Abstract
In this study, dynamic recrystallization during nonisothermal hot compression test was numerically simulated by finite element analysis using new grain aggregate model for dynamic recrystallization. This model was developed based on mean field approach by assuming grain aggregate as representative element. For each grain aggregate, changes of state variables were calculated using three sub-models for work hardening, nucleation, and nucleus growth. A conventional single parameter dislocation density model was used to calculate change of dislocation density in grains. For modeling nucleation, constant nucleation rate and nucleation criterion developed by Roberts and Ahlblom were used. It was assumed that the nucleation occurs when the dislocation density of certain grain reaches a critical nucleation criterion. Conventional rate theory was used to model nucleus growth. The developed dynamic recrystallization model was validated by comparing with isothermal hot compression of pure copper. Then, the finite element analysis was conducted to predict the local changes of microstructure and average grain size by using the grain aggregate model. The predicted results were compared with nonisothermal hot compression results. The simulation results were in reasonably good agreement with experimentally obtained microstructures and the calculation time was much shorter than cellular automata-finite element method.
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References
Humphreys, F. and Hatherly, M., “Recrystallization and Related Annealing Phenomena,” Elsevier, pp. 232–235, 2004.
Sellars, C. M. and Whiteman, J. A., “Recrystallization and Grain Growth in Hot Rolling”, Met. Sci., Vol. 13, No. 3, pp. 187–194, 1979.
Hodgson, P. D. and Gibbs, R. K., “A Mathematical Model to Predict the Mechanical Properties of Hot Rolled C-Mn and Microalloyed Steels,” ISIJ International, Vol. 32, No. 12, pp. 1329–1338, 1992.
Suehiro, M., Sato, K., and Yada, H., “Mathematical Model for Predicting Microstructural Changes and Strength of Low Carbon Steels in Hot Strip Rolling,” Proc. of International Conference on Physical Metallurgy of Thermomechanical Processing of Steels and Other Metals. pp. 791–798, 1988.
Karhausen, K. and Kopp, R., “Model for Integrated Process and Microstructure Simulation in Hot Forming,” Steel Research, Vol. 63, No. 6, pp. 247–256, 1992.
Cha, D. J., Kim, D. K., Cho, J. R., and Bae, W. B., “Hot shape Forging of Gas Turbine Disk using Microstructure Prediction and Finite Element Analysis,” Int. J. Precis. Eng. Manuf., Vol. 12, No. 2, pp. 331–336, 2011.
Lee, H. W., Kwon, H. C., Im, Y. T., Hodgson, P., and Zahiri, S., “Local Austenite Grain Size Distribution in Hot Bar Rolling of AISI 4135 Steel,” ISIJ International, Vol. 45, No. 5, pp. 706–712, 2005.
Srolovitz, D., Grest, G., and Anderson, M., “Computer Simulation of Recrystallization-I. Homogeneous Nucleation and Growth,” Acta Metallurgica, Vol. 34, No. 9, pp. 1833–1845, 1986.
Peczak, P. and Luton, M. J., “A Monte Carlo Study of the Influence of Dynamic Recovery on Dynamic Recrystallization,” Acta Metallurgica Et Materialia, Vol. 41, No. 1, pp. 59–71, 1993.
Takaki, T., Hirouchi, T., Hisakuni, Y., Yamanaka, A., and Tomita, Y., “Multi-Phase-Field Model to Simulate Microstructure Evolutions during Dynamic Recrystallization,” Materials Transactions, Vol. 49, No. 11, pp. 2559–2565, 2008.
Takaki, T., Hisakuni, Y., Hirouchi, T., Yamanaka, A., and Tomita, Y., “Multi-Phase-Field Simulations for Dynamic Recrystallization,” Computational Materials Science, Vol. 45, No. 4, pp. 881–888, 2009.
Ding, R. and Guo, Z. X., “Coupled Quantitative Simulation of Microstructural Evolution and Plastic Flow during Dynamic Recrystallization,” Acta Materialia, Vol. 49, No. 16, pp. 3163–3175, 2001.
Yazdipour, N., Davies, C. H., and Hodgson, P. D., “Microstructural Modeling of Dynamic Recrystallization using Irregular Cellular Automata,” Computational Materials Science, Vol. 44, No. 2, pp. 566–576, 2008.
Lee, H. W. and Im, Y. T., “Cellular Automata Modeling of Grain Coarsening and Refinement during the Dynamic Recrystallization of Pure Copper,” Materials Transactions, Vol. 51, No. 9, pp. 1614–1620, 2010.
Lee, H. W. and Im, Y. T., “Numerical Modeling of Dynamic Recrystallization during Nonisothermal Hot Compression by Cellular Automata and Finite Element Analysis,” International Journal of Mechanical Sciences, Vol. 52, No. 10, pp. 1277–1289, 2010.
Cram, D. G., Zurob, H. S., Brechet, Y. J. M., and Hutchinson, C. R., “Modelling Discontinuous Dynamic Recrystallization using a Physically based Model for Nucleation,” Acta Materialia, Vol. 57, No. 17, pp. 5218–5228, 2009.
Montheillet, F., Lurdos, O., and Damamme, G., “A Grain Scale Approach for Modeling Steady-State Discontinuous Dynamic Recrystallization,” Acta Materialia, Vol. 57, No. 5, pp. 1602–1612, 2009.
Kocks, U. F., “Laws For Work-Hardening and Low-Temperature Creep,” Journal of Engineering Materials and Technology, Vol. 98, No. 1, pp. 76–85, 1976.
Mecking, H. and Kocks, U. F., “Kinetics of Flow and Strain-Hardening,” Acta Metallurgica, Vol. 29, No. 11, pp. 1865–1875, 1981.
Roberts, W. and Ahlblom, B., “A Nucleation Criterion for Dynamic Recrystallization during Hot Working,” Acta Metallurgica, Vol. 26, No. 5, pp. 801–813, 1978.
Stüwe, H. P. and Ortner, B., “Recrystallization in Hot Working and Creep,” Metal Science, Vol. 8, No. 1, pp. 161–167, 1974.
CAMP Lab. ME. KAIST, “CAMPform-2D ver1.5,” http://camp.kaist.ac.kr/campseries.html (Accessed 18 APR 2014)
Lee, C. H. and Kobayashi, S., “New Solutions to Rigid-Plastic Deformation Problems using a Matrix Method,” Journal of Engineering for Industry, Vol. 95, No. 3, pp. 865–873, 1973.
Sakai, T., Ohashi, M., Chiba, K., and Jonas, J., “Recovery and Recrystallization of Polycrystalline Nickel after Hot Working,” Acta Metallurgica, Vol. 36, No. 7, pp. 1781–1790, 1988.
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Lee, H.W., Kang, SH. & Lee, Y. Prediction of microstructure evolution during hot forging using grain aggregate model for dynamic recrystallization. Int. J. Precis. Eng. Manuf. 15, 1055–1062 (2014). https://doi.org/10.1007/s12541-014-0436-4
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DOI: https://doi.org/10.1007/s12541-014-0436-4