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A Multiscale Transient Modeling Approach for Predicting the Solidification Structure in VAR-Processed Alloy 718 Ingots

机译:预测VAR处理的718合金铸锭凝固组织的多尺度瞬态建模方法

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This paper describes the development and validation of a comprehensive multiscale modeling approach capable of predicting at the mesoscopic scale level the ingot solidification structure and solidification-related defects commonly occurring during the vacuum arc remelting (VAR) process. The approach consists of a coupling between a fully transient macroscopic code and a mesoscopic solidification structure code. The predictions from the multiscale model, including grain morphology and size, primary and secondary dendrite arm spacings, Laves and NbC phases, tendency for freckling and columnar-to-equiaxed transition, were validated against experimental measurements for a 20-inch diameter VAR alloy 718 ingots. The validated model was then used to investigate the effects of melting rate and ingot diameter on the solidification structure of VAR processed 718 ingots.
机译:本文介绍了一种全面的多尺度建模方法的开发和验证,该方法能够在介观尺度水平上预测在真空电弧重熔(VAR)过程中通常发生的铸锭凝固组织和与凝固相关的缺陷。该方法由完全瞬变的宏观代码与介观的凝固组织代码之间的耦合组成。通过多尺度模型的预测,包括20英寸直径VAR合金718的实验测量结果,验证了包括晶粒形貌和大小,初级和次级枝晶臂间距,Laves和NbC相,雀斑趋势和柱状到等轴转变的预测。锭。然后使用经过验证的模型研究熔化速率和铸锭直径对VAR处理的718铸锭的凝固组织的影响。

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