Randomly grain growth in metallic materials

Ana Calderon Ramirez, F. Chávez, L. Demedices, A. Cruz and M. Macias

Chaos, Solitons & Fractals, 2009, vol. 42, issue 2, 820-825

Abstract: 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.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:42:y:2009:i:2:p:820-825

DOI: 10.1016/j.chaos.2009.02.011

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