Journal
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
Volume 527, Issue 13-14, Pages 3111-3119Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.msea.2010.01.062
Keywords
Dynamic recrystallization; Cellular automata method; Nucleation model; Inverse analysis method; Response surface method; Parameter identification
Categories
Funding
- National Basic Research Program of China [2006CB705401]
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Since it is difficult to accurately describe the nucleation behavior through analytical calculation or experimental observation, an inverse analysis method is used to evaluate the reasonability of two different nucleation models, i.e., a conventional constant nucleation model where the nucleation rate is assumed to be independent of strain and a dislocation-related nucleation model where it is strain dependent. In order to accurately estimate the parameters in the above two models, a flow stress-based inverse analysis method is developed. This method is implemented by coupling a cellular automata (CA) model with an adaptive response surface method (ARSM). Then the reasonability of each nucleation model is evaluated by comparing the level of agreement between the simulations and the experiments. Taking a low carbon steel deformed at 1173 K and 0.1 s(-1) as an example, it is shown that the flow stress-based inverse analysis method is able to estimate the nucleation parameters accurately and the introduction of the dislocation-related nucleation model makes the simulation even closer to the actual physical process. (C) 2010 Elsevier B.V. All rights reserved.
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