材料科学
动态再结晶
合金
再结晶(地质)
细胞自动机
压缩(物理)
冶金
热加工
复合材料
计算机科学
人工智能
生物
古生物学
作者
Fu Han,Y. Wang,R. Chen,Qingfei Gao,Y. Wang
标识
DOI:10.17222/mit.2018.273
摘要
To predict and control the microstructure evolution of the TC4 alloy during hot-compression deformation, a cellular automaton model including dynamic recrystallization (DRX-CA) was established based on dislocation-driven nucleation conditions and the grain-growth dynamics theory.The isothermal compression tests were conducted at temperatures ranging from 1000 °C to 1200 °C at 100 °C intervals and at strain rates ranging from 0.1 s -1 to 10.0 s -1 .The effects of the deformation process parameters (strain rate, deformation temperature and deformation degree) on the simulation results were analyzed, including the dynamic recrystallization fraction, average grain size and flow stress curve.Visual simulation of the dynamic recrystallization microstructure evolution of TC4 titanium alloy during high-temperature deformation was completed.For a single-phase area, the simulated flow stress curve was compared with the experimentally obtained stress curve, which verified the rationality and accuracy of the DRX-CA model.
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