Randomly grain growth in metallic materials

A. Ramírez, F. Chávez, L. Demedices, A. Cruz, M. Macias

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

6 Citas (Scopus)

Resumen

Computational modeling of grain structures is a very important topic in materials science. In this work, the development of the computational algorithms for a mathematical model to predict grain nucleation and grain growth is presented. The model place a number of nucleated points randomly in a liquid pool according with the solid and liquid fractions (Xsol and Xliq) of metal solute and the local temperature distribution (SSI,J). Then these points grows isotropically until obtain a grain structure with straight interfaces. Different grain morphologies such as columnar and equiaxed can be obtained as a function of the temperature distributions and growth directions.

Idioma originalInglés
Páginas (desde-hasta)820-825
Número de páginas6
PublicaciónChaos, Solitons and Fractals
Volumen42
N.º2
DOI
EstadoPublicada - 30 oct. 2009

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