A diffusion mobility database for magnesium alloy development. (March 2015)

• Record Type: Journal Article
• Authors: Bryan, Z.L.; Alieninov, P.; Berglund, I.S.; Manuel, M.V.
• Is Part Of: Calphad. Volume 48(2015)
• Page Start: 123
• Page End: 130
• Publication Date: 2015-03
• Subjects: Diffusion modeling -- Kinetic database -- Thermodynamics -- Optimization -- Assessment -- DICTRA; Phase diagrams -- Data processing -- Periodicals; Thermochemistry -- Data processing -- Periodicals; Diagrammes de phases -- Informatique -- Périodiques; Thermochimie -- Informatique -- Périodiques; Thermodynamica; Electronic journals; 541.363
• DOI: 10.1016/j.calphad.2014.12.001
• Languages: English
• ISSNs: 0364-5916

Abstract

Abstract: A database of atomic mobility parameters for single phase Mg–X (X=Ag, Al, Be, Cd, Ce, In, Fe, Ga, La, Mn, Ni, Sb, Sn, U, and Zn) systems was developed through the critical assessment of available Mg diffusion literature. Optimization of the binary diffusion activation energy terms for Ag, Al, Sn, and Zn solutes, as well as the Al–Zn interaction parameter were completed through the coupling of an existing thermodynamic database with the DICTRA software program. In general, agreement between simulated and experimental diffusion profiles was observed, although limitations for extrapolation to higher order systems were seen due to the limited multicomponent diffusion studies in Mg. This work, however, ultimately provides the foundation for the integration of diffusion simulations and predictions in future Mg alloy design. Further research to expand the current database, through either the experimental measurement or simulation of multicomponent diffusion and diffusivity in other phases (e.g. intermetallics, liquid), is expected to increase the database utility. Highlights: An atomic mobility database for several solutes in HCP–Mg was developed. The Ag, Al, Sn, and Zn atomic mobility activation energies were optimized. An Al–Zn interaction parameter was fit for diffusion in HCP–Mg. Experimental diffusion couples were used to validate the optimized mobilities.