Microstructure simulation and experiment investigation of dynamic recrystallization for ultra high strength steel during hot forging
In this paper, the flow behavior and evolution of microstructure during the hot forging process are predicted using numerical simulation, providing a reference for optimizing the process. The flow stress-strain curve of 30Cr2Ni3MoV steel was obtained by conducting hot compression experiments using G...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Journal of Materials Research and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785423019774 |
| _version_ | 1797646744634261504 |
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| author | Peng Luo Chundong Hu Qian Wang Bo Wang Jieyu Zhang Liping Zhong |
| author_facet | Peng Luo Chundong Hu Qian Wang Bo Wang Jieyu Zhang Liping Zhong |
| author_sort | Peng Luo |
| collection | DOAJ |
| description | In this paper, the flow behavior and evolution of microstructure during the hot forging process are predicted using numerical simulation, providing a reference for optimizing the process. The flow stress-strain curve of 30Cr2Ni3MoV steel was obtained by conducting hot compression experiments using Gleeble-3500 thermal simulator. The constitutive and dynamic recrystallization (DRX) cellular automaton (CA) models were established by analyzing the thermal deformation behavior, considering work hardening and DRX softening. This model was optimized by combining the dislocation density difference drive mechanism, increasing the total number of grain orientations, and then implementing Hash mapping to obtain the actual grain orientation. The simulation results of strain and strain rate in the process of thermal deformation were obtained through the constitutive model. Compared with the results of the hot compression experiment and the metallographic experiment, the accuracy of the simulation results of the DRX CA model was verified. Finally, the real-time updating module of deformation parameters is established, and the real-time process parameters of deformation calculation are updated to the CA model. The simulation results are consistent with the experimental results through metallographic experiments. |
| first_indexed | 2024-03-11T15:06:08Z |
| format | Article |
| id | doaj.art-ce3cf7771ed249069ce1c577e68d68fb |
| institution | Directory Open Access Journal |
| issn | 2238-7854 |
| language | English |
| last_indexed | 2024-03-11T15:06:08Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj.art-ce3cf7771ed249069ce1c577e68d68fb2023-10-30T06:03:40ZengElsevierJournal of Materials Research and Technology2238-78542023-09-012643104328Microstructure simulation and experiment investigation of dynamic recrystallization for ultra high strength steel during hot forgingPeng Luo0Chundong Hu1Qian Wang2Bo Wang3Jieyu Zhang4Liping Zhong5State Key Laboratory of Advanced Special Steel, Shanghai University, Shanghai 200072, China; Shanghai Key Laboratory of Advanced Ferrometallurgy, Shanghai University, Shanghai 200072, China; School of Materials Science and Engineering, Shanghai University, Shanghai 200072, ChinaState Key Laboratory of Advanced Special Steel, Shanghai University, Shanghai 200072, China; Shanghai Key Laboratory of Advanced Ferrometallurgy, Shanghai University, Shanghai 200072, China; School of Materials Science and Engineering, Shanghai University, Shanghai 200072, ChinaState Key Laboratory of Advanced Special Steel, Shanghai University, Shanghai 200072, China; Shanghai Key Laboratory of Advanced Ferrometallurgy, Shanghai University, Shanghai 200072, China; School of Materials Science and Engineering, Shanghai University, Shanghai 200072, ChinaState Key Laboratory of Advanced Special Steel, Shanghai University, Shanghai 200072, China; Shanghai Key Laboratory of Advanced Ferrometallurgy, Shanghai University, Shanghai 200072, China; School of Materials Science and Engineering, Shanghai University, Shanghai 200072, China; Corresponding author. State Key Laboratory of Advanced Special Steel, Shanghai University, Shanghai 200072, China.State Key Laboratory of Advanced Special Steel, Shanghai University, Shanghai 200072, China; Shanghai Key Laboratory of Advanced Ferrometallurgy, Shanghai University, Shanghai 200072, China; School of Materials Science and Engineering, Shanghai University, Shanghai 200072, ChinaState Key Laboratory of Advanced Special Steel, Shanghai University, Shanghai 200072, China; Shanghai Key Laboratory of Advanced Ferrometallurgy, Shanghai University, Shanghai 200072, China; School of Materials Science and Engineering, Shanghai University, Shanghai 200072, ChinaIn this paper, the flow behavior and evolution of microstructure during the hot forging process are predicted using numerical simulation, providing a reference for optimizing the process. The flow stress-strain curve of 30Cr2Ni3MoV steel was obtained by conducting hot compression experiments using Gleeble-3500 thermal simulator. The constitutive and dynamic recrystallization (DRX) cellular automaton (CA) models were established by analyzing the thermal deformation behavior, considering work hardening and DRX softening. This model was optimized by combining the dislocation density difference drive mechanism, increasing the total number of grain orientations, and then implementing Hash mapping to obtain the actual grain orientation. The simulation results of strain and strain rate in the process of thermal deformation were obtained through the constitutive model. Compared with the results of the hot compression experiment and the metallographic experiment, the accuracy of the simulation results of the DRX CA model was verified. Finally, the real-time updating module of deformation parameters is established, and the real-time process parameters of deformation calculation are updated to the CA model. The simulation results are consistent with the experimental results through metallographic experiments.http://www.sciencedirect.com/science/article/pii/S2238785423019774Ultra-high strength steelMicrostructureCellular automatonDynamic recrystallizationNumerical simulation |
| spellingShingle | Peng Luo Chundong Hu Qian Wang Bo Wang Jieyu Zhang Liping Zhong Microstructure simulation and experiment investigation of dynamic recrystallization for ultra high strength steel during hot forging Journal of Materials Research and Technology Ultra-high strength steel Microstructure Cellular automaton Dynamic recrystallization Numerical simulation |
| title | Microstructure simulation and experiment investigation of dynamic recrystallization for ultra high strength steel during hot forging |
| title_full | Microstructure simulation and experiment investigation of dynamic recrystallization for ultra high strength steel during hot forging |
| title_fullStr | Microstructure simulation and experiment investigation of dynamic recrystallization for ultra high strength steel during hot forging |
| title_full_unstemmed | Microstructure simulation and experiment investigation of dynamic recrystallization for ultra high strength steel during hot forging |
| title_short | Microstructure simulation and experiment investigation of dynamic recrystallization for ultra high strength steel during hot forging |
| title_sort | microstructure simulation and experiment investigation of dynamic recrystallization for ultra high strength steel during hot forging |
| topic | Ultra-high strength steel Microstructure Cellular automaton Dynamic recrystallization Numerical simulation |
| url | http://www.sciencedirect.com/science/article/pii/S2238785423019774 |
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