@ARTICLE{Yin_Yajun_Quantitative_2023,
 author={Yin, Yajun and Xie, Yao and Song, Yingchen and Shen, Xu and Ji, Xiaoyuan and Zhou, Jianxin},
 volume={vol. 23},
 number={No 4},
 pages={117-126},
 journal={Archives of Foundry Engineering},
 howpublished={online},
 year={2023},
 publisher={The Katowice Branch of the Polish Academy of Sciences},
 abstract={Air entrainment defect is a common type of defect in the casting process, which will seriously affect the quality of the casting. Numerical simulation technology can predict the occurrence of casting defects according to the evolution law of liquid metal in the process of fill ing and solidification. The simulation of air entrainment process is a hot and difficult issue in the field of numerical simulation. The evolution law of air entrainment and the tracking of induced bubbles in the process of metal filling are still lacking. So is the quantitative prediction of trained gas. In this paper, based on the numerical simulation software of Inte CAST, this paper proposes an algorithm for air entrainment search and tracking, which is used to develop a quantitative prediction system for air entrainment. The feasibility of the system is verified through the simulation calculation of the typical test pieces of the air entrainment and the prediction of air entrainment defects of the casting in the process of filling is obtained through the simulation calculation of the actual casting, which can provide a certain guiding role for the optimization of the process in the production practice.},
 type={Article},
 title={Quantitative Prediction of Air Entrainment Defects in Casting Filling Process},
 URL={http://journals.pan.pl/Content/129843/PDF-MASTER/AFE%204_2023_14-Final.pdf},
 doi={10.24425/afe.2023.146686},
 keywords={Casting, Numerical simulation, Gas entrainment defect, Filling process},
}