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7 results for “Recrystallization”
Dataset for paper entitled, 'Confirmation of rapid-heating β recrystallization in wire-arc additively manufactured Ti-6Al-4V'.
<p>Dataset for paper entitled, 'Confirmation of rapid-heating β recrystallization in wire-arc additively manufactured Ti-6Al-4V'. doi: https://doi.org/10.1016/j.mtla.2020.100857</p>
Accompanying data for paper Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments
<p>Links</p> <ul> <li>Data DOI: <a href="https://doi.org/10.5281/zenodo.7729452">10.5281/zenodo.7729452</a></li> <li>Article <em>Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments</em>, DOI: <a href="https://doi.org/10.46298/jtcam.8913">10.46298/jtcam.8913</a></li> </ul> <p>Authors</p> <ul> <li>Xiang Kong, <a href="mailto:xiang.kong@minesparis.psl.eu">xiang.kong@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0002-0835-3826">0000-0002-0835-3826</a></li> <li>Jianqiang Chen, Pratt & Whitney Canada, 1000 Boul. Marie-Victorin, Longueuil, QC J4G 1A1 Canada</li> <li>Yazid Madi, <a href="mailto:yazid.madi@minesparis.psl.eu">yazid.madi@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0002-3530-8668">0000-0002-3530-8668</a></li> <li>Djamel Missoum-Benziane, <a href="mailto:djamel.missoum-benziane@minesparis.psl.eu">djamel.missoum-benziane@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0002-9877-8261">0000-0002-9877-8261</a></li> <li>Jacques Besson, <a href="mailto:jacques.besson@minesparis.psl.eu">jacques.besson@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0003-1975-2408">0000-0003-1975-2408</a></li> <li>Thilo F. Morgeneyer, <a href="mailto:thilo.morgeneyer@minesparis.psl.eu">thilo.morgeneyer@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0002-0278-9565">0000-0002-0278-9565</a></li> </ul> <p>Language</p> <ul> <li>English</li> </ul> <p>Licence</p> <ul> <li>CC BY 4</li> </ul> <p>Contributions</p> <ul> <li>Conception and design of study, revising the manuscript critically for important intellectual content: TFM, JB.</li> <li>Acquisition of data: XK, JC, YM.</li> <li>Analysis and/or interpretation of data: XK, DMB, TFM.</li> </ul> <p>Associated article</p> <p>Xiang Kong, Jianqiang Chen, Yazid Madi, Djamel Missoum-Benziane, Jacques Besson, Thilo Morgeneyer "Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments" Journal of Theoretical, Computational and Applied Mechanics (JTCAM), March 13, 2023, DOI: <a href="https://doi.org/10.46298/jtcam.8913">10.46298/jtcam.8913</a>, HAL: <a href="https://hal.science/hal-03497233v3">hal-03497233v3</a></p> <p>Keywords</p> <ul> <li>plastic anisotropy</li> <li>mechanical testing</li> <li>non-proportional loading</li> <li>static loading</li> <li>ductile fracture</li> </ul> <p>Data collection: period and details</p> <ul> <li>Sept 2018 - June 2022, PhD period of Xiang Kong</li> <li>Mechanical experiments mainly were performed at the Centre des Materiaux in Evry, France, except the laminographic experiment which was performed at the ESRF ID19b in Grenoble, France, while numerical simulations were performed in <a href="http://www.zset-software.com/">Z-set/Zebulon</a> on the cluster at the Centre des Materiaux.</li> </ul> <p>Recommended citation line for the data</p> <p>Xiang Kong, Jianqiang Chen, Yazid Madi, Djamel Missoum-Benziane, Jacques Besson, & Thilo F. Morgeneyer. (2023). Accompanying data for paper Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments [Data set]. <a href="https://doi.org/10.5281/zenodo.7729452">10.5281/zenodo.7729452</a></p> <p>Funding sources</p> <ul> <li>ANR (Lambda project: ANR17-CE08-0051 and Alicandte project)</li> </ul> <p>Data structure and information</p> <ul> <li>The output data were used to produce Figures 6-9, 16-19, 23 from the associated article.</li> <li>Folder/files structure: <ul> <li><code>Experiments_Simulations_results/</code> <ul> <li><code>2198T3R/</code> - folder containing results for material AA2198T3R</li> <li><code>T3R_EXP_*.csv</code> - experimental data files</li> <li><code>T3R_SIM_*.csv</code> - simulation output</li> <li><code>README.md</code></li> <li><code>2198T8R/</code> - folder containing results for material AA2198T8R</li> <li><code>T8R_EXP_*.csv</code> - experimental data files</li> <li><code>T8R_SIM_*.csv</code> - simulation output</li> <li><code>README.md</code></li> <li><code>plot_T3R.py</code> - python script plotting results for material AA2198T3R</li> <li><code>plot_T8R.py</code> - python script plotting results for material AA2198T8R</li> <li><code>README.md</code></li> </ul> </li> <li><code>Simulation_input_files/</code> <ul> <li><code>2198T3R.mat,2198T8R.mat,steel.mat</code> - material properties files for Z-set/Zébulon</li> <li><code>postprocess.inp</code> - postprocessing input file for Z-set/Zébulon</li> <li><code>*.inp</code> - FE solver input files for Z-set/Zébulon</li> <li><code>post.py</code> - Python script to plot processed data</li> <li><code>README.md</code></li> <li><code>mesh_files/</code> <ul> <li><code>scale.inp</code> - Z-set/Zébulon mesh modifier</li> <li><code>ST_*.geof</code> - mesh files in Z-set/Zébulon format</li> <li><code>README.md</code></li> </ul> </li> </ul> </li> <li><code>.solidipes/</code> - curation tool metadata (not a part of the dataset)</li> </ul> </li> </ul>
Full-field numerical simulations of temperate ice viscoplastic deformation and dynamic recrystallization [Data set]
<p>This data set corresponds to the scientific article Llorens, M.-G., Griera, A., Bons, P.D., Gomez-Rivas, E., Weikusat, I., Prior, D., Kerch, J. and Lebensohn, R.A. Seismic anisotropy of temperate ice in polar ice sheets. Journal of Geophysical Research: Earth Surface.</p> <p>This data set contains (i) the output files with the crystal orientation and phase data of each simulation presented in the article (run using the open-source software platform ELLE; Bons et al., 2008; Piazolo et al., 2019), and (ii) a code to plot the crystallographic orientation density function (ODF) using the open-source code MTEX (Mainprice et al., 2015). For the visualization of seismic wave velocities the information contained in these output files can be loaded (in radians) to the software package AEH-EBSD Analysis Toolbox (Naus-Thijseen, 2011; Vel et al., 2016). The output files are provided for time steps 50 (shear strain of 1), 100 (shear strain of 2), 200 (shear strain of 4), 300 (shear strain of 6) and 400 (shear strain of 8).</p> <p>Each file has eight columns and multiple rows. Each row stores the output data for an unode of the model, and the model has 256x256 unodes. The first three columns correspond to the three Euler angles (<em>α</em>, <em>β</em>, <em>γ</em>) in degrees, the fourth and fifth column are the <em>x</em> and <em>y</em> coordinates of each unode, the sixth and seventh columns contain attributes not used in these simulations and column eight shows the phase number corresponding to each unode (1 for solid ice and 2 for water).</p> <p>Three simulations are presented and analyzed in this article, and thus their results stored in this data set:</p> <p>Simulation 1: purely solid ice (melt fraction <em>ϕ</em>=0)</p> <p>Simulation 2: ice including 5% water (melt fraction <em>ϕ</em>=5)</p> <p>Simulation 3: ice including 15% water (melt fraction <em>ϕ</em>=15)</p>
Experimental–Computational Analysis of Nucleation Sites for Primary Static Recrystallization
<p>This repository contains supplementary material to our paper. Specifically, the Matlab, Python,a and Shell scripts and cellular automaton source code we used to run and post-process the simulations as well as the simulation results:</p> <p><strong>MTEXEBSDMappingStructureInitialization.zip</strong><br> Specifies, using MTex v5.0.3, how we converted the measured SEM/EBSD mapping to a synthetic 2d microstructure.</p> <p><strong>SCORESourceCode.zip</strong><br> Specifies the source code of SCORE. Version 1.2.1. Demands a local HDF5 installation. MPI/OpenMP parallelized.<br> Inspect www.github.com/mkuehbach/SCORE for further details on how to compile and background to the model<br> an implementation.</p> <p><strong>ExecuteSimulations.zip</strong><br> Specifies shell scripts and UDS input files to execute the simulations. Details via these UDS files also all parameter<br> settings we used to reproduce the runs.</p> <p><strong>ComparisonXaXv.tar.gz</strong><br> Compares in summarized form, and extracted from the RXAreaFractionDepthProfile folder files, the area vs<br> volume fraction at specified time snapshots for the z= [0.0, 0.5, 1.0] RDTD section.<br> <br> <strong>Inherited_GrainSizeMicrostructure.zip</strong><br> ANG-like serial sectioning snapshot results and IPF visualization of microstructure evolution for those<br> simulation cases in which the nuclei inherited the orientation from their site.</p> <p><strong>Random_GrainSizeMicrostructure.zip</strong><br> ANG-like serial sectioning snapshot results and IPF visualization of microstructure evolution for those<br> simulation cases in which the nuclei had random orientations form the SO3.</p> <p><strong>RXAreaFractionDepthProfile.zip</strong><br> Specifies the evolution of the area fraction recrystallized with grains in cross-sectional area >=13px<br> for every RDTD layer.</p> <p>The corresponding parameterization is detailed in the *.uds input file which specifies all constitutive parameter<br> and log settings of the automaton. The simulation is executed by compiling the program and linking to<br> HDF5. The OMP_NUM_THREADS environment variable should be set to not more than 10.<br> The SCORE is executed as follows:<br> mpirun -np 1 ./score <simid> <udsfile> <KAM Ang EBSD file> 1>STDOUT.txt 2>STDERR.txt<br> <br> <strong>Profiling.zip</strong><br> Details the execution log of the automaton ie runtime individual composition of nuclei volume transformation<br> progression, interfacial area evolution, etc.</p> <p><strong>SingleGrainData.zip</strong><br> Details the volume consumption / volume gain kinetics of every single deformed / recrystallized grain.</p> <p><strong>TemperatureTimeProfile.zip</strong><br> Details the time/temperature and step profile of the numerical integration.<br> This allows to map integration time steps to simulated microstructural states.</p> <p><strong>ThreadProfilingGrowth.zip</strong><br> Details the evolution of the recrystallized volume versus time and number of active cells per thread sub-domain.</p> <p><strong>MartinPostprocessingScripts.zip</strong><br> Is a collection of Python and MTex scripts to compile the area size distribution and compute ODFs.</p>
Transcriptomics data and script for publication "Unexpected intracellular biodegradation and recrystallization of gold nanoparticles"
<p>Transcriptomics data from DNA arrays sequencing</p> <p>Folder name : Raw_data_DNA_arrays.zip</p> <p>Number of files : 18 .cel files</p> <p> </p> <p>R script for DNA array analysis</p> <p>File name : Clean_Script.R</p>
Ice recrystallization inhibitors enable efficient cryopreservation of induced pluripotent stem cells: A functional and transcriptomic analysis
<p><span>The successful use of human induced pluripotent stem cells (iPSCs) for research or clinical applications requires the development of robust, efficient, and reproducible cryopreservation protocols. After cryopreservation, the survival rate of iPSCs is suboptimal and cell line dependent. We assessed the use of ice recrystallization inhibitors (IRIs) for cryopreservation of human iPSCs<span>. A toxicity screening study was performed to assess specific small-molecule carbohydrate-based IRI and concentrations for further evaluation.</span> Then, a cryopreservation study compared the cryoprotective efficiency of 15 mM IRIs in 5 % or 10 % DMSO-containing solutions and with CryoStor® CS10. Three iPSC lines were cryopreserved as single-cell suspensions in the cryopreservation solutions and post-thaw characteristics, including pluripotency and differential gene expression, were assessed. </span><span>W</span><span>e demonstrate the fitness-for-purpose of 15 mM IRI in 5 % DMSO as an efficient cryoprotective solution for iPSCs in terms of post-thaw recovery, viability, pluripotency, and transcriptomic changes. Given that this dataset is the first report where mRNA sequencing has been used to identify expression changes resulting from iPSCs cryopreservation, it has the potential to be used for molecular mechanism analysis relating to cryopreservation. IRIs can reduce DMSO concentrations, thereby improving the utility, effectiveness, and efficiency of cryopreservation. </span></p>
Supplementary Dataset for "Fluid-mediated recrystallization induces clumped isotope resetting during aragonite dolomitization"
<p>This supplementary dataset contains raw XRD and isotopic data used to generate figure in the article "Fluid-mediated recrystallization induces clumped isotope resetting during aragonite dolomitization" by Guo et al. The XRD raw data files with xrdml suffix can be processed by the MDI Jade 6 software.</p>
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OpenNeuro
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