作者
Cheng Gu, Yan Lu, Emre Cinkilic, Jiashi Miao, Andrew Klarner, Xinyan Yan, Alan A Luo
发表日期
2019/4/15
期刊
Computational Materials Science
卷号
161
页码范围
64-75
出版商
Elsevier
简介
Grain structure is one of the most important factors that affect the mechanical properties of metallic alloys. Accurate prediction of as-cast grain structure is critical in the design and manufacturing of metal castings using an integrated computational materials engineering (ICME) approach. In this paper, a three-dimensional (3-D) model based on cellular automaton (CA) and process simulation was developed for predicting grain size of components produced by high pressure die casting (HPDC) of aluminum alloys. The concurrent nucleation and growth of grains were considered in the model. A test specimen casting, consisting of different wall thicknesses, was simulated using a finite element based casting process simulation software ProCAST®. The thermal history of the simulated casting was extracted and used in subsequent mesoscale CA modeling. Different thermal conditions were used to simulate grain …
学术搜索中的文章
C Gu, Y Lu, E Cinkilic, J Miao, A Klarner, X Yan, AA Luo - Computational Materials Science, 2019