Prediction of grain structure in direct-chill cast Al–Zn–Mg–Cu billets using cellular automaton-finite element method

Progress in Natural Science: Materials International

Sang-Hwa Lee¹  Kwangjun Eah²  Min-Seok Kim³  Jae-Gil Jung⁴ 

[1] Corresponding author.;Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea;Department of Materials Science and Engineering, Gachon University, Seongnam-si, 13120, Republic of Korea;Metallic Materials Division, Korea Institute of Materials Science, Changwon 51508, Republic of Korea;

关键词: Cellular automaton-finite element (CA-FE) model;    Direct-chill casting;    Al–Zn–Mg–Cu alloy;    A7068 alloy;    Grain structure;   

DOI  :  

来源: DOAJ

【 摘 要 】

A cellular automaton-finite element (CA-FE) model was used to predict the solidification grain structure of permanent mold cast A7086 alloy. In this model, a Gaussian distribution of nucleation sites was adopted, and the Kurz-Giovanola-Trivedi model was extended to a multicomponent Al–Zn–Mg–Cu alloy system to determine the growth kinetics of the dendrite tip. For describing the Gaussian distribution of nucleation sites on the mold surface, an empirical relationship between the initial cooling rate of the melt and the nucleation density was proposed. Under various casting conditions, the calculated grain structures agreed well with the experimental results. Subsequently, the model was applied to the direct-chill (DC) cast billets, and the simulated grain structures reproduced well the experimental results. This confirmed that the current CA-FE model can be used practically and effectively in DC casting processes.

【 授权许可】

Unknown