ISIJ International
Online ISSN : 1347-5460
Print ISSN : 0915-1559
ISSN-L : 0915-1559
Regular Article
Coupled Cellular Automaton (CA) – Finite Element (FE) Modeling of Directional Solidification of Al-3.5 wt% Ni Alloy: A Comparison with X-ray Synchrotron Observations
Dong Rong Liu Guillaume ReinhartNathalie Mangelinck‑NoelCharles-André GandinHenri Nguyen-ThiBernard Billia
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2014 Volume 54 Issue 2 Pages 392-400

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Abstract

Development of dendritic grain structure and meso‑segregation leading to localized intergranular eutectic is simulated during directional solidification of an Al ‑ 3.5 wt% Ni alloy with two pulling velocities (4 μm s–1 and 8 μm s–1) using a two‑dimensional (2D) Cellular Automaton – Finite Element (CAFE) model. 2D CAFE simulations are compared with in situ and real-time experiments characterized by means of X-ray radiography at the European Synchrotron Radiation Facility (Grenoble, France). Two nucleation models are used. The first model is established by listing all measured positions and orientations of experimentally-observed nucleation events. The undetermined value of the nucleation undercooling is then set to 0°C for all nucleation sites. The other model considers a stochastic model with a Gaussian distribution of the nucleation site as a function of the undercooling. It is derived from series of experiments. The influences of the nucleation models and liquid convection on the grain structure characteristics are numerically investigated. A good agreement with experimental observations is achieved concerning the evolutions of both the dendritic and the eutectic growth fronts (i.e., the size of the mushy zone). The predicted grain size and elongation are compared with measurements for the two nucleation laws. Simulations using the list of nucleation events reach better agreement with the longitudinal profiles of the grain equivalent diameter and elongation factor compared to the stochastic nucleation model. Direct tracking of the eutectic growth front as well as three‑dimensional analyses are found to be required for improvement of the predictions.

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© 2014 by The Iron and Steel Institute of Japan
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