Refine your search�ソスF     
Report No.
 - 

Grain growth prediction with inclination dependence of $$langle 110 rangle$$ tilt grain boundary using multi-phase-field model with penalty for multiple junctions

Hirouchi, Tomoyuki*; Tsuru, Tomohito   ; Shibutani, Yoji*

Multi-phase-field (MPF) model with a higher-order term representing energetic penalty for multiple junctions was proposed to predict the grain growth accompanying the inclination dependence of grain boundary (GB) energy and mobility. The inclination effect was introduced on the basis of GB energy obtained from molecular dynamics simulations. The preliminary grain growth simulation of an isolated grain surrounded by $$Sigma 3$$ GB certified that the analytical equilibrium shape was well reproduced. The augmented higher-order term added to conventional MPF model could improve convergence and stability of numerical calculations around triple junction (TJ) region even if there exists the large GB energy gap at the TJ. For the polycrystalline grain growth simulations with the GB energy distribution according to the misorientation angle of Al $$langle 110 rangle$$ tilt GB, $$Sigma 3$$ GB inclination lead the weak anisotropy characterized by $$Sigma 3 {111}$$ twin boundary.

Accesses

:

- Accesses

InCites™

:

Percentile:57.31

Category:Materials Science, Multidisciplinary

Altmetrics

:

[CLARIVATE ANALYTICS], [WEB OF SCIENCE], [HIGHLY CITED PAPER & CUP LOGO] and [HOT PAPER & FIRE LOGO] are trademarks of Clarivate Analytics, and/or its affiliated company or companies, and used herein by permission and/or license.