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On the determination of single‐crystal plasticity parameters by diffraction: optimization of a polycrystalline plasticity model using a genetic algorithm
Author(s) -
Skippon T.,
Mareau C.,
Daymond M. R.
Publication year - 2012
Publication title -
journal of applied crystallography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.429
H-Index - 162
ISSN - 1600-5767
DOI - 10.1107/s0021889812026854
Subject(s) - plasticity , crystallite , crystal plasticity , genetic algorithm , algorithm , materials science , tension (geology) , diffraction , lattice (music) , experimental data , compression (physics) , computer science , biological system , mathematics , composite material , physics , optics , statistics , metallurgy , machine learning , acoustics , biology
A genetic algorithm was implemented in order to optimize the selection of parameters within a polycrystalline plasticity model. Previously collected experimental data from tests performed on textured Zircaloy‐2, consisting of macroscopic flow curves, lattice strains and Lankford coefficients, all measured in both tension and compression in three principle directions of a plate, were reproduced by the model. The results obtained were found to be comparable to prior attempts to optimize the model parameters manually.