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316LN stainless steel forging process grain evolution experiment and simulation studies

Author: ChenMingMing
Tutor: ChenHuiQin
School: Taiyuan University of Science and Technology
Course: Materials Processing Engineering
Keywords: 316LN stainless steel Large forgings The microstructure evolution Tissue simulation technology
CLC: TG316
Type: Master's thesis
Year: 2010
Downloads: 409
Quote: 4
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Abstract


316LN austenitic stainless steel as the material of the key parts of nuclear power, has good mechanical properties and resistance to intergranular stress corrosion, applied to large forgings coarse grain and mixed grain quality issues seriously affect the mechanical properties of the forgings. Thus, the systematic study of 316LN stainless steel grain evolution in the process of large forgings can provide experimental basis for predicting the grain changes in the actual forging process, the theoretical basis and key technologies for the preparation of large forgings, The microstructure simulation technology development of great significance. In this paper, a combination of technical means of physical experiments and numerical simulation study 316LN grain evolution and the organization of simulation technology in the forging process. Tissue simulation technology, the core issue is to establish accurate microstructure evolution model This article from the grain growth, dynamic recrystallization, static recrystallization and dynamic recrystallization in Asia carried out on the basis of the study, obtained the following conclusions: (1 ) to return to the squared error and minimum optimization objectives grain growth model, this model can accurately predict the heat treatment in the grain growth process. (2) study the rheological behavior of 316LN stainless steel high temperature hot compression tests on Gleeble-1500D thermal simulation testing machine. Through the analysis of the basis of experimental data, the flow stress and strain rate. 316LN high-temperature plastic deformation, the relationship between the deformation temperature hyperbolic sine function can be selected to be described. Poliak and Joans proposed the method based on the stress-strain curve, and determine the value of the critical strain of dynamic recrystallization, dynamic recrystallization kinetics equation. (3) double pass hot compression experiments on static softening behavior in 316LN stainless steel, to draw static recrystallization and sub dynamic recrystallization softening curve are in line with the Avrami equation, showing the typical S-shaped curve characteristics. Static recrystallization by impact than the strain rate of the strain to be large, but the the Asian dynamic recrystallization opposite, the greater the different deformation parameter study, drawn strain, static recrystallization score the greater; higher strain rate Metadynamic The recrystallized fraction greater the. (4) combined macroscopic thermodynamic behavior and microstructure evolution coupling technology, the microstructure evolution model input DEFORM software, different times the actual forging fire test process simulation, the grain size and simulated results with actual forging from the grain size of test results were compared, both errors are small, in order to verify the reliability of the microstructure model built. Forging test results according to different times of fire, that static recrystallization not only grain refinement and grain distribution more uniform, fine homogenization results validated by numerical simulation, and thus proved the organizational model built by reliability. Finally, this paper using DEFORM 3D numerical simulation software on the tube a certain drawing fire times, the predict results show maximum deformation area grain size of approximately 59μm-98μm.

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CLC: > Industrial Technology > Metallurgy and Metal Craft > Metal pressure processing > Forging, forging and blacksmith > Forging process
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