2012
DOI: 10.4028/www.scientific.net/amr.602-604.559
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Numerical Simulation for Dynamic Recrystallization of Ti40 Alloy in Hot Compression by Finite Element Method

Abstract: Hot compression tests of Ti40 alloy was carried out on a GLEEBLE 3500 thermo- mechanical simulator at the deformation temperatures of 950~1100°C, the strain rates of 0.01~0.1s-1 and the height reductions from 20% to 60%. The true stress/true strain curves were obtained through the tests. Through physical experiment and FEM-based microstructure modelings, the dynamic recrystallizaiton (DRX) behavior of the alloy is extensively explored. The results show that increasing true strain, raising deformation temperatu… Show more

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(2 citation statements)
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“…The annihilation and increase in dislocation density during thermal deformation are combined with work hardening and softening effects. To describe the relationship between dislocations and work hardening and softening in detail, Mecking and Kocks 35 proposed the KM phenomenological model, as shown in equation (10):…”
Section: Dislocation Density Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The annihilation and increase in dislocation density during thermal deformation are combined with work hardening and softening effects. To describe the relationship between dislocations and work hardening and softening in detail, Mecking and Kocks 35 proposed the KM phenomenological model, as shown in equation (10):…”
Section: Dislocation Density Modelmentioning
confidence: 99%
“…[7][8][9] In recent years, with the development of plastic processing theory, computers, and graphics processing technology, the use of numerical simulation and simulation technology to study material plastic forming problems has become an important research method outside of experiments and theory. [10][11][12] Several effective simulation methods are currently being used in microstructure simulation. Mellbin et al 13 proposed a multi-scale modeling framework that combines a graph-based vertex model of microstructural evolution with a GPU-parallel crystal plasticity model.…”
Section: Introductionmentioning
confidence: 99%