Abstract A two-phase Eulerian-Eulerian volume-averaged model was used to predict the outcome of the twin-roll casting process for inoculated Al-4 wt.% Cu alloys. The model is able to address the deformation of the mush during hot rolling by treating the solid/liquid mixture as a viscoplastic skeleton saturated with liquid. A parameter measuring the mean absolute deviation around the nominal composition was applied to the normalized macrosegregation distribution and the results were then used to determine an optimal process window where minimal compositional variation is achieved in the final strip. In the case of casting an 8 mm thick Al-4%Cu strip with rolls of 800 mm diameter, casting speeds between 40 and 42 mm/s and heat transfer rates given by HTCs between 5000 and 5250 W/m2/K minimize the macrosegregation deviations in the strip and thus predict an optimal strip quality.

中文翻译：

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双辊铸造模拟的两相粘塑性模型

摘要 使用两相欧拉-欧拉体积平均模型来预测双辊铸造工艺对接种 Al-4 wt.% Cu 合金的结果。该模型能够通过将固/液混合物视为被液体饱和的粘塑性骨架来解决热轧过程中糊状物的变形问题。将测量围绕标称成分的平均绝对偏差的参数应用于标准化宏观偏析分布，然后将结果用于确定最佳工艺窗口，其中在最终带材中实现最小成分变化。在用直径为 800 毫米的轧辊铸造 8 毫米厚的 Al-4%Cu 带材的情况下，