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Microstructural simulation of dynamic recrystallization

Journal Article · · Acta Metallurgica; (United States)
 [1];  [2];  [3]
  1. Los Alamos National Lab., NM (United States)
  2. Exxon Research and Engineering Co., Annandale, NJ (United States). Corporate Research Labs.
  3. Michigan Univ., Ann Arbor, MI (United States). Dept. of Materials Science and Engineering
This paper discusses a Monte Carlo model for dynamic recrystallization developed from earlier models used to simulate static recrystallization and grain growth. The model simulates dynamic recrystallization by adding recrystallization nuclei and stored energy continuously with time. The simulations reproduce many of the essential features of dynamic recrystallization. The stored energy of the system, which may be interpreted as a measure of the flow stress, goes through a maximum and then decays, monotonically under some conditions and in an oscillatory manner under others. The mean grain size of the system also oscillates in a similar manner to the stored energy but out of phase by 90{degrees}. The flow stress oscillations occurred for conditions which lead to both coarsening and refinement of the initial grain size. Necklacing of the prior grain structure by new grains were observed for low {Delta}H and high {Delta}N; it is, however, not an invariable feature of grain refinement. The initial grain size has a profound influence on the microstructure that evolves during the first cycle of recrystallization but at long times, a mean grain size is established which depends on the values of {Delta}H and {Delta}N alone. Comparison of the relationships between the energy storage rate, maximum and asymptotic stored energy and the grain size suggest that in physical systems the energy storage rate and the nucleation rate are coupled. Comparison of the simulation results with experimental trends suggests that the dependence of nucleation rate on storage should be positive but weak. All of these results were obtained without the addition of special parameters to the model.
OSTI ID:
7300924
Journal Information:
Acta Metallurgica; (United States), Journal Name: Acta Metallurgica; (United States) Vol. 40:1; ISSN 0001-6160; ISSN AMETA
Country of Publication:
United States
Language:
English