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Prediction of location specific mechanical properties of aluminum casting using a new CA-FEA (cellular automaton-finite element analysis) approach
Materials & Design ( IF 8.4 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.matdes.2020.108929
Colin D. Ridgeway , Cheng Gu , Keith Ripplinger , Duane Detwiler , Mingshi Ji , Soheil Soghrati , Alan A. Luo

Abstract Predicting location specific properties of industrial castings is a critical part of the Integrated Computational Materials Engineering (ICME) framework for casting design and manufacturing. In this paper, a new design methodology is presented to calculate and predict location specific mechanical properties of an aluminum casting based on its location specific microstructure. Cellular Automaton (CA) and Finite Element Analysis (FEA) tools are coupled to model the mechanical response of a cast component from the casting process conditions to its final location specific solidification microstructure. This new CA-FEA methodology can bridge multiple length scales and predict location specific microstructure and mechanical properties of an aluminum wedge casting, which was experimentally validated using X-ray Micro Computed Tomography and mechanical testing.

中文翻译:

使用新的 CA-FEA(元胞自动机-有限元分析)方法预测铝铸件的位置特定机械性能

摘要 预测工业铸件的位置特定属性是用于铸件设计和制造的集成计算材料工程 (ICME) 框架的关键部分。在本文中,提出了一种新的设计方法,用于根据特定位置的微观结构计算和预测铝铸件的特定位置机械性能。元胞自动机 (CA) 和有限元分析 (FEA) 工具相结合,以模拟铸造部件从铸造工艺条件到其最终位置特定凝固微观结构的机械响应。这种新的 CA-FEA 方法可以连接多个长度尺度并预测铝楔形铸件的特定位置的微观结构和机械性能,
更新日期:2020-09-01
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