A Study on Processing Map and Flow Stress Model of AZ80 Magnesium Alloy Forming at Elevated Temperature


Article Preview

Quantities AZ80 magnesium alloy billets were compressed with 60% height reduction on hot process simulator at 200,250,300,350,400,450°C under strain rates of 0.001, 0.01, 0.1,1 and 10s-1.The processing maps based on the Dynamic Material Modeling (DMM) were constructed, which is useful to analyze the deformation mechanism and the destabilization mechanism of AZ80 alloy. If the mechanical property of AZ80 alloy is taken into consideration, the optimal deformation processing parameters from the processing maps are the deformation temperatures ranging from 300 to 350°C and strain rates ranging from 0.001 to 0.01s-1. Meanwhile, a flow stress model with eight parameters is used to characterize the dynamic recrystallization strain softening of AZ80 alloy.



Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen




Y. Xue et al., "A Study on Processing Map and Flow Stress Model of AZ80 Magnesium Alloy Forming at Elevated Temperature", Applied Mechanics and Materials, Vols. 121-126, pp. 3-9, 2012

Online since:

October 2011




[1] Y.V.R.K. Prasad: Indian Journal of Technology, Vol. 28 (1990), pp.435-451.

[2] Y.V.R.K. Prasad, T. Seshacharyulu: International Materials Reviews, Vol. 43 (1998), pp.243-258.

[3] H.L. Gegel: Computer simulation in material science, Ed. R.J. Arsenault et al., ASM, Metals Park, vol. 14 (1987) pp.291-344.

[4] S. Spigarelli, M. Mehtedi, M. Cabibbo, et al: Materials Science and Engineering a-Structural Materials Properties Microstructure and Processing, Vol. 462 (2007), pp.197-201.

[5] H. Takuda, T. Morishita, T. Kinoshita: Journal of Materials Processing Technology, 2005, Vol. 164-165 (2005), pp.1258-1262.

[6] Y. Kojima, T. Aizawa, K. Higashi, S. Kamado: Materials Science Forum, 2003, Vol. 419-422 (2003), pp.249-254.

[7] C.M. Sellars: Materials Science and Technology, 1985, Vol. 1 (1985), pp.325-332.

[8] HO LEE, B., REDDY, N.S., YEOM, J.T., SOO LEE, CH: Journal of Materials Processing Technology, Vol. 187-188(2007), pp.766-769.

DOI: https://doi.org/10.1016/j.jmatprotec.2006.11.053

[9] Liu J, Cui ZS, Li CX. : Computational Materials Science, Vol. 41 (2008), pp.375-382.