Numerical Simulation of Electro-Slag Remelting Process Solidification Structure of Cr-Co-Mo-Ni Bearing Steel

Abstract:

The solidification microstructure and crystallization of Cr-Co-Mo-Ni bearing steel were simulated in solidification process based on CAFE methods in the electro-slag remelting process. The optimization of the intensity of cooling and molten pool temperature was simulated for Cr-Co-Mo-Ni bearing steel. The result shows that raising the cooling intensity to 7.5 m³/h and reducing the superheat temperature to 1600 can increase the grain nucleation number about 13.83%, and reduce the average columnar grain radius about 10.61%, to have a very good effect on refining the grains and get dense uniform solidification, which improve the homogeneity of the solidification structure, and reduce the performance differences of the materials.

• Periodical: Materials Science Forum (Volume 749)
• Pages: 96-104
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.749.96
• Online since: March 2013
• Authors: Li Guo Bai, Mao Sheng Yang, Jing She Li
• Keywords: Bearing Steel, CAFE, Electro-Slag Remelting, Intensity of Cooling, Molten Pool Temperature, Numerical Simulation, Solidification

References

[1] Tang J J, Geng M P, Rao L, Zhang Y, et al. Influence of Technology Parameters on Casting's Quality under Electro-slag Remelting Casting Process. Hot Working Technology 2010, Vol. 39: 45.

[2] Patel A D. Gerbeth G ed. Proceedings of the 6th International Conference 011 Electromagnetic Processing of Materials. Dresden: For chungs zen trum Dresden—Rossend off, 2009: 603.

[3] Dong y w, Jiang Z H, Zhao H M, Zhang X F, et al. Numerical Simulation of Producing Large ESR Ingots. Journal of Materials and Metallurgy, Vol. 10, March 2011: 110.

[4] Gandin C A, Rappaz M. A 3D Cellular Automaton Algorithm for the Prediction of Dendritic grain growth. Acta Metal Mater, 1997, 45(5): 2187.

DOI: 10.1016/s1359-6454(96)00303-5

[5] Sang B G, Zhang X W, Kang X H, et al. Solidification Simulation and Experimental Investigation of Heavy Steel Ingot. Foundry Mar, 2010, 59 (3): 278.

[6] Wang T M. Research on the Micro-modeling of Metal Solidification Process [Dissertation]. Dalian：Dalian University of Technology, (2000).

[7] Wang J L Wang F M, Li C R, et al. Simulation of Solidification Processes of 9SMn28 Free-cutting Steel Based on a CAFE Method. Journal of University of Science and Technology Beijing, 2010, 32 (3) : 325.

DOI: 10.1002/srin.200900109

[8] Liu D R. Numerical Simulation of Solidification Structure Formation of TiAl Alloy Ingots [Dissertation]. Harbin: Harbin Institute of Technology, 2005,: 58.

[9] Zenon I, Mieczyslaw H, Jakub H. Prediction of Dendritic Microstructure Using the Cellular Automaton Finite Element Method for Hypoeutectic Al-Si Alloys Castings. Mater Sci, 2006, 12 (2): 124.

[10] Gandin Ch-A, Desbiolles J-L, Rappaz M, et al. A Three-dimensional Cellular Automaton Finite Element Model for the Prediction of Solidification Grain Structures. Metallurgical and Materials Transactions A, 1999, 30（12）: 3153.

DOI: 10.1007/s11661-999-0226-2

[11] Kampfer T U. Modeling of Micro-segregation using an Adaptive Domain Decom Position Method [Dissertation]. Lausanne: Ecole Poly technique Fédérale de Lausanne, 2002: 31.

[12] Ouchi C, Sampei T, Kozasu I, et al. The Effect of Hot Rolling Condition and Chemical Composition on the Onset temperature of γ-α transformation after Hot Rolling. Transactions, ISJJ Int, 1982, 26 (22): 215.

DOI: 10.2355/isijinternational1966.22.214

[13] Yu J Q, Yi W Z, Chen B D, et al. Binary Alloy Phase Diagram. Shanghai: Shanghai Scientific and Technical Publishers, 1987: 366.

[14] Chen J X. Ferrous Metallurgy. Beijing: Metallurgical Industry Press, 2004: 311.

[15] Li W C. Physical Chemistry of Metallurgy and Material. Beijing: Metallurgical Industry Press, 2001: 531.