Predicting the occurrence of solidification cracking during the solidification of metallic alloys by numerical simulation is a crucial move for avoiding such defects. Several models are widely available, however, the application of such are impacted due to the specific and not accessible parameters required. A simple, composition-based approach to rank solidification cracking susceptibility is presented. The procedure links computational thermodynamic and computational fluid dynamics (CFD) to provide an evaluation tool for solidification cracking. The method is related to the liquid filling phenomena in dendritic arms during solidification, which plays a critical role in solidification cracking phenomena. The dendritic profiles were constructed using the fraction of solid calculated by commercial thermodynamic software packages. The calculated results were compared with experimental solidification cracking data and showed satisfactory accuracy. The method capability to rank the solidification cracking propensity of similar alloys based on composition provides an important new operative tool to aid alloy development in welding and additive manufacturing related areas.

通过数值模拟预测金属合金凝固过程中凝固裂纹的发生是避免此类缺陷的关键步骤。有几种模型可供广泛使用，但是，由于所需的特定且不可访问的参数，此类模型的应用会受到影响。提出了一种基于成分的简单方法来对凝固裂纹敏感性进行排序。该程序将计算热力学和计算流体力学（CFD）链接在一起，以提供一种评估凝固裂纹的工具。该方法与凝固过程中树枝状臂中的液体填充现象有关，这在凝固裂纹现象中起关键作用。使用通过商业热力学软件包计算的固体分数来构建树枝状分布。将计算结果与实验凝固裂纹数据进行比较，并显示出令人满意的准确性。基于成分对相似合金的凝固裂纹倾向进行分级的方法能力提供了重要的新操作工具，有助于在焊接和增材制造相关领域中合金的开发。