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12 results for “Crystal Plasticity”
Quantification of 3D spatial correlations between state variables and distances to the grain boundary network in full-field crystal plasticity spectral method simulations
<p>This repository provides supplementary material to our paper: <a href="https://doi.org/10.1088/1361-651X/ab7f8c">https://doi.org/10.1088/1361-651X/ab7f8c</a></p> <p><strong>DAMASKPhenoPowerLaw75x75x75TestCase.zip</strong><br> An exemplary DAMASK simulation and corresponding output, generated from DAMASK v2.0.3. We used this to debug more productively the implementation of the post-processing tools. Furthermore we employed this simulation in the paper to identify why the graph clustering grain reconstruction method in many cases fuses neighboring grains in similar orientation.</p> <p><strong>DAMASKPhenoPowerLaw256x256x256ProductionRun.zip</strong><br> All input to run the DAMASK simulation that we discussed in the paper.</p> <p><strong>DAMASKPDTSettings256x256x256ProductionRun.zip</strong><br> All damaskpdt settings files to execute the individual post-processing studies of the paper.</p> <p><strong>DAMASKPDTSlurmSubmissionScripts256x256x256ProductionRun.zip</strong><br> All SLURM scripts we used to execute the compilation of damaskpdt and post-processing on TALOS.</p> <p><strong>DAMASKPDTSlurmLogs256x256x256ProductionRun.zip</strong><br> All logs from the SLURM job management system from the individual post-processing runs.</p> <p><strong>DAMASKPDTSourceCode_USedForAnalyticalDistanceToVoronoiCellFacets.zip</strong><br> The source code to the tool we developed during the revision process of our paper to verify the methods<br> via computing analytically exact distances to the facets of the Poisson-Voronoi tessellation from the<br> DAMASK microstructure instantiation.<br> <br> <strong>DAMASKPDTSourceCode_Production.zip</strong><br> The source code we used to post-process all results from the DAMASK simulations.</p> <p><strong>GitHub repository:</strong><br> https://github.com/mkuehbach/damaskpdt</p>
Stress-Strain Analysis of Polycrystalline Copper with Goss Texture Using Crystal Plasticity FEM
<pre>Stress-strain analysis of single-phase polycrystalline copper with a Goss texture using a cubic representative volume element (RVE) and periodic boundary conditions, performed with Abaqus through the crystal plasticity finite element method.</pre>
Data and scripts from "Unsupervised learning for structure detection in plastically deformed crystals"
<p>This documents contains the scripts and dataset used for the paper "Unsupervised learning for structure detection in plastically deformed crystals".</p> <p> </p> <p>More precisely it contains 4 folders :</p> <p><br> DumpForFigures : subfolder containing the atomic positions in .dump format (see lammps documentation) used for the article figures.</p> <p>DumpForTraining : subfolder containing the atomic position in .dump format (see lammps documentation) used for training the autoencoder.</p> <p>ScriptsToDetectStructuresFromDump : subfolder containing the script sused to detect the substructures of the system by combining autoencoder and clustering methods. This folder contains a readme with the details of the contents.</p> <p>ScriptToGenerateDump : subfolder containing the scripts used to generate the atomic data with molecular dynamics. These data are then used to train the autoencoder. This folder contains a readme with the details of the contents.</p> <p>REQUIREMENTS :</p> <p> </p> <p>Lammps</p> <p>Python3 with packages :</p> <p>-numpy</p> <p>-matplotlib</p> <p>-pyscal</p> <p>-sci-kit learn</p> <p>-pytorch</p> <p>-glob</p> <p> </p> <p> </p> <p> </p>
Raw simulation results for Second-order homogenisation of crystal plasticity and martensitic transformation
<p>This dataset contains the raw simulation results used in the article entitled "Second-order homogenisation of crystal plasticity and martensitic transformation" (under review - 2023/05/15), by Igor A. Rodrigues Lopes, Miguel Vieira de Carvalho, João A. Marques da Silva, Rui P. Cardoso Coelho and Francisco M. Andrade Pires (INEGI and Faculty of Engineering of the University of Porto, Portugal).<br> These numerical results have been generated with the in-house finite element code LINKS.</p> <p>The dataset contains the datafiles, with information about the finite element mesh, plain text files with readable results, and vtu files that allow visualising the results in Paraview.</p>
Determination of ti-6242 α and β slip properties using micro-pillar test and computational crystal plasticity
<p>Data for "Determination of ti-6242 α and β slip properties using micro-pillar test and computational crystal plasticity"<br /> http://dx.doi.org/10.1016/j.jmps.2016.06.007</p> <p><br /> Zhen Zhang, Tea-Sung Jun, T. Benjamin Britton and Fionn P.E. Dunne<br /> Department of Materials, Imperial College London, Prince consort Road, London, SW7 2AZ, UK</p> <p>--</p> <p>This experimental data folder contains 3 subfolders:<br /> (1) Micropillar compression videos<br /> (2) Simulation data</p> <p>(3) Data for Figure 4<br /> (4) Data for Figure 6</p> <p>--</p> <p>The simulation data in (2) is ABAQUS input deck containing an example finite element representation of an alpha-beta titanium micropillar subjected to compression loading. This model was calibrated against the experimental data using the first 60s of the stress relaxation period.</p> <p>--</p> <p>If readers need further information, please feel free to contact: zhen.zhang@imperial.ac.uk</p>
Surface Strain Data and Principal Component Analysis from Crystal Plasticity Simulations
<p>This is a dataset of surface strain data along y-z surfaces during tensile loading along the x direction of polycrystalline Al samples. Surface strain data are recorded during periodic intervals. Principal component analysis is implemented on the loading sequences.</p>
Experimental constraints on isotopic resetting: synkinematic 40Ar loss from crystal-plastically deformed muscovite
<p>Supporting analytical Ar/Ar data and mineral compositional data for the paper:</p> <p>"Experimental constraints on isotopic resetting: synkinematic 40Ar loss from crystal-plastically deformed muscovite"</p> <p>by:</p> <p>Alexane Legeay, Stéphane Scaillet, Jacques Précigout, Holger Stünitz, Angelo Mottolese, and Florian Duval</p> <p>submitted to to Geochimica et Cosmochimica Acta.</p>
High strain rate micro-compression for crystal plasticity constitutive law parameters identification
<p>Experimental data and numerical model attached to the article "High strain rate micro-compression for crystal plasticity constitutive law parameters identification" (DOI to be generated soon)</p>
Crack nucleation using combined crystal plasticity modelling, HR-DIC and HR-EBSD in a superalloy containing non-metallic inclusions under fatigue
<p>The uploaded data are required to reproduce the experimental results in the paper. </p> <p>To replicate figure 4, both GID.mat and thermal_E11.mat should be loaded into matlab. </p> <p>To replicate figure 6, strain_11.mat should be uploaded. Then fDIC_GB.m should be executed. </p> <p>If the reader has further questions, please contact Tiantian Zhang at tiantian.zhang08@imperial.ac.uk or tzhang6@wpi.edu</p>
Brittle and Crystal-Plastic Defect Dynamics of Calcite Single Crystals
<p>Dataset for paper containing zip files with images, video files, mechanical and acoustic data for each experiment.</p>
Unambiguous Identification of Crystal Plasticity Parameters from Spherical Indentation
<p>The main results are in folders Population1 and Population2 (that correspondes to initial Popolation 1 and 2, respectively). Each of them contains 3 folders with the results for the investigated cases). The other two folders contain the sensitivity analysis and analysis of the influence of friction. In order to run the simulations one has to first have Wolfram Mathematica with the AceFEM package installed. Running each optimization is possible using the EA.nb file. Running the sensitivity analysis is possible using the Sensitivity.nb file. In order to run the friction analysis one has to run virgin.nb file for each firction coefficient value. Analysis of the results is possible using the Podsumowanie.nb file in each folder. There are several codes used to conduct the simulations. In case of using the contact code one should cite Kucharski, S., S. Stupkiewicz, and H. Petryk. "Surface pile-up patterns in indentation testing of Cu single crystals." Experimental Mechanics 54 (2014): 957-969. In case of using the hanging nodes formulation one should cite: Frydrych, Karol. "Crystal plasticity finite element simulations of the indentation test." Comput. Methods Mater. Sci 19 (2019): 41-49. In case of using the crystal plasticity code one should cite: Kucharski, S., S. Stupkiewicz, and H. Petryk. "Surface pile-up patterns in indentation testing of Cu single crystals." Experimental Mechanics 54 (2014): 957-969. AND Lewandowski, M. J., and S. Stupkiewicz. "Size effects in wedge indentation predicted by a gradient-enhanced crystal-plasticity model." International Journal of Plasticity 109 (2018): 54-78. AND Frydrych, Karol, and Katarzyna Kowalczyk-Gajewska. "Grain refinement in the equal channel angular pressing process: simulations using the crystal plasticity finite element method." Modelling and Simulation in Materials Science and Engineering 26.6 (2018): 065015.</p>
Indomethacin Polymorph δ Revealed to be Two Plastically Bendable Crystal Forms by 3D Electron Diffraction: Correcting a 47-Year-Old Misunderstanding
<p>Raw electron diffraction data of indomethacin polymorphs <span class="math-tex">\(δ\)</span> and <span class="math-tex">\(θ\)</span> obtained via solution and melt crystallization, respectively. Single crystals were grown using microdroplet melt crystallization and crushed to give microcrystals suitable for electron diffraction. Data were collected using a JEOL JEM-2100 LaB6 TEM operated at 200 kV and equipped with a Timepix hybrid pixel detector.</p> <p> </p>
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