PREDICTION OF MICROSTRUCTURE EVOLUTION OF 316LN AUSTENITIC STAINLESS STEEL USING CELLULAR AUTOMATA AND A NOVEL EVALUATION METHOD FOR GRAIN SIZE INHOMOGENEITY
Keywords:
grain size inhomogeneity, 316LN, cellular automata, evaluate
Abstract
Inhomogeneous grain size is a significant structural defect in large forgings. This study employed cellular automata to simulate the dynamic recrystallization (DRX) of 316LN steel and analyzed the grain distribution during DRX. The accuracy of the CA method was verified by comparing its results with the results of a thermal simulation test on Gleeble 1500D. Subsequently, a novel method for evaluating grain size inhomogeneity was proposed. The grain size inhomogeneity coefficient Gu was introduced to determine the evolution of grain size inhomogeneity during DRX. This coefficient accurately and objectively reflects grain inhomogeneity. The impact of the initial and recrystallized grain size on the inhomogeneity during DRX was also analyzed.
References
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2 N.M. Ryabykin, Y.V. Protsiv, Grain Size Inhomogeneity in Ring Preforms Fabricated from High-Temperature Alloys, Metal Science & Heat Treatment, 43 (2001) 9-10, 351-355, doi: 10.1023/A:1013636416379
3 D. Feng, G. Wang, H. Chen, et al., Effect of grain size inhomogeneity of ingot on dynamic softening behavior and processing map of Al-8Zn-2Mg-2Cu alloy, Metals and Materials International, 24 (2018), 195-204, doi: 10.1007/s12540-017-7324-2
4 S.H. Sun, Y. Koizumi, S. Kurosu, et al., Phase and grain size inhomogeneity and their influences on creep behavior of Co–Cr–Mo alloy additive manufactured by electron beam melting, Acta Materialia, 86 (2015), 305-318, doi: 10.1016/j.actamat.2014.11.012
5 S.Y. Betsofen, A.L. Lapin, 2004. Inhomogeneity of Texture, Particle Precipitation and Grain Size under Recrystallization of Al-Mg , Al-Mg-Li and Al-Mg-Sc Alloys, Materials Science Forum, 363-368.
6 Landgraf, FJG, Takanohashi, et al., The origin of grain size inhomogeneity in semi-processed electrical steels, Journal of Magnetism and Magnetic Materials, 215 (2000), 92-93.
7 S. Nandi, B.K. Kar, P.P. Chaudhuri, Theory and Applications of Cellular Automata, IEEE Transactions on Computers, 43 (1995) 12, 1346-1357.
8 P. Alavi, S. Serajzadeh, Microstructural Changes During Static Recrystallization of Austenitic Stainless Steel 304L: Cellular Automata Simulation, Metallography Microstructure and Analysis, 9 (2020) 2, 223-238.
9 X.Z. Shi, S.W. Du, Static Recrystallization Mechanism of LZ50 Steel and Cellular Automata Simulation, 55 (2019) 14, 43-52, doi: 10.3901/JME.2019.14.043
10 F. Su, W. Liu, Z. Wen, Three-Dimensional Cellular Automata Simulation of the Austenitizing Process in GCr15 Bearing Steel, Materials, 12 (2019) 18, 3022, doi: 10.3390/ma12183022
11 T. Iwamoto, T. Sawa, S. Kubo, Constitutive Modeling of Single Crystal TRIP Steel Based on Transformation – Crystal Plasticity Theory and Computational Simulation of Its Transformation and Deformation Behavior by Cellular Automata Approach, Journal of the Society of Materials Science Japan, 57 (2008) 3, 219-224, doi: 10.2472/jsms.57.219
12 M. Qian, Z.X. Guo, Cellular automata simulation of microstructural evolution during dynamic recrystallization of an HY-100 steel, Materials Science and Engineering A, 365 (2004) 1-2, 180-185, doi:
13 P. Alavi, S. Serajzadeh, Simulation of recrystallization and martensite revision in 304L austenitic stainless steel after multi-pass rolling processes, Multiscale and Multidisciplinary Modeling, Experiments and Design, 3 (2020) 4, 227-244.
14 F. Chen, X.D. Zhao, J.Y. Ren, et al., Physically-Based Constitutive Modelling of As-Cast CL70 Steel for Hot Deformation, Metals and Materials International, 27 (2021), 1728–1738, doi: 10.1007/s12540-019-00541-7
15 F. Chen, K. Qi, Z. Cui, et al., Modeling the dynamic recrystallization in austenitic stainless steel using cellular automaton method, Computational Materials Science, 83 (2014), 331-340, doi: 10.1016/j.commatsci.2013.11.029
16 M. Ma, T. Chang, Z. Gu, Discussion on Evaluation Method of Grain Size Inhomogeneity, Physics Examination and Testing, 1 (1990), 5-6.
17 T. Chang, M. Ma, Discussion on evaluation method of mixed crystal degree of steel. Physical Testing and Chemical Analysis, Part A:Physical Testing, 1 (1989), 40-41.
Published
2023-10-03
How to Cite
1.
Qin M, Liu J. PREDICTION OF MICROSTRUCTURE EVOLUTION OF 316LN AUSTENITIC STAINLESS STEEL USING CELLULAR AUTOMATA AND A NOVEL EVALUATION METHOD FOR GRAIN SIZE INHOMOGENEITY. MatTech [Internet]. 2023Oct.3 [cited 2026Aug.14];57(5):475–483. Available from: https://www.mater-tehnol.si/index.php/MatTech/article/view/796
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