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Prediction of Microstructure Evolution during Hot Forging using Grain Aggregate Model for Dynamic Recrystallization
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  • Prediction of Microstructure Evolution during Hot Forging using Grain Aggregate Model for Dynamic Recrystallization
  • Prediction of Microstructure Evolution during Hot Forging using Grain Aggregate Model for Dynamic Recrystallization
저자명
Lee. Ho Won,Kang. Seong-Hoon,Lee. Youngseon
간행물명
International journal of precision engineering and manufacturing
권/호정보
2014년|15권 6호|pp.1055-1062 (8 pages)
발행정보
한국정밀공학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

In this study, dynamic recrystallization during nonisothermal hot compression test was numerically simulated by finite element analysis using new grain aggregate model for dynamic recrystallization. This model was developed based on mean field approach by assuming grain aggregate as representative element. For each grain aggregate, changes of state variables were calculated using three sub-models for work hardening, nucleation, and nucleus growth. A conventional single parameter dislocation density model was used to calculate change of dislocation density in grains. For modeling nucleation, constant nucleation rate and nucleation criterion developed by Roberts and Ahlblom were used. It was assumed that the nucleation occurs when the dislocation density of certain grain reaches a critical nucleation criterion. Conventional rate theory was used to model nucleus growth. The developed dynamic recrystallization model was validated by comparing with isothermal hot compression of pure copper. Then, the finite element analysis was conducted to predict the local changes of microstructure and average grain size by using the grain aggregate model. The predicted results were compared with nonisothermal hot compression results. The simulation results were in reasonably good agreement with experimentally obtained microstructures and the calculation time was much shorter than cellular automata-finite element method.