Simulation of Dendritic Growth in Solidification of Al-Cu Alloy by Applying the Modified Cellular Automaton Model with the Growth Calculation of Nucleus within a Cell

Hsiun Chang Peng; Long Sun Chao

doi:10.4028/www.scientific.net/MSF.594.22

Paper Titles

Preface

Mechanism Design of ITO-Layer Removal from Color Filter of TFT-LCD
p.1

Design and Fabrication of a General Purpose 3D Digitizer Based on Grinding Technique
p.7

Prototyping of Image-Based Inspection Mechanisms by CAD and Virtual Reality Technology
p.15

Simulation of Dendritic Growth in Solidification of Al-Cu Alloy by Applying the Modified Cellular Automaton Model with the Growth Calculation of Nucleus within a Cell
p.22

Study on Dendrite Shapes of Solidification in an Undercooled Melt
p.29

Simulation of Cooling Process of Medium Thickness Steel Plate
p.34

Deformation Characteristics on Surface Layer of White-Coated Paperboard by Center Bevel Blade Subjected to Pushing Load
p.39

A Forging Simulation by Using the Point Collocation Method with a Boundary Layer of Finite Element
p.45

HomeMaterials Science ForumMaterials Science Forum Vol. 594Simulation of Dendritic Growth in Solidification...

Simulation of Dendritic Growth in Solidification of Al-Cu Alloy by Applying the Modified Cellular Automaton Model with the Growth Calculation of Nucleus within a Cell

Abstract:

Rather than designated directly as solid if the micromesh (or cell) larger than a nucleus is chosen as the nucleation site, the growth of a nucleus in the cell is considered in the application of the modified cellular automaton model to simulate the evolution of dendritic microstructures in the solidification of Al-Cu alloy. The growth velocity of a nucleus or a dendrite tip is calculated according to the KGT (Kurz-Giovanola-Trivedi) model, which is the function of the undercooling. In this study, the dendritic microstructures, such as the free dendritic growth in an undercooled melt and the dendritic growth in the directional solidification, are simulated with the modified growth algorithm in the nucleation cell. The simulated results for the temporal and final morphologies are shown and are in agreement with the experimental ones.