A NEW METHOD FOR SIMULATING AND PREDICT- ING DYNAMIC RECRYSTALLIZATION IN METAL FORGING

doi:10.11900/0412.1961.2014.00142

Acta Metall Sin

2014, Vol. 50

Issue (9): 1128-1136 DOI: 10.11900/0412.1961.2014.00142

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A NEW METHOD FOR SIMULATING AND PREDICT- ING DYNAMIC RECRYSTALLIZATION IN METAL FORGING

LU Shiqiang(

), WANG Kelu, LI Xin, LIU Shibiao

School of Aeronautical Manufacturing Engineering, Nanchang Hangkong University, Nanchang 330063

Cite this article:

LU Shiqiang, WANG Kelu, LI Xin, LIU Shibiao. A NEW METHOD FOR SIMULATING AND PREDICT- ING DYNAMIC RECRYSTALLIZATION IN METAL FORGING. Acta Metall Sin, 2014, 50(9): 1128-1136.

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Abstract

The window of thermomechanical parameters where dynamic recrystallization occurs can be predicted according to the power dissipation map based on dynamic materials model, and the distribution of thermomechanical parameters in metal forging can be calculated by using finite element (FE) simulation. Thus, the zone of dynamic recrystallization and its evolution in metal forging not only can be simulated and predicted, but also the forging process parameters where dynamic recrystallization occurs can be optimized by the combination of the window of thermomechanical parameters where dynamic recrystallization occurs and finite element simulaton, which provides a new way for realizing the control of microstructure and property of forging. A method for simulating and predicting dynamic recrystallization in metal forging is proposed based on the combination of the thermomechanical parameter window of dynamic recrystallization predicted by power dissipation map and finite element simulation, and the method is already integrated into the commercial FE software Deform 3D. The zone of dynamic recrystallization and its evolution in compression of titanium alloy TC11 at process parameters (1020 ℃, 0.1 s^-¹), (1050 ℃, 0.1 s^-¹), (1050 ℃, 10 s^-¹) and constant strain rate are successfully simulated and predicted by using the modified FE software Deform 3D. The simulated and predicted result is in good agreement with experiment.

Key words: power dissipation map finite element dynamic recrystallization simulation and prediction titanium alloy TC11

ZTFLH:

TG316

Fund: Supported by National Natural Science Foundation of China (No.51164030)

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	Shiqiang LU
	Kelu WANG
	Xin LI
	Shibiao LIU

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https://www.ams.org.cn/EN/10.11900/0412.1961.2014.00142 OR https://www.ams.org.cn/EN/Y2014/V50/I9/1128

Fig.1 Power dissipation maps (PDMs) of titanium alloy TC11 at the strains of 0.7 (a) and 0.9 (b) (Contour numbers represent the values of the efficiency of power dissipation h)

Fig.2 Thermomechanical parameter window of dynamic recrystallization (DRX) for titanium alloy TC11

Fig.3 Flow stress curves at the strain rate of 0.1 s^-¹ at different temperatures

Fig.4 Relationship curves between working hardening and flow stress at 1050 ℃ and 0.1 s^-¹ (q—work hardening rate, s—stress)

Fig.5 Simulations of dynamic recrystallization behavior in compression at different process parameters (Numbers at the top are percents of reduction in height; P1, P2, P3, P4 are marked points)

Fig.6 Temperature changes of the marked points in compression at the different process parameters

(a) 1020 ℃, 0.1 s^-¹

(b) 1050 ℃, 0.1 s^-¹

Fig.7 Effective strain rate changes of the marked points in compression at the different process parameters

(a) 1020 ℃, 0.1 s^-¹

(b) 1050 ℃, 0.1 s^-¹

Fig.8 Effective strain changes of the marked points in compression at the different process parameters

(a) 1020 ℃, 0.1 s^-¹

(b) 1050 ℃, 0.1 s^-¹

Fig.9 Microstructures at the different zones of the specimens compressed 70% in height reduction at 1020 ℃ and 0.1 s^-¹

(a) P2 zone (b) P4 zone (c) P3 zone

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