Prediction of Texture Evolution in Rolled Sheet Metals by Using Homogenization Schemes

Katja Jöchen; Thomas Böhlke

doi:10.4028/www.scientific.net/KEM.504-506.649

Paper Titles

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Statistical Analysis of Forming Processes as a First Step in a Process-Chain Analysis: Novel PRO-CHAIN Components
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Cazacu and Barlat Criterion Identification Using the Cylindrical Cup Deep Drawing Test and the Coupled Artificial Neural Networks – Genetic Algorithm Method
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AZ31 Magnesium Alloy Parameters Identification through Inverse Analysis at 713 K
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Prediction of Texture Evolution in Rolled Sheet Metals by Using Homogenization Schemes
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Texture Based Finite Element Simulation of a Two-Step Can Forming Process
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Evaluation of Associated and Non-Associated Flow Metal Plasticity; Application for DC06 Deep Drawing Steel
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Unconditionally Convex Yield Functions for Sheet Metal Forming Based on Linear Stress Deviator Transformation
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Compartmentalized Model for the Mechanical Behavior of Titanium
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Prediction of Texture Evolution in Rolled Sheet Metals by Using Homogenization Schemes

Abstract:

This work deals with comparing the prediction of the development of rolling textures by using a homogenization method that is based on a homogeneous reference material. The proposed homogenization scheme, assuming constant stress polarisations in each phase, has in a natural way the potential to model the transition between Taylor- and Sachs-type textures. Therefore, the stiffness ef the hemogeneous reference material has to be varied between infinitely stiff and infinitely compliant. In the present study, texture evolution during rolling is simulated, showing that the application of different comparison materials in the homogenization scheme leads to the development of different main texture characteristics (Cube, Cu, Bs, Goss) in the orientation distribution function. For efficiently carrying out the rolling simulations using the proposed method, the measured texture information of the bulk aluminum sample is representatively reduced by using a partitioning technique of the orientation space.