A Numerical Simulation of Microstructure Evolution of GH4169 Alloy Blade during Finish Forging

Abstract:

In order to predict the microstructure evolution and grain size of GH4169 alloy blade in finish forging process and optimize the parameters, a coupled simulation between thermal mechanical and microstructure evolution was realized through embedding the developed user subroutines into the DEFORM-3D software. The temperature, equivalent strain, dynamic recrystallization fraction, average grain size and grain size distribution were predicted and discussed. The experimental results of microstructure under the same forging condition were investigated. The average grain degree in the blade rabbet and body are 8 and 10 respectively. The calculated results of microstructure have a good agreement with the measured value from experimental data and the prediction error of average grain size is less than 6.7%. The developed program is reliable and the accuracy is satisfying. The distribution of grain size along the blade body is decreased from the middle to the leading and back edge. The shape and microstructure after finish forging under the condition of technology parameters meet the user’s requirement. Keywords: Blade, GH4169 alloy, Numerical simulation, Microstructure, Forging

• Periodical: Materials Science Forum (Volumes 704-705)
• Pages: 113-118
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.704-705.113
• Online since: December 2011
• Authors: G. X. Qi, Rui Bin Mei, F Wang, L Bao
• Keywords: Blade, Forging, GH4169 Alloy, Microstructure, Numerical Simulation

References

[1] Z. W. Zhang. Blade forging [M]. Xi'an: Xi'an Jiaotong University Press. (1987).

[2] Young-Sang Na. Jong-Taek Yeom, Nho-Kwang Park, Jai-young Lee. Simulation of microstructures for alloy 718 blade forging using 3D FEM simulator [J]. Journal of Materials Processing Technology 2003, 141(3): 337-342.

DOI: 10.1016/s0924-0136(03)00285-1

[3] X. L. Li, M. Q. Li. FE simulation for the forging process of TC6 alloy disc utilizing a microstructural model [J]. Materials Characterization. 2005, 55(4-5): 362-370.

DOI: 10.1016/j.matchar.2005.07.010

[4] Q Ma, Z.Q. Lin, Z. Q. Yu. A numerical Simulation of Microstructure Evolution of In718 Alloy during Multi-step Forging [J]. Journal of Shanghai Jiaotong Univeristy. 2007, 41(4): 629-633.

[5] M.Q. Li, A. M. Xiong, W. C. Huang, et al. Microstructural evolution and modeling of the hot compression of a TC6 titanium alloy [J]. Materials Characterization. 2003, 49(3): 203-209.

DOI: 10.1016/s1044-5803(02)00323-6

[6] W. Tan, Z.Y. Liu, D Wu, G. D Wang. Artificial Neural Network Modeling of Microstructure during C-Mn and HSLA Plate Rolling [J]. Journal of Iron and Steel Research International. 2009, 16(2): 80-83.

DOI: 10.1016/s1006-706x(09)60032-7

[7] H. Y. Zhang, W. H. Zhang, S. H. Zhang. Microstructure Prediction of GH4169 Alloy Turbine Disc during Forging [J]. Computer Aided Engineering. 2006, 15(1): 377-378.