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7 results for “Surfalex”
Surfalex HF formability study - Workflow 5 - Simulate Marciniak-Kuczynski
<p>This group of MatFlow workflows is the fifth in a set of eight workflow groups developed during our formability study of the Surfalex HF (AA6016A) material. In these workflows, we used Abaqus to perform deformation of a grooved sheet using the finite element method, for different displacement boundary conditions and different groove angles (relative to the major loading direction). Thus, we performed a numerical Marciniak-Kuczynski analysis on the Surfalex material, which allowed us to predict the forming limit curve. We also include various sensitivity studies.</p> <p>This workflow can be downloaded and explored in a Jupyter notebook, as explained in the <a href="https://github.com/LightForm-group/surfalex_data_explorer">GitHub repository here</a>.</p>
Surfalex HF formability study - Workflow 6 - Generate random volume element
<p>This MatFlow workflow is the sixth in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this workflow, we generate a comparison volume element from a random texture and equiaxed microstructure. This RVE is used in a comparison of the simulated Lankford coefficients between the Surfalex model RVE and this "random" RVE.</p> <p>This workflow can be downloaded and explored in a Jupyter notebook, as explained in the <a href="https://github.com/LightForm-group/surfalex_data_explorer">GitHub repository here</a>.</p>
Surfalex HF formability study - Workflow 7 - Lankford coefficient
<p>This group of MatFlow workflows is the seventh in a set of eight workflow groups developed during our formability study of the Surfalex HF (AA6016A) material. In these workflows, we perform uniaxial tensile tests on two RVEs: the Surfalex RVE and an RVE with a random texture. We use this data to predict the Lankford coefficient in both cases.</p> <p>This workflow can be downloaded and explored in a Jupyter notebook, as explained in the <a href="https://github.com/LightForm-group/surfalex_data_explorer">GitHub repository here</a>.</p>
Surfalex HF formability study - Workflow 3 - Fit yield functions
<p>This MatFlow workflow is the third in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this workflow, we fitted three anisotropic yield functions to yield stress data obtained from a large set of multiaxial crystal plasticity simulations. The fitted yield functions were: the Hill1948 yield criterion, the Barlat Yld91 (6-parameter) yield function, and the Barlat Yld2004-18p (18-parameter) yield function. DAMASK was used to perform these simulations.</p> <p>This workflow can be downloaded and explored in a Jupyter notebook, as explained in the <a href="https://github.com/LightForm-group/surfalex_data_explorer">GitHub repository here</a>.</p>
Surfalex HF formability study - Workflow 1 - Generate volume element
<p>This MatFlow workflow is the first in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this first workflow, we generated a representative volume element (RVE) for the Surfalex HF material. To do this, we sampled 2000 orientations from a CTF file generated from EBSD measurements on the sheet RD-TD plane. The MTEX toolbox was used to sample the texture. The grain morphology was approximated using a Voronoi tessellation that was subsequently stretched by a factor of 1.5 in the RD direction, to mimic the slight grain elongation that was observed. The pre-processing tools in the DAMASK package were used to generated the RVE.</p> <p>This workflow can be downloaded and explored in a Jupyter notebook, as explained in the <a href="https://github.com/LightForm-group/surfalex_data_explorer">GitHub repository here</a>.</p>
Surfalex HF formability study - Workflow 2 - Fit single crystal parameters
<p>This MatFlow workflow is the second in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this workflow, we calibrated crystal plasticity (CP) parameters using experimental data. The hardening coefficient, the initial and maximum CRSS values, and the hardening exponent, as defined in the CP phenomenological power law adopted by DAMASK were optimised. Starting from trial guesses for these parameters, we optimised the parameters with respect to the experimental stress-strain curve of the Surfalex HF material, using a Levenberg-Marquardt procedure. At each iteration of the process, N+1 CP simulations were performed (for N fitting parameters). Five iterations were used in total.</p> <p>This workflow can be downloaded and explored in a Jupyter notebook, as explained in the <a href="https://github.com/LightForm-group/surfalex_data_explorer">GitHub repository here</a>.</p>
Surfalex HF formability study - Workflow 4 - Estimate hardening curves
<p>This MatFlow workflow is the fourth in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this workflow, we estimated the plastic stress-strain curves of the material during different loading conditions, using crystal plasticity simulations (via DAMASK). In turn, this table was used a "plastic table" Abaqus input for the fifth and final workflow.</p> <p>This workflow can be downloaded and explored in a Jupyter notebook, as explained in the <a href="https://github.com/LightForm-group/surfalex_data_explorer">GitHub repository here</a>.</p>
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