The main aim of this research is to simulate a compression test of semi-solid A380 aluminium alloy in numerical software. In order to achieve a more realistic model, 2D image-based modelling is used. The first step of this method is to obtain appropriate microstructural images. As the semi-solid material consists of non-dendritic solid phase and liquid channels, ECAP tool is used to apply a high plastic strain to casted samples. In order to observe desirable (non-dendritic) microstructure, microstructure image is taken from water quench ECAPed sample heated at semi-solid range. After the binarizing image data, the data are imported to appropriate software. A coupled Eulerian–Lagrangian (CEL) approach is used to obtain macro-scale mechanical behaviour. This approach is used to take advantages of both main formulations: Eulerian formulation and Lagrangian formulation. In CEL approach, material moves through an Eulerian mesh that is fixed in space while Lagrangian mesh is attached to the material points and is used to set boundary conditions. The simulations results show a strong dependence of mechanical behaviour on strain rate. This informations can be used for prediction of semi-solid forming, as well.

本研究的主要目的是在数值软件中模拟半固态 A380 铝合金的压缩试验。为了实现更逼真的模型，使用了基于 2D 图像的建模。这种方法的第一步是获得适当的微观结构图像。由于半固体材料由非树枝状固相和液体通道组成，ECAP 工具用于对铸件施加高塑性应变。为了观察理想的（非树枝状）微观结构，微观结构图像取自在半固态范围内加热的水淬 ECAPed 样品。将图像数据二值化后，将数据导入适当的软件。耦合欧拉-拉格朗日 (CEL) 方法用于获得宏观尺度的机械行为。这种方法用于利用两种主要公式：欧拉公式和拉格朗日公式。在 CEL 方法中，材料通过空间固定的欧拉网格移动，而拉格朗日网格附加到材料点并用于设置边界条件。模拟结果表明机械行为对应变率有很强的依赖性。该信息也可用于预测半固态成形。