Multi-level modelling of mechanical anisotropy of commercial pure aluminium plate: crystal plasticity models, advanced yield functions and parameter identification

By Kai Zhang, B. Holmedal, O. Hopperstad, S. Dumoulin, J. Gawąd, Albert Van Bael, Paul Van Houtte. 2015

156 citations recorded by the source corpus.

Abstract The mechanical anisotropy of an AA1050 aluminium plate is studied by the use of five crystal plasticity models and two advanced yield functions. In-plane uniaxial tension properties of the plate were predicted by the full-constraint Taylor model, the advanced Lamel model (Van Houtte et al., 2005) and a modified version of this model (Manik and Holmedal, 2013), the viscoplastic self-consistent model and a crystal plasticity finite element method (CPFEM). Results are compared with data from tensile tests at every 15° from the rolling direction (RD) to the transverse direction (TD) in the plate. Furthermore, all the models, except CPFEM, were used to provide stress points in the five-dimensional deviatoric stress space at yielding for 201 plastic strain-rate directions. The Facet yield surface was calibrated using these 201 stress points and compared to in-plane yield loci and the planar anisotropy which were calculated by the crystal plasticity models. The anisotropic yield function Yld2004-18p (Barlat et al., 2005) was calibrated by three methods: using uniaxial tension data, using the 201 virtual yield points in stress space, and using a combination of experimental data and virtual yield points (i.e. a hybrid method). Optimal yield-surface exponents were found for each of the crystal plasticity models, based on calibration to calculated stress points at yielding for a random texture, and used in the latter two calibration methods. It is found that the last hybrid calibration method can capture the experimental results and at the same time ensure a good fit to the anisotropy in the full stress space predicted by the crystal plasticity models.

Subfields: Materials Chemistry, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/dd02caad7bdc18cc2b289e33144430ea16a2361f

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In Materials Chemistry

1. M. Diehl
2. Haiming Zhang
3. Franz Roters
4. Dierk Raabe
5. Philip Eisenlohr
6. T. Bieler
7. C. Tasan

In Mechanical Engineering

1. M. Diehl
2. Haiming Zhang
3. Franz Roters
4. Dierk Raabe
5. Philip Eisenlohr
6. T. Bieler

In Mechanics of Materials

1. M. Diehl
2. Haiming Zhang
3. Franz Roters
4. Dierk Raabe
5. Philip Eisenlohr
6. Matti Schneider
7. T. Bieler

Citations in the corpus

• A virtual laboratory using high resolution crystal plasticity simulations to determine the initial yield surface for sheet metal forming operations (2016, methodology): “…et al., 2001; Raabe and Roters, 2004; Dawson et al., 2005; Zhao et al., 2008; Kanjarla et al., 2010; Roters et al., 2010; Van Houtte et al., 2011; Zhang et al., 2015a) or a spectral method using fast FOURIER transformation (FFT) (Lebensohn et al., 2012; Kanjarla et al., 2012; Eisenlohr et al.,…”