Modeling of the inhomogeneity of grain refinement during combined metal forming process by finite element and cellular automata methods
PBN-AR
Instytucja
Wydział Inżynierii Metali i Informatyki Przemysłowej (Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie)
Informacje podstawowe
Główny język publikacji
EN
Czasopismo
Materials Science and Engineering. A, Structural Materials: Properties, Microstructure and Processing
ISSN
0921-5093
EISSN
1873-4936
Wydawca
Elsevier Science SA
Rok publikacji
2016
Numer zeszytu
Strony od-do
204--213
Numer tomu
671
Link do pełnego tekstu
Identyfikator DOI
Liczba arkuszy
0.7
Słowa kluczowe
EN
microstructure
cellular automata
finite element method
grain refinement
severe plastic deformation
accumulative angular drawing process
Streszczenia
Język
EN
Treść
The potential of discrete cellular automata technique to predict the grain refinement in wires produced using combined metal forming process is presented and discussed within the paper. The developed combined metal forming process can be treated as one of the Severe Plastic Deformation (SPD) techniques that consists of three different modes of deformation: asymmetric drawing with bending, namely accumulated angular drawing (AAD), wire drawing (WD) and wire flattening (WF). To accurately replicate complex stress state both at macro and micro scales during subsequent deformations two stage modeling approach was used. First, the Finite Element Method (FEM), implemented in commercial ABAQUS software, was applied to simulate entire combined forming process at the macro scale level. Then, based on FEM results, the Cellular Automata (CA) method was applied for simulation of grain refinement at the microstructure level. Data transferred between FEM and CA methods included set of files with strain tensor components obtained from selected integration points in the macro scale model. As a result of CA simulation, detailed information on microstructure evolution during severe plastic deformation conditions was obtained, namely: changes of shape and sizes of modeled representative volume with imposed microstructure, changes of the number of grains, subgrains and dislocation cells, development of grain boundaries angle distribution as well as changes in the pole figures. To evaluate CA model predictive capabilities, results of computer simulation were compared with scanning electron microscopy and electron back scattered diffraction images (SEM/EBSD) studies of samples after AADþWDþWF process. © 2016 Elsevier B.V. All rights reserved.
Cechy publikacji
original article
peer-reviewed
Inne
System-identifier
idp:099168
CrossrefMetadata from Crossref logo
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