Prediction of plastic anisotropy of textured polycrystalline sheets based on a new single crystal model
Nitin Chandola, Oana Cazacu, Benoit Revil-Baudard

TL;DR
This paper introduces a new single crystal model to predict how texture influences plastic anisotropy in polycrystalline metallic sheets, combining analytical and numerical methods for accurate predictions.
Contribution
The paper develops a novel single crystal yield criterion and demonstrates its effectiveness in predicting polycrystalline anisotropy analytically and numerically.
Findings
Predictions closely match for textures with up to 25-degree misorientation.
Lankford coefficients remain finite across all loading orientations.
Analytical estimates capture the trends in anisotropy effectively.
Abstract
In this paper, we predict the effect of texture on the anisotropy in plastic properties of polycrystalline metallic sheets. The constituent grain behavior is modelled using the new single crystal yield criterion developed by Cazacu, Revil, and Chandola (2017). For ideal texture components, the yield stress and plastic strain ratios can be obtained analytically. For the case of strongly textured sheets containing a spread about the ideal texture components, the polycrystalline response is obtained numerically on the basis of the same single-crystal criterion. It is shown that for textures with misorientation scatter width up to 25 degrees, the numerical predictions are very close to those obtained analytically for an ideal texture. Furthermore, irrespective of the number of grains in the sample, Lankford coefficients have finite values for all loading orientations. Illustrative examples…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
