Abstract
Hot compressive behaviors of X12 alloy steel were investigated using a Gleeble-1500D thermal mechanical simulator in a temperature range from 1050 to 1250 °C and with a range of strain rates from 0.05 to 5 s−1 and a maximum true strain of 0.7. Stress–strain curves were obtained under various deformation conditions. A modified Laasraoui–Jonas (L-J) dislocation density model of X12 alloy steel was established for the given ranges of strain rate and temperature. On the basis of this dislocation density model, a cellular automaton (CA) model was constructed and used to simulate microstructure evolution during the hot compression process. Microstructure and grain size of X12 were predicted for different deformation conditions. The simulated grain size was compared with the actual grain size measured with metallographic photos. An average relative error of grain size was determined to be 6%, indicating that the modified L-J dislocation density model can accurately predict dynamic recrystallization behaviors of X12 alloy steel in hot forging processes.
Highlights
This X12 alloy steel is an important material for production of ultra-supercritical high and medium pressure rotors, which work in an environment of high temperature and high pressure
Liu X et al used the L-J dislocation density model coupled with cellular automaton to simulate microstructure evolution and dislocation density changes during hot compression deformation of AZ31 magnesium alloy [26]
There are few studies on simulating the microstructure evolution of X12 alloy steel by establishing the L-J dislocation density model combined with cellular automata
Summary
This X12 alloy steel is an important material for production of ultra-supercritical high and medium pressure rotors, which work in an environment of high temperature and high pressure. Most studies on microstructure evolution of X12 alloy steel were done through mathematical models combined with experimental means These methods cannot satisfactorily express the process of dynamic recrystallization. The dislocation density model combined with cellular automata technology is widely used to simulate microstructure during hot deformation. Liu X et al used the L-J dislocation density model coupled with cellular automaton to simulate microstructure evolution and dislocation density changes during hot compression deformation of AZ31 magnesium alloy [26]. There are few studies on simulating the microstructure evolution of X12 alloy steel by establishing the L-J dislocation density model combined with cellular automata. The CA model was established based on the dislocation density model for simulation of X12 steel hot compression experiment, and dynamically recrystallized grains were obtained after compression deformation under different conditions. This work will provide certain guidance on actual production processes in the future
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