Experimental Study and Numerical Simulation of Dynamic Recrystallization Behavior of a High-Strength Steel

• Published in: Metals and materials international Vol. 27; no. 5; pp. 1044 - 1059
• Main Authors: Duan, X. W., Liu, J. J., Gong, B., Li, P., Liu, J. S.
• Format: Journal Article
• Language: English
• Published: Seoul The Korean Institute of Metals and Materials 01.05.2021; Springer Nature B.V; 대한금속·재료학회
• Subjects: Characterization and Evaluation of Materials; Chemistry and Materials Science; Compression tests; Compressive strength; Computer simulation; Deformation; Dynamic recrystallization; Engineering Thermodynamics; Finite element method; Grain size; Heat and Mass Transfer; High strength steel; High strength steels; Hot pressing; Machines; Magnetic Materials; Magnetism; Manufacturing; Materials Science; Mathematical models; Metal forming; Metallic Materials; Microstructure; Optical microscopes; Optimization; Processes; Simulation; Solid Mechanics; Strain; Thermal simulators; Yield strength; 재료공학; Hot compression test; 34CrNiMo6 steel; Numerical simulation; Dynamic recrystallization
• ISSN: 1598-9623; 2005-4149
• DOI: 10.1007/s12540-019-00433-w

In this paper, to research the dynamic recrystallization (DRX) behavior of a high-strength steel (34CrNiMo6), hot compression tests were carried on Gleeble-1500D thermo-mechanical simulator within the different temperatures and strain rates. After hot compression tests, the microstructures of specimens were observed by optical microscope. Based on Kocks and Mecking mathematics model (KM), the DRX kinetic model was established by the flow stress curves during hot deformation. Meanwhile, a grain size model was established by measuring microstructure. Furthermore, combined with the material kinetic model and grain size model, a rigid–plastic finite element simulation was built to analyze the microstructural behavior of 34CrNiMo6 steel during the uniaxial hot compression. The results indicate that the simulation results are in good agreement with the experimental data. The DRX model had an accurately predictive capability for the hot compression process, which could provide a theoretical guidance and process optimization for metal forming processes. Graphic Abstract