A Simulation Method for Dynamic Recrystallization of Hot Deformation of gh4169 Alloy

Abstract

A dynamic recrystallization simulation method for thermal deformation of GH4169 alloy. The steps are: (1) Set the initial deformation temperature and simulation time step parameters; (2) Calculate the critical strain, set the variable k, and assign k=0, and gradually increase the element Cellular automaton time step (cellular automaton S); (3) Recrystallization nucleation orientation number; (4) Traverse each cell to determine and simulate grain growth; (5) Identify the grain boundary at this time step , re-determine the grain boundary cell; (6) After the current time step ends, update the image immediately, store the result calculated at this time step, assign k=k+1, and then jump back to the third step and continue execution; when the element When the cellular automaton S reaches the set total simulation time step, that is, k is greater than or equal to the cellular automaton S, the simulation process is terminated. At this time, parameters such as recrystallized grain size and recrystallized volume fraction are output, and the thermal deformation of GH4169 alloy is completed. Dynamic recrystallization simulation. The invention has strong practicability, high application value and small error.

Description

technical field [0001] The invention belongs to the technical field of material simulation, and in particular relates to a GH4169 alloy thermal deformation dynamic recrystallization simulation method. Background technique [0002] GH4169 alloy is widely used in the fields of aerospace, petroleum industry and nuclear energy because of its excellent comprehensive performance. Another feature of this alloy is that its microstructure is particularly sensitive to the hot forming process; The relationship between microstructure evolution and the establishment of a model of microstructure evolution during alloy hot deformation have very important application value for optimizing the performance of alloys and formulating reasonable process regulations for different requirements. [0003] With the development of material science and computer simulation technology, a large number of mathematical models describing the evolution of material organization have emerged, among which empiric...

AI Technical Summary

Problems solved by technology

The empirical model can guarantee the accuracy of the simulation within a certain range, and can be embedded in finite element software for calculation; the cellular automata model has unique advantages in simulating the evolution of complex systems, so it has recently received more and more attention from scholars; However, in the field of GH4169 alloy microstructure evolution simulation, the application of empirical models is seldom, especially the cellular automata recrystallization simulation is blank

At the same time, most of the dynamic recrystallization simulations of metals by cellular automata use dislocation density as the inducing factor of dynamic recrystallization, and the grain growth and nucleation are always related to the dislocation density; If it is uniformly distributed in the metal, recrystallization will not occur no matter how high the dislocation density is; and it is found through calculation that for the GH4169 alloy, this method controlled by the dislocation density is in poor agreement with the actual experimental results

Images