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360 results for “steel”
High temperature properties incuding creep, creep crack growth rate and thermal fatigue linked with chemical composition of alloys derived from 1.4848 refractory stainless steels
<p>The following set of data results from cast alloys modifying chemical composition taking as reference 1.4848 alloy and getting sound samples that have been tested to calculate creep, creep crack growth rate and thermal fatigue data. </p>
Process data for development of a digital material shadow for the press hardening route of medium manganese steel
<p>Press-hardened ultra-high strength steel parts are widely used in the automotive sector for their lightweight and safety advantages. Medium-Manganese Steels (MMnS) are being explored as an alternative to boron-manganese steels due to their high strength and ductility after quenching, achieved at lower annealing temperatures thus reducing energy usage and carbon emissions. However, industrial adoption of MMnS is hindered by challenging processing requirements, e.g. in cold-rolling and press hardening. To expedite and improve the process development, data-driven decisions based on process parameters hold promise. Establishing a link between process data and the final produced part necessitates the development of a framework for a Digital Material Shadow (DMS). This paper investigates the development of a DMS framework for the cold rolling and press hardening process chain. In conjunction with conventional data acquisition methods employed for cold rolling, novel data acquisition techniques are introduced specifically tailored for press hardening, ensuring the comprehensive availability of relevant data. Moreover, a data pipeline is implemented to enable automatic processing, visualization, and analysis of process data. To facilitate seamless data linkage across processes in the DMS, an ID-system is introduced. Finally, the developed framework’s validity is demonstrated by creating a DMS for press-hardened MMnS parts, showcasing its potential for practical applications.</p>
Fig. 1. Anonyx gurjanovai Steele, 1986 in Two new record of the genus Anonyx (Crustacea: Amphipoda: Uristidae) from Korean waters
Fig. 1. Anonyx gurjanovai Steele, 1986, adult male, 8.50 mm, habitus. Scale bar = 1.0 mm.
Transverse and torsional vibration on bowed cello G steel string
<p>Transverse and torsional vibrations from a cello G string made of steel, product name "Pirastro Chromcor medium".</p> <p>Transverse signal taken electrodynamically below bow contact point,while string is mounted on a monochord and tuned to 98 Hz.</p> <p>Torsional signal taken electrodynamically at either 10 mm from the bow contact point towards the bridge side, or close string termination (all file names containing *_torsion zum steg_*.mat) or at 10 mm from the bow contact point towards the nut side, or more distant string termination (all file names containing *_torsion zum sattel_*.mat). The number in the filename indicates the distance of the bow contact point from the bridge in cm, while the string has a free length of 68 cm, e.g. the file *_11_*.mat contains data for bowstrokes at 11 cm distance from the bridge. Upstrokes/downstrokes are indicated by *_u.mat and *_d.mat in the file name. Dates of recording indicated in the file name by session_yyyymmdd_*.mat.</p> <p>Manual bowing by experienced player, while each individual stroke covers a wide range for bow velocity and bow pressure, however, always exciting regular Helmholtz motion on the string. Only the file session_*_doppelzahn represents data for a non-Helmholtz case. Statistical analyses cover the wide dynamic range, and structural analyses use smaller windows of comparable levels, the position of which are indicated in the files startpunkte_*.m.</p> <p>File formats are MATLAB files. For all *.mat files: column 1 of table Y is the transverse time signal (0.1 per mm), column 2 the torsional time signal (0.004 per 1°). Sampling frequency is 48 kHz. </p> <p> </p>
The Measurement and Prediction of Phase Transformation Kinetics in a Nuclear Steel During Weld-Like Thermal Cycles: supporting data
<p>The Excel files contain the raw dilatometry data for the FGHAZ and CGHAZ experiments, with the spreadsheet used to calculate the modified offset also included. </p> <p>The .tif files are the raw 2D images acquired during synchrotron X-ray diffraction experiments. The sample-detector distance was approximately 1400 mm. Please see the publication for further details (or contact the corresponding author). </p>
Steel, fcc precipitates in a bcc grain, EBSD
<p>The EBSD map is taken from a steel sample, from a region within a single bcc grain containing fcc precipitates after heat treatment. The sample is provided from Wiesław Świątnicki (Warsaw University of Technology). </p> <p> </p>
static stress-strain behaviour of hardened and tempered steel 52100 (100Cr6)
<p>this file contains the recorded data (time, nominal stress, strain, actuator position) of a tensile test as long as the used strain gauge worked</p>
Risks of Transition Pathways of the Steel and Electricity Sectors – The Case of Austria
<p>This dataset contains the underlying data for the following publication: <strong>Risks of Transition Pathways of the Steel and Electricity Sectors – The Case of Austria], [upcoming in TRANSrisk Special Issue in Environmental Innovation and Societal Transitions (EIST)], [https://www.journals.elsevier.com/environmental-innovation-and-societal-transitions/].</strong></p>
In situ oxidation of nitrided and non nitrided ferritic stainless steels performed in environmental SEM.
<p>The seven videos show the growth of oxide layer on ferritic stainless steel substrates that are nitrided and non nitrided.</p> <p>These videos are supplementary materials to the article "CORROSION BEHAVIOUR OF NITRIDED FERRITIC STAINLESS STEELS FOR USE IN SOLID OXIDE FUEL CELL DEVICES"</p>
Heat Treatment Optimisation of Electron Beam Welded Reactor Pressure Vessel Steel
<p>Supporting data for journal publication: "Heat Treatment Optimisation of Electron Beam Welded Reactor Pressure Vessel Steel". All the paper authors contributed to this data. </p>
Residual stress in steel benchmark determined by synchrotron X-ray and neutron diffraction
<p>The data presented is the residual stress, determined by synchrotron X-ray diffraction (SXRD) at DESY operated by Hereo (P07 and P61A) and neutron diffraction (ND) at ILL(SALSA). The data is for two benchmark samples having the same geometry (U shape) that can be measured by diffraction techniques and adapted to other material systems to validate RS measurements. One of them was elastically loaded while the other had stresses generated by plastic deformation, while having the same geometry. </p> <p>The U-flexure sample flexure-compression(FC), flexure-tension(FT_ and flexure-neutral(FN) were electrical discharge machine from a rolled plate. The U-bend(B) sample was obtained by three-point bending a cuboidal blank. The thicknes of the machine part is close to 10 mm and runs parallel to the z-direction. The measurement line runs from the centre of the top surface near the bend (defined at the origin) down into the bend (positive z-direction). The FN samples acted as stress-free reference for the U-flexures and a pin extracted from the bend was used for the U-bend. For the U-flexures, a finite element analysis (FEA) model was developed to account for the slight variations in loading conditions observed in the samples used for ND and SXRD. The results of the FEA model is also presented for comparison.</p> <p>The gauge volume sizes and shapes were dependent on the technique and research facility. The gauge volumes were: a) P07 – 0.2 x 0.2 x ~2.0 mm<sup>3 </sup>(b) P61A- 0.15 x 0.15 x ~3.4 µm<sup>3 </sup>(c) SALSA- 0.6 x 0.6 x 2 mm<sup>3</sup>. </p>
EBSD datasets for low-alloy steel weld metals - Arc, Laser, and Laser-hybrid welding
<p>Example open access datasets for low-alloy structural steel weld metals, previously published in ref. [1]. The datasets are also related to the International Institute of Welding Commission C-IX, document nr. IX-L-1239-2021.</p> <p>Files included:</p> <ul> <li>The nomenclature of the files corresponds to what is used in ref. [1].</li> <li>CV_3.crc/cpr: Conventional arc weld, 3/5 mm t-joint</li> <li>HY_1.crc/cpr: Laser-hybrid weld, 3mm butt-joint</li> <li>LA_1.crc/cpr: Laser weld, 3mm butt-joint</li> </ul> <p>The methodology for analysing grain size and dislocation sub-structures is found at: <a href="../record/5053377">https://zenodo.org/record/5053377</a> and <a href="https://doi.org/10.5281/zenodo.4430623">https://doi.org/10.5281/zenodo.4430623</a></p> <p>For further information visit: Aalto University Wiki - <a href="https://wiki.aalto.fi/display/GSMUM">https://wiki.aalto.fi/display/GSMUM</a> and <a href="https://wiki.aalto.fi/display/EMDIDS">https://wiki.aalto.fi/display/EMDIDS</a></p> <p><strong>Refererences:</strong></p> <ul> <li>[1] Materials Science and Engineering: A, 2014; 592: 28-39, <a href="http://dx.doi.org/10.1016/j.msea.2013.10.094">http://dx.doi.org/10.1016/j.msea.2013.10.094</a></li> <li>[2] Welding in the World. 2016; 60: 673-678. <a href="http://dx.doi.org/10.1007/s40194-016-0318-8">http://dx.doi.org/10.1007/s40194-016-0318-8</a></li> <li>[3] Ultramicroscopy 2021, Volume 222, <a href="https://doi.org/10.1016/j.ultramic.2021.113203">https://doi.org/10.1016/j.ultramic.2021.113203</a></li> </ul>
Study on corrosion behavior and corrosion scale characteristics of P110S steel in CO2-H2S saturated high-salt aqueous with pH buffer
<p>The corrosion behavior of P110S steel in CO<sub>2</sub>-H<sub>2</sub>S saturated high-salt aqueous with pH buffer was investigated using an autoclave. SEM, EDS, XRD, and Pourbaix diagrams were used to analyze the corrosion scale characteristics. P110S steel experienced severe localized corrosion in high-salt aqueous containing saturated with CO<sub>2</sub>-H<sub>2</sub>S despite the addition of pH buffer. The main component of the corrosion scale was mackinawite and FeCO<sub>3</sub>. The corrosion scale with mackinawite as the main component was dense and had a good protective effect. The corrosion was very light in the area covered by this corrosion scale. However, this corrosion scale was poorly bonded to the matrix and is prone to partial cracking and peeling, which was the cause of severe localized corrosion of P110S steel.</p>
Figure 4 in A revision of the genus Rhinolaemus Steel (Coleoptera: Laemophloeidae)
Figure 4. Rhinolaemus tuberculatus (Grouvelle), male, dorsal habitus.
Figure 3. Rhinolaemus niueensis Thomas, n in A revision of the genus Rhinolaemus Steel (Coleoptera: Laemophloeidae)
Figure 3. Rhinolaemus niueensis Thomas, n. sp., female, dorsal habitus.
Characterization of photodiodes for detection of variations in part-to-part gap and weld penetration depth during remote laser welding of copper-to-steel battery tab connectors
<p>In this folder, .csv files and Matlab scripts for processing data from experimental campaign that has been reported in the following paper:<br> Chianese, G., Franciosa, P., Nolte, J., Ceglarek, D., and Patalano, S., “Characterization of photodiodes for detection of variations in part-to-part gap and weld penetration depth during remote laser welding of copper-to-steel battery tab connectors.” Journal of Manufacturing Science and Engineering. In-press.</p> <p>As the experimental campaign is made up of two phases, files are divided in two folders:<br> (i) Phase I - Weld penetration depth; and,<br> (ii) Phase II - Part-to-part gap.</p> <p>In each of these two folders, there are:<br> (i) a Matlab live script that, once the code is run, allows the user to select the signals (please, select all of them);<br> (ii) functions to run the code;<br> (iii) Matlab variable files;<br> (iii) a folder with .csv files that contain signals recorded during experimental campaign;<br> (iv) an Excel file reporting experimental setup and process parameters;<br> (v) a PDF file with the live script and results of the data processing for the readers that cannot run Matlab codes.</p>
galvanized-636 – A galvanized steel re-identification dataset
<p>The dataset "galvanized-636" contains images of 636 sheets of galvanized steel, of which four pictures each were taken per side from different, labeled perspectives, amounting to a total of 5,088 images. This dataset can be used for the purpose of re-identification.<strong> Therefore, if you use this dataset for research, please cite us using the Zenodo DOI.</strong></p> <p>The recording specifications are the following:</p> <ul> <li>Camera: Canon EOS 6D (with ambient lighting: ISO 1600; white balance; 1/50 shutter; F22 aperture. With photography lighting: ISO 1600; 1/30 shutter; F22 aperture)</li> <li>Naming convention: first integer = number of metal sheet (ms); f = front; b = back; AL = ambient lighting; PL = photography lighting; 75/90 = recording angle</li> <li>Images per sheet: Combination of AL/PL + 75°/90° --> 4 images per sheet</li> </ul> <p>The predecessors of this dataset are <a href="https://zenodo.org/record/6353714">"pallet- block-502"</a> and <a href="https://zenodo.org/record/6358607">"pallet-block-32965"</a>. If you have any questions concerning these datasets, feel free to contact the corresponding author, <a href="https://www.linkedin.com/in/jeromerutinowski/">Jérôme Rutinowski</a>.</p> <p>This work is part of the project "Silicon Economy Logistics Ecosystem" which is funded by the German Federal Ministry of Transport and Digital Infrastructure.</p>
Mechanical behavior of C45 steel at high temperatures and high strain rates—experimental data set and numerical approach
<p>In this publication we provide experimental data of dynamic compression tests of four microstructural variants of the C45 steel alloy performed at high temperatures and high strain rates. The presented data evidences the presence of Dynamic Strain Aging (DSA) in the material. Moreover, we provided the MATLAB codes of a calibration approach to estimate the material parameters of a plasticity model that accounts for DSA.</p> <p>The file "Mechanical behavior of C45" contains:</p> <p>1) Folder EXP_DATA contains experimental data of dynamic compression tests of the C45 steel variants in .mat format. The data is organized in cell arrays, and every cell in the arrays contains the data of one experiment. The data of each experiment is arranged as four columns arrays, as: column 1: Plastic strain, column 2: Flow stress, column 3: absolute temperature, column 4: strain rate</p> <p>2) Matlab code named CALIBRATION.m which executes a calibration approach of a modified Johnson-Cook that accounts for DSA. The form of the model is the following:</p> <p><span class="math-tex">\(\sigma(\varepsilon ,T,\dot{\varepsilon}) = (A+B\varepsilon^n)\left(1+Cln\left(\frac{\dot{\varepsilon}}{\dot{\varepsilon}^{ref}}\right)\right)\left( 1-\left(\frac{T-T^{ref}}{T^{melt}-T^{ref}}\right)^m\right) +\sigma^{dsa}(\varepsilon ,T,\dot{\varepsilon}) \)</span></p> <p>with,</p> <p><span class="math-tex">\(σ^{dsa} (ε,T,\dotε )=\frac{B_1}{ν} \left(\frac{ε^β}{ ε ̇T} exp(-\frac{Q_m}{KT}) \right)^{\frac{2}{3}}\)</span>, <span class="math-tex">\(\frac{B_1}{\nu} = \frac{\psi \dot{\varepsilon}}{exp(\eta \frac{T}{\dot{\varepsilon}^\alpha})} \)</span></p> <p> </p> <p>The code CALIBRATION contains a data presentation section that can be used to generate plots to compare calibrated models with the experimental data. Further instructions are commented in the code CALIBRATION.m.</p>
Experimental EBSD data for 035C and 07C lean steel for habit plane determination
<p>Experimental data for demonstrating the habit plane determination algorithms described in:</p> <p>https://arxiv.org/abs/2303.07750</p> <p>The linked resource contains a full description of how the data was obtained and processed, as well as the interpretation of the results.</p>
Primary collected data for modelling the additive MAR/R process by means of the PBF-LB process based on the example of tool steel 1.2709 powder
<p>For the evaluation of a MAR/R process, not only process-, material- and demonstrator-specific correlations and data must be combined. In addition to secondary data (e.g. databases, publications, etc.), primary data (e.g. process times, volume flows, etc.) must also be collected for the specific application.</p> <p>The attached table shows the primary data to be collected for the cradle-to-gate process depending on the process phases and steps. This data is used as support for ecological as well as economic process and component evaluations.</p>
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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.