacts on the leaching behavior of the heavy metals in the S/S materials. All cumulative fraction of leached heavy metals were less than 2.0 % which showed the good stabilization of cement. Furthermore, the calculated diffusion coefficient (D_e) for Cu was 1.28×10-11〖cm〗^2/s, indicating that its mobility was relatively low of heavy in S/S sediments. The calculated diffusion coefficient (Di) for Cd, Cu and Pb were 7.44×10-11, 8.18×10-12 and 7.85×10-12〖cm〗^2/s respectively, indicating that its mobility was relatively low of heavy metal in S/S sediments.
Dataset for Dichotomic core solidification caused by nonideally-mixing effects in rocky planets
<p>All data involved in the manuscript.</p>
Supporting dataset for manuscript "Direct viscosity measurement of peridotite melt under lower-mantle conditions supports a fractional magma ocean solidification at top lower mantle conditions"
<p>Supporting material for manuscript "<strong>Direct viscosity measurement of peridotite melt under lower-mantle conditions supports a fractional magma ocean solidification at top lower mantle conditions"</strong></p>
A More Physiological Feeding Process in ICU:the Intermittent Infusion With Semi-solidification of Nutrients
ClinicalTrials.gov study NCT03017079. IPD Sharing: NO. Countries: 1. Publications: 8.
Data from: The rainfall effect onto solidification and stabilization of heavy metal-polluted sediments
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Melting of hydrogen-unsaturated iron hydride at high pressure and implications for core solidification in terrestrial planets
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Data for the strength-ductility enhancement of 316L stainless steel meta-crystal lattice of architected materials by harnessing the non-equilibrium solidification in metal additive manufacturing
<p>Raw (tabular) CALPHAD data for SLM produced 316L stainless steel.</p>
Data from: A 3D Analysis of Dendritic Solidification and Mosaicity in Ni-Based Single Crystal Superalloys
<p>Author: F. Scholz, M. Cevik, P. Hallensleben, P. Thome, G. Eggeler, J. Frenzel</p> <p>Affiliation: Ruhr University Bochum</p> <p>Date: 08/2021</p> <p>Material: Nickel-base superalloy ERBO/1 (more details: Parsa, A. B., et al. Advanced scale bridging microstructure analysis of single crystal Ni-base superalloys. Adv. Eng. Mater. 2015, 17 (2), 216-230, <a href="https://doi.org/10.1002/adem.201400136">https://doi.org/10.1002/adem.201400136</a>)</p> <p>Casting: Bridgman seed technique; Withdrawal rate: 180 mm/h, Thermal gradient 13.3 K/mm (more details: Hallensleben, P., et al. On the evolution of cast microstructures during processing of single crystal Ni-base superalloys using a Bridgman seed technique, Mat. Des. 2017, 128, 98–111, <a href="https://doi.org/10.1016/j.matdes.2017.05.001">https://doi.org/10.1016/j.matdes.2017.05.001</a>)</p> <p>Sample: Cross sectional slices extracted perpendicular to the growth direction of a single crystal superalloy cylinder (diameter 12mm, length 120 mm).</p> <p>Image acquisition: Optical microscope of type Axio (Carl Zeiss GmbH) equipped with a high-resolution CCD-camera of type Leica DFC320 and stepper-motor driven sample stage of type Tango Desktop (Märzhäuser)</p> <p>Image pre-processing: Preparation of wide-field image collages using the stitching procedures implemented in software package Imagic ims (<a href="https://imagic.ch/en/imagic-ims">https://imagic.ch/en/imagic-ims</a>, 07/2021)</p> <p>Image post-processing: Image registration with CorelDraw X7 (: <a href="https://www.coreldraw.com/en/">https://www.coreldraw.com/en/</a>, 07/2021) using a contour reference mask</p> <p>Quantitate analysis: Dendrite positions were extracted using the software package ImageJ (<a href="https://imagej.de.softonic.com/">https://imagej.de.softonic.com/</a>, 07/2021).</p> <p>--------------------------------------</p> <p>The five optical micrographs cross sections represent image data which were obtained by tomographic characterization of as-cast single crystal nickel-base superalloy prepared by a seeded Bridgman technique. The material has been studied in the frame of the collaborative research center SFB/TR 103. All details on the applied Bridgman technique are described in the literature (Hallensleben, P., et al., Mat. Des. 2017, 128, 98–111, <a href="https://doi.org/10.1016/j.matdes.2017.05.001">https://doi.org/10.1016/j.matdes.2017.05.001</a> and Hallensleben, P., et al., Crystals 2019, 9 (3), 149, <a href="https://doi.org/10.3390/cryst9030149">https://doi.org/10.3390/cryst9030149</a>). The tomographic image slices were prepared by successive electro discharge machining using incremental steps of 1mm. The image series represents the evolution of dendritic microstructures during the early stages of crystal growth from the back melted seed. The five wide-field micrographs were used to retrieve dendrite positions (enclosed as CSV data for each cross section) to evaluate crystal mosaicity on the basis of dendrite growth directions. All information and a detailed interpretation of tomographic are available in (Scholz, F., PhD-thesis, Ruhr University Bochum, <a href="https://doi.org/10.13154/294-8079">https://doi.org/10.13154/294-8079</a>). We hope that our image data will be useful for other types of solidification research. Please provide a notification by personal mail on the re-use of our raw data. Thank you.</p> <p>All images and dendrite position data were evaluated in the following study concerning dendrite growth behavior, low angle misorientation defects, dendrite arrangements and spacings:</p> <p>Scholz, F.; Cevik, M.; Hallensleben, P.; Thome, P.; Eggeler, G.; Frenzel, J. A 3D Analysis of Dendritic Solidification and Mosaicity in Ni-based Single Crystal Superalloys, Materials 2021, 14 (17), 4904 (https://doi.org/10.3390/ma14174904).</p>
Data from: Utilization of metakaolin based geopolymer as a mud-cake solidification agent to enhance the bonding strength of oil well cement-formation interface
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.