Microstructure Prediction of 316LN Stainless Steel for Dynamic Recrystallization Based on Cellular Automata
Key Engineering Materials(2016)
摘要
The established cellular automata model of dynamic recrystallization for 316LN simulated microstructure evolution of recrystallization nucleation and grain growth under different conditions. And on the basis of cellular automata model, the influence of strain, strain rate, deformation temperature on dynamic recrystallization behavior was analyzed. Though the hot compress experiment done on the Gleeble-3500 thermo mechanical simulator, combined with metallographic experiment, the microstructure at deformation temperature of 950 oC, 1050 oC and 1150 oC with strain rate of 0.001 s-1, 0.01 s-1, 0.1 s-1 and 1 s-1 was obtained. Simulation results are compared with metallographic microstructure, the error is small.
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关键词
dynamic recrystallization,316ln stainless steel,stainless steel,microstructure
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