Simulatie On The Dynamic Recrystallization Of GCR15Steel Under Cellular Automata

During hot deformation process, the macroscopic properties are largely decidedby the grain group. In this paper, the dynamic recrystallization process of GCr15steelwas studied in order to exploring the material internal microstructure evolution ruleand getting the best macro mechanical properties.In the past years, combination of experiments and theoretical derivation is themain method for the study of the dynamic recrystallization, which was difficult tooperate, high costs and had long testing cycle, at the same time, hard to observematerial internal microstructure evolution process directly. Above all, it had a lot oflimitations.With the emergence of new simulation technology and high performancecomputers, using computer to research material grain organization has become a trend.Cellular automata (CA) is a method to analyze materials organization, compared withthe previous simulation model and numerical calculation method, which should bemuch more common in the calculation and simulation. Cellular automata (CA) haverandomness and uncertainty at the same time, which can transform complicated,systematic physical model into a series of discrete, simple mathematical calculationmodel, according to certain rules.In this article, author used the MATLAB language to programming, convertingthe evolution law of dynamic recrystallization for calculation rules of cellularautomata, and completed the structure of the model.The parameters of the model in the experimental simulation, such as materialgrain size and dislocation density,were obtained by experiment, according to thesingle channel of GCr15material thermal compression experiment results andcomparing with the simulation results of a Cellular automata (CA),I could validatethe correctness of the model and its accuracy; changing the deformation temperature,strain rate, processing parameters in the model, I could explore the effect of dynamicrecrystallization of GCr15material on the initial grain size, deformation temperatureand strain rate, at the same time, based on the ring Rollin’s simulation results of professional software, I optimized the model in order to achieve the requirement;According to the application of Cellular automata (CA) of myself, I perceived theadvantages and disadvantages of the method, briefly analyzed the developmentdirection of Cellular automata.Compared with related experimental results, the author verified the accuracy ofthe model. The article discussed the three kinds of factors of the hot compressionprocess, including initial grain size, deformation temperature and strain rate, theinfluence law on thermal deformation. Through simulation results, changing the threetypes of process parameters and improving the cellular automata model, it is suitablefor the rolling ring.