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Microporosity Prediction in Aluminum Alloy Castings

机译:铝合金铸件中的微孔率预测

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摘要

A comprehensive methodology that takes into account solidification, shrinkage-driven interdendritic fluid flow, hydrogen precipitation, and porosity evolution has been developed for the prediction of the microporosity fraction and distribution in aluminum alloy castings. The approach may be used to determine the extent of gas and shrinkage porosity, i.e., the resultant microporosity which occurs due to gas precipitation and that which occurs when solidification shrinkage cannot be compensated for by the interdendritic fluid flow. A solution algorithm in which the local pressure and microporosity are coupled is presented, and details of the implementation methodology are provided. The models are implemented in a computational framework consistent with that of commonly used algorithms for fluid dynamics, allowing a straightforward incorporation into existing commercial software. The results show that the effect of microporosity on the interdendritic fluid flow cannot be neglected. The predictions of porosity profiles are validated by comparison with independent experimental measurements by other researchers on aluminum A356 alloy test castings designed to capture a variety of solidification conditions. The numerical results reproduce the characteristic microporosity profiles observed in the experimental results and also agree quantitatively with the experimentally measured porosity levels. The approach provides an enhanced capability for the design of structural castings.
机译:为了预测铝合金铸件中的微孔率和分布,已开发出一种综合方法,该方法考虑了凝固,收缩驱动的树枝状流体流动,氢沉淀和孔隙度的演变。该方法可用于确定气体的程度和收缩孔隙率,即,由于气体沉淀而产生的和当凝固收缩不能通过树突状流体流动来补偿时发生的微孔隙率。提出了一种将局部压力和微孔耦合的求解算法,并提供了实现方法的详细信息。这些模型是在与常用的流体动力学算法一致的计算框架中实现的,从而可以直接整合到现有的商业软件中。结果表明,微孔对树突间流体流动的影响不可忽略。通过与其他研究人员对旨在捕获各种凝固条件的铝A356合金测试铸件进行的独立实验测量结果进行比较,验证了孔隙率分布的预测。数值结果再现了在实验结果中观察到的特征微孔分布,并且还与实验测量的孔隙度水平定量一致。该方法为结构铸件的设计提供了增强的功能。

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