![]() ![]() ![]() School of Materials Science and Engineering and School of Mechanical Engineering, Tsinghua University, China Laurentiu Nastac ( Associate Professor of Metallurgical and Materials Engineering) ( Associate Professor of Metallurgical and Materials Engineering) Metallurgical and Materials Engineering Department, The University of Alabama, Tuscaloosa, Alabama, USA (Berlin, Springer Verlag: Heidelburg 1992). In: Brook GB, ed., Smithells Metals Reference Book. Granasy et al., “Growth of ‘dizzy dendrites’ in a random field of foreign particles,” Nature Materials, 2(2003), 92–96.īrandes EA. McFadden, “Phase-field model for isothermal phase transitions in binary alloys,” Phys. Chen et al., “The PANDAT software package and its applications,” CALPHAD, 26(2)(2002), 175–188.Ī. Zhu et al., “Modified Cellular Automaton Model for Modeling of Microstructure and Microsegregation in Solidification of Ternary Alloys,” Trans. Stefanescu, “A quantitative dendrite growth model and analysis of stability concepts,” Metall Mater Trans A, 35(2004), 2471–2485. Mclean, “A model of solidification microstructures in nickelbased superalloys: predicting primary dendrite spacing selection,” Acta Mater, 51(2003), 2971–2987. Hong, “A modified cellular automaton model for the simulation of dendritic growth in solidification of alloys,” ISIJ Int, 41(2001), 436–445. Lee et al., “Multiscale modelling of solidification microstructures, including microsegregation and microporosity in an Al-Si-Cu alloy,” Mater Sci Eng,365(A)(2004), 57–65. Yan et al., “Computational and experimental investigation of microsegregation in an Al-rich Al-Cu-Mg-Si quaternary alloy,” Acta Mater., 50(2002), 2199–2207. Xie et al., “Microstructure and microsegregation in Al-rich Al-Cu-Mg alloys,” Acta Mater., 47(1999), 489–500. Hecht et al., “Multiphase solidification in multicomponent alloys,” Mater Sci Eng, 46(R)(2004),1–49.į.-Y. It is demonstrated that the model is capable of not only reproducing realistic dendrite morphologies, but also reasonably predicting microsegregation patterns in solidification of Al-rich quaternary alloys. The model was validated through the comparisons of the simulated results with the Scheil predictions for the solid composition profiles as a function of solid fraction in an Al-6wt%Cu-0.6wt%Mg-1wt%Si alloy. Based on the local liquid compositions determined by solving the solutal transport equation in the domain, the local equilibrium liquidus temperature and the solid concentrations at the solid/liquid (SL) interface are calculated by the CALPHAD tool. The dynamics of dendritic growth is calculated according to the difference between the local equilibrium liquidus temperature and the actual temperature, incorporating with the Gibbs-Thomson effect and preferential dendritic growth orientations. A two-dimensional cellular automaton (CA) model is coupled with a CALPHAD tool for the simulation of dendritic growth and microsegregation in solidification of quaternary alloys. ![]()
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