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333 results for “Titanium”
Titanium Alloys Database for Medical Applications
<p>The new 2.0 version (12.7.2023) includes the following modifications: 247 biocompatible Ti alloys; the table shows only literature data; a Jupyter notebook provides the calculated data.</p> <p>In this database, 238 titanium alloys were collected, almost entirely of biocompatible alloying elements. The primary motivation behind creating such a database is to establish a foundation for designing new alloys using machine learning methods. The database can assist researchers, engineers, and biomedical professionals in developing titanium alloys for various medical applications, thereby improving health outcomes and driving advancements in biomaterials and biomedical engineering.</p> <p>For more information read the paper at: <a href="https://doi.org/10.30544/MMD5"> https://doi.org/10.30544/MMD5 </a></p> <p>NOTE: To avoid misunderstandings, please cite both the database and the published article when citing this database.</p> <p>We invite other authors to contribute to the updating of this database (send at least 20 new alloys to appear as co-author)</p>
Dataset of "Black Titanium Oxide/Activated TaS2 Flakes Photoelectrode for Plasmon Assisted Hydrogen Evolution at Neutral pH at High Current Density"
<p>Nanotubular structure of black titania with sputtered gold and incorporation of 3R-TaS2 self-activated flakes for high current density and neutral pH usage for hydrogen evolution reaction. Dataset consists of electrochemical data (LSV, EIS, CA), x-ray difractograms, Raman spectra, SEM images with EDX mapping, UV-vis spectra, DEMS records, ICP-MS records, XPS spectra and compositional analysis and BET records.</p>
Intrinsic Temporal Behavior of Titanium Oxide Memristors for Neuromorphic Systems: Raw dataset
<p><strong>Methodology</strong></p> <p>Experiments were conducted on in-house fabricated Pt/TiO<sub>2</sub>/Au structure with thickness of 15/25/20<em>nm</em> respectively. The fabricated structures were characterized using a 16 x 16 probe card mounted on a Cascade Microtech Summit 12000 Prober controlled via a ARC ONE DC I-V control system.</p> <p>Stimulation was conducted over five repeating cycles to demonstrate the behaviour of the resistance over time. Potentiation and depression were triggered by pulses of opposite polarity. The bias could potentially be altered to achieve a desired starting resistance.</p> <p>A total of five repeating cycles were conducted. Each experiment was conducted on a pristine device with 4V programming pulse width of 10ms and inter-pulse of 100ms. A total of 100 pulses were applied per direction. Each identical programming pulse was followed by a 0.1V non-invasive reading pulse for a fixed duration.</p> <p>Attached csv file include resistive values for three devices along with their corresponding pulse train and time.</p>
Controllable temporal dynamics of titanium oxide memristor for analog time-based neuromorphic computing: Dataset
<p>Dataset used to produce graphs related to the temporal behavior of the Pt/TiO/Au memristors.</p>
Ionization of sputtered material in high power impulse magnetron sputtering plasmas - comparison of titanium, chromium and aluminum
<p>Experimental data set and modeling results to an upcoming publication titled: "Ionization of sputtered material in high power impulse magnetron sputtering plasmas - comparison of titanium, chromium and aluminum".</p> <p>The dataset contains current and voltage measurements (current-voltage-XX.txt), Langmuir probe measurements (probe-XX.txt) performed 8 mm above the racetrack position (using the method described here https://doi.org/10.1088/1361-6595/ab5e46), model results as explained in the paper and spectroscopic imaging profiles. The spectroscopic imaging profiles are obtained from Abel-inverted images in the radial direction by integrating between z=1mm and z=3mm and in the axial direction between r=12mm and r=15mm.</p>
Electrodeposited hydroxyapatite coating of titanium after ultrashort-pulsed lasers processing
<p></p> <p class="MsoNormal">The dataset presents surfaces features of<span> electrodeposited hydroxyapatite coating on titanium </span><span>modify </span><span>with ultrashort-pulsed lasers. </span></p> <p class="MsoNormal"><span>Four different hydroxyapatite coatings are created (A-D). Every coating is conditioned with four different laser irradiations 1-4 to 4-4 carried out in different parameter settings with altered power, velocity, and frequency. The surface features of laser-irradiated coating are presented. </span></p> <p class="MsoNormal"> </p>
Data and code for figures: Ultra-Low Threshold Titanium-Doped Sapphire Whispering-Gallery Laser
<p>This zip file contains the set of data and python notebook files used to plot the data that is presented in the Figures of the paper titled, "Ultra-Low Threshold Titanium-Doped Sapphire Whispering-Gallery Laser".</p>
Simulation file for "Titanium dioxide and silver nanoparticles air emissions risk assessment for spray coating processes in Witek, Italy – A case study"
<p>Underlying data for “Nanosized titanium dioxide particle emission potential from a commercial indoor air purifier photocatalytic surface – A case study”</p>
Additively Manufactured Titanium 'Alloy-Alloy Composites' and Site-Specific Property Design
<p>Paper links: Journal of Materials Characterization: https://doi.org/10.1016/j.matchar.2021.111577</p> <p>Research Gate (free preprint): https://bit.ly/3xy1Ldm</p> <p>Video written and produced by Alec Davis and Jacob Kennedy. Research was conducted at the University of Manchester and Cranfield University, UK, by Jacob Kennedy, Alec Davis, Armando Caballero, Michael White, Jon Fellowes, Ed Pickering, and Phil Prangnell. This work was supported by grants: NEWAM (EPSRC EP/R027218/1), Lightform (EPSRC EP/R001715/1), and Henry Royce Institute for Advanced Materials (EPSRC EP/R00661X/1, EP/S019367/1, EP/P025021/1, and EP/P025498/1).</p>
Electron Backscatter Diffraction Patterns from Titanium-added Interstitial-free Steel Containing Subgrains
<h3><strong>Associated Publications</strong></h3> <ol> <li>Bennett IV, T.J. and Taleff, E.M. Dynamic Grain Growth Driven by Subgrain Boundaries in an Interstitial-Free Steel During Deformation at 850 °C. <em>Metall Mater Trans A</em> 55, 429–446 (2024). <a href="https://doi.org/10.1007/s11661-023-07256-w">https://doi.org/10.1007/s11661-023-07256-w</a>.</li> <li>Bennett IV, T.J. and Taleff, E.M. Imaging and Segmenting Grains and Subgrains using Backscattered Electron Techniques. Under review (2024).</li> </ol> <h3><strong>Data Description</strong></h3> <p>These data were collected by Thomas J. Bennett IV on July 28, 2022.</p> <p>The electron backscatter diffraction (EBSD) data and associated electron backscatter diffraction patterns (EBSPs) contained herein were acquired from a titanium-added interstitial-free (Ti-IF) steel sheet material containing numerous subgrains. The Ti-IF steel specimen that provided these data was ramped to 850 degrees Celsius over 30 minutes, held at this temperature for one hour, and then deformed at a constant true-strain rate of 10^-4 s^-1. Upon reaching a final true strain of 0.225, the specimen was air quenched while maintaining a constant stress to preserve subgrains formed during high-temperature deformation. The tensile specimen was cut from a Ti-IF steel sheet received in a hard as-rolled condition with the tensile axis parallel to the sheet rolling direction. EBSPs were acquired from a section cut from the center of the deformed gage region using a JEOL JSM-IT300HR SEM equipped with an EDAX Velocity EBSD camera at the Center for Integrated Nanotechnologies.</p> <p>The following conditions were used for EBSD data acquisition:</p> <table> <tbody> <tr> <td>Accelerating Voltage:</td> <td>20 kV</td> </tr> <tr> <td>Beam Current:</td> <td>80%</td> </tr> <tr> <td>Working Distance:</td> <td>20.0 mm</td> </tr> <tr> <td>Magnification:</td> <td>200×</td> </tr> <tr> <td>Dynamic Focus:</td> <td>44 (out of 255, arbitrary units)</td> </tr> <tr> <td>Specimen Tilt:</td> <td>70 degrees</td> </tr> <tr> <td>Scanning Grid Type:</td> <td>Square</td> </tr> <tr> <td>Step Size (x and y):</td> <td>0.5 μm</td> </tr> <tr> <td>Scan Size:</td> <td>520 (across) × 340 (down) pixels</td> </tr> <tr> <td>EBSD Camera Resolution:</td> <td>446 × 446 pixels</td> </tr> <tr> <td>EBSD Camera Binning:</td> <td>1 × 1</td> </tr> <tr> <td>EBSD Camera Exposure Time:</td> <td>10 ms</td> </tr> <tr> <td>Frame Averaging:</td> <td>None</td> </tr> <tr> <td>Specimen Tensile Direction:</td> <td>Horizontal</td> </tr> <tr> <td>Specimen Rolling Direction:</td> <td>Horizontal</td> </tr> <tr> <td>Specimen Long Transverse Direction:</td> <td>Vertical</td> </tr> <tr> <td>Specimen Short Transverse Direction:</td> <td>Normal to plane</td> </tr> <tr> <td>Pattern Center (EMSphInx Convention):</td> <td>(x_pc, y_pc, L) = (-0.2 pixels, 112.76 pixels, 21736.4 μm)</td> </tr> <tr> <td>EBSD Camera Elevation Angle:</td> <td>3 degrees</td> </tr> <tr> <td>EBSD Camera Screen Width:</td> <td>32 mm</td> </tr> <tr> <td>Pixel size on EBSD Camera Screen:</td> <td>71.749 μm/pixel ( = 32000 μm / 446 pixels)</td> </tr> </tbody> </table> <p> </p> <p><em>Note:</em> Conversions between different pattern center conventions may be found in the journal article below or at the following link: <a href="https://github.com/EMsoft-org/EMsoft/wiki/DItutorial">https://github.com/EMsoft-org/EMsoft/wiki/DItutorial</a>.</p> <ul> <li>Jackson, M.A., Pascal, E., and De Graef, M. Dictionary Indexing of Electron Back-Scatter Diffraction Patterns: a Hands-On Tutorial. <em>Integr Mater Manuf Innov</em> 8, 226–246 (2019). <a href="https://doi.org/10.1007/s40192-019-00137-4">https://doi.org/10.1007/s40192-019-00137-4</a>.</li> </ul> <h3><strong>File Descriptions</strong></h3> <ul> <li>Specimen_orientation.pdf - A schematic showing specimen reference directions and the orientation used for EBSD data acquisition.</li> <li>Patterns.zip - A compressed archive containing Patterns.up2. This file contains 16-bit EBSPs and is 70,336,697,616 bytes (70.3 GB) uncompressed.</li> <li>SHT_Indexed.ang - A file containing orientation data produced by indexing Patterns.up2 using EMSphInx. Orientations are represented by Euler angles (Bunge convention) and are to be interpreted using the EDAX Setting 2 convention (see MTEX documentation at <a href="https://mtex-toolbox.github.io/EBSDReferenceFrame.html">https://mtex-toolbox.github.io/EBSDReferenceFrame.html</a>).</li> <li>SHT_Indexed.h5 - A file in HDF5 format containing orientation data and other relevant information produced by indexing Patterns.up2 using EMSphInx.</li> <li>SHT_Indexed_IPFmap.png - An image of an inverse pole figure map colored with respect to the short transverse direction showing the data from SHT_Indexed.ang.</li> </ul> <p><em>Note:</em> The basic format of "up2" files is the following. The first 4 bytes provide the version number. The second 4 bytes are the width of the patterns. The third 4 bytes are the height of the patterns. The fourth 4 bytes are the starting position of the pattern image data.</p> <h3><strong>Acknowledgments</strong></h3> <p>The authors gratefully acknowledge support from the National Science Foundation under Grant DMR-2003312 and instrumentation under Grant DMR-9974476. The authors also gratefully acknowledge support from the U.S. Department of Energy, Office of High Energy Physics under Grant DE-SC0009960. This work was performed, in part, at the Center for Integrated Nanotechnologies, an Office of Science User Facility operated for the U.S. Department of Energy (DOE) Office of Science by Los Alamos National Laboratory (Contract 89233218CNA000001) and Sandia National Laboratories (Contract DE-NA-0003525). The authors thank Mr. Thomas Cayia (Arcelor Mittal) for providing the interstitial-free steel material used for this study.</p>
Data for "Grand canonically optimized grain boundary phases in hexagonal close-packed titanium"
<p>Supporting data of GB structures and scripts for the paper titled "Grand canonically optimized grain boundary phases in hexagonal close-packed titanium."</p>
Figure 8 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 8. AST levels in the serum of female rats orally exposed to Al2 O 3, TiO2, and CuO nanoparticles for 14 days. Details are given in Figure 1.
Figure 7 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 7. ALT levels in the serum of female rats orally exposed to Al2 O 3, TiO2, and CuO nanoparticles for 14 days. Details are given in Figure 1.given in Figure 1.
Figure 6 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 6. ALP levels in the serum of female rats orally exposed to Al2 O 3, TiO2, and CuO nanoparticles for 14 days. Details are given in Figure 1.
Figure 5 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 5. Total antioxidant levels in the serum of female rats orally exposed to Al2 O 3, TiO2, and CuO nanoparticles for 14 days. Details are given in Figure 1.
Figure 4 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 4. Total oxidant levels in the serum of female rats orally exposed to Al O, TiO, and CuO nanoparticles for 14 days. 2 3 2 Details are given in Figure 1.
Figure 3 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 3. The activity of Ca-ATPase in the erythrocytes of female rats orally exposed to Al O, TiO, and CuO nanoparticles for 14 2 3 2 days. Details are given in Figure 1.
Figure 1 in Effects of aluminum, copper, and titanium nanoparticles on some blood parameters in Wistar rats
Figure 1. The activity of Na,K-ATPase in the erythrocytes of female rats orally exposed to Al 2 O 3, TiO 2, and CuO nanoparticles for 14 days. Each point shows the mean of 6 rats and the standard errors. Statistical results and % alterations are given in the Table.
Characterization of a Nickel-Titanium (55.3 Ni wt%) shape memory alloy wire
<p>Characterization of a Nickel-Titanium (55.3 Ni wt%) shape memory alloy (SMA) wire supplied by Memry (USA).</p> <p>Diameter : 0.50mm</p> <p>Data given by the supplier : Nitinol wire, Hard black oxide, thermally straightened, As = 53°C</p> <p>Differential Scanning Calorimetry (DSC) test (as received) : a virgin sample of NiTi wire (7.9mg) is submitted to an initial heating up to 250°C, followed by 2 cooling-heating cycles (250°C/-90°C/+250°C). Test speed : 10°C per minute. The DSC apparatus is a DSC 250 (TA Instruments) with nitrogen gas flow. The test files for the software Trios are supplied as well as the .csv data.</p> <p>Differential Scanning Calorimetry (DSC) test (50 cycles) : the NiTi wire maintained in a water bath at a temperature of 70°C is submitted to 50 mechanical cycles of loading up to 90N and unloading down to 0.5N (superelastic cycles). A sample of this wire (8.1mg) is submitted to a DSC with an initial heating up to 250°C, followed by 2 cooling-heating cycles (250°C/-90°C/+250°C). Test speed : 10°C per minute.</p> <p>Isothermal traction at 25 degrees : a specific testing apparatus (illustration in the file Apparatus.jpg) has been set up. The SMA wire is tested in a box containing water, a water pumping/heating/cooling apparatus enables to control the water temperature in order to precisely control the SMA wire temperature. One side of the box is made of transparent PMMA in order to monitor the wire strains by Digital Image Correlation (DIC). The tested part of the wire finds itself in water, and its upper end is clamped in the cylinder jaws of a displacement controlled ADAMEL DY31 testing machine. The water temperature is monitored by two type K thermocouples at two different locations inside the water volume. The load in the wire is registered using a 100N load cell and the deformations of the wire were measured by DIC on images acquired by a Pike F421B camera (Allied Vision Technologies). A Matlab routine has been set up to acquire simultaneously the deformation images with the load values. A virgin wire of the same spool has been submitted to axial traction in 25°C water with a speed of 10^-4 s^-1. The first traction test presents a strain localization along the wire. We were not interested in this phenomenon and only present here the 2nd, 3rd and 4th test which show a homogeneous strain along the observed zone of the wire. The strain has been measured with the software GOM Correlate, by computing the mean value of the axial strain on a rectangular zone of several centimeters on the wire. The GOM Correlate files are supplied, as well as the .csv values. Between each test, the wire has been extracted from the testing chamber, placed in a furnace at 100°C during several minutes and then placed in a deep freezer at -20°C during several minutes in order to always test a martensitic wire.</p> <p>Thermal cycling at 25°C : With the same apparatus, a load of 25N has been applied on the wire at 85°C and then maintained constant with the help of a PID controller in the TestWorks software. The wire being maintained at this constant load, the water has been cooled down to 15°C and heated up to 85°C. The strain field could not be measured accurately, and for this reason the strain named Axial Strain 1, Axial Strain 2 and Axial Strain 3 are computed with virtual gauges in GOM Correlate (only between two points). The strain may be heterogeneous along the wire.</p>
3D Printing Titanium with a Conical Electron Beam
<p>We teamed up with xBeam 3D Metal Printing (https://xbeam3d.com/) to characterise Ti-6Al-4V (Ti64) parts 3D printed using wire and a conical electron beam. In this video, I analyse the β-grain structures of the xBeam test parts, built with 3 different deposition strategies, and present a post-build heat treatment trial to demonstrate that the xBeam process can replicate wrought titanium aerospace parts.</p> <p>Original research paper: https://doi.org/10.1016/j.mtla.2021.101202</p> <p>xBeam 3D Metal Printing: https://xbeam3d.com/</p> <p>Research credits: Alec. E Davis, J. R. Kennedy, D. Strong, D. Kovalchuk, S. Porter, P. B. Prangnell.</p> <p>Video credits: Produced, written, recorded, and performed by Alec E. Davis.</p>
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OpenNeuro
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