Formation of Random Solid Solution in Multicomponent Alloys: from Hume-Rothery Rules to Entropic Stabilization

• Published in: Journal of phase equilibria and diffusion Vol. 38; no. 4; pp. 416 - 425
• Main Authors: He, Q. F., Ye, Y. F., Yang, Y.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2017; Springer Nature B.V
• Subjects: Alloys; Ceramics; Chemical bonds; Composites; Correlation; Crystallography and Scattering Methods; Engineering Thermodynamics; Glass; Heat and Mass Transfer; High entropy alloys; Metallic Materials; Metastable state; Natural Materials; Physics; Physics and Astronomy; Solid solutions; Stabilization; Temperature dependence; Thermodynamics; Hume-Rothery rules; entropic stabilization; random solid solution; high entropy alloys
• ISSN: 1547-7037; 1863-7345; 1934-7243
• DOI: 10.1007/s11669-017-0560-9

As proposed in the 1920s, the empirical Hume-Rothery rules have been guiding the alloy design for random solid solutions. In contrast, the recent proposal by Yeh et al. (Adv Eng Mater 6(5):299–303, 2004 ) suggested that formation of random solid solution could be attributed to the maximized configurational entropy of mixing of multicomponent alloys, also known as high entropy alloys. By taking into account the non-ideal mixing of atoms with inter-atomic correlations (correlated mixing), here we suggest that the idea of entropic stabilization could be theoretically connected with the Hume-Rothery rules. The non-ideal formulation of the configurational entropy of mixing of a multicomponent alloy rationalizes the recent data obtained from experiments and simulations, which show the temperature dependence of the configurational entropy of mixing, the metastability of random solid solution observed at a low temperature, and the coupled effect of atomic size and chemical bond misfit on the stability of random solid solution. Finally, we discuss the measures that one can take to maximize the configurational entropy of a multicomponent alloy by considering the possible correlations among their constituent elements.