Numerical simulation of melt flow and temperature field during DC casting 2024 aluminium alloy under different casting conditions

被引:5
作者
Wang, Jin-chuan [1 ,2 ]
Zuo, Yu-bo [1 ,2 ]
Zhu, Qing-feng [1 ,3 ]
Li, Jing [1 ,2 ]
Wang, Rui [1 ,2 ]
Liu, Xu-dong [4 ]
机构
[1] Northeastern Univ, Key Lab Electromagnet Proc Mat, Minist Educ, Shenyang 110819, Peoples R China
[2] Northeastern Univ, Sch Mat Sci & Engn, Shenyang 110819, Peoples R China
[3] Minist Educ, Engn Res Ctr Adv Mat Preparing Technol, Shenyang 110819, Peoples R China
[4] Chinese Acad Sci, CAS Key Lab Nucl Mat & Safety Assessment, Inst Met Res, Shenyang 110016, Peoples R China
基金
中国国家自然科学基金;
关键词
aluminium; DC casting; flow field; temperature field; numerical simulation; TG146.21; A; MACROSEGREGATION; SOLIDIFICATION; EVOLUTION; GROWTH; SPEED; MODEL;
D O I
10.1007/s41230-024-3099-5
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Casting speed, casting temperature and secondary cooling water flow rate are the main process parameters affecting the DC casting process. These parameters significantly influence the flow and temperature fields during casting, which are crucial for the quality of the ingot and can determine the success or failure of the casting operation. Numerical simulation, with the advantages of low cost, rapid execution, and visualized results, is an important method to study and optimize the DC casting process. In the present work, a simulation model of DC casting 2024 aluminum alloy was established, and the reliability of the model was verified. Then, the influence of casting parameters on flow field and temperature field was studied in detail by numerical simulation method. Results show that with the increase of casting speed, the melt flow becomes faster, the depths of slurry zone and mushy zone increase, and the variation of slurry zone depth is greater than that of mushy zone. With an increase in casting temperature, the melt flow rate increases, the depth of the slurry zone becomes shallower, and the depth of the mushy zone experiences only minor changes. The simulation results further indicate that the increase of the flow rate of the secondary cooling water slightly reduces the depths of both slurry and mushy zone.
引用
收藏
页码:387 / 396
页数:10
相关论文
共 24 条
[1]  
Dorward R C., 2016, ESSENTIAL READINGS L, P825, DOI [10.1007/978-3-319-48228-6103, DOI 10.1007/978-3-319-48228-6103]
[2]   Effects of melt temperature and casting speed on the structure and defect formation during direct-chill casting of an Al-Cu alloy [J].
Eskin, DG ;
Savran, VI ;
Katgerman, L .
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 2005, 36A (07) :1965-1976
[3]   Structure formation and macro segregation under different process conditions during DC casting [J].
Eskin, DG ;
Zuidema, J ;
Savran, VI ;
Katgerman, L .
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2004, 384 (1-2) :232-244
[4]   Scale rules for macrosegregation during direct-chill casting of aluminum alloys [J].
Eskin, Dmitry G. ;
Du, Qiang ;
Katgerman, Laurens .
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 2008, 39A (05) :1206-1212
[5]   Modeling freckle formation in three dimensions during solidification of multicomponent alloys [J].
Felicelli, SD ;
Poirier, DR ;
Heinrich, JC .
METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE, 1998, 29 (04) :847-855
[6]   Numerical study of aluminum segregation during electron beam cold hearth melting for large-scale Ti-6 wt%Al-4 wt%V alloy slab ingots [J].
Gao, Lei ;
Huang, Hai-guang ;
Kratzsch, Christoph ;
Zhang, Hong-ming ;
Chattopadhyay, Kinnor ;
Jiang, Ye-hua ;
Zhou, Rong .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2020, 147
[7]  
Huang GJ, 2010, AIP CONF PROC, V1252, P515, DOI 10.1063/1.3457596
[8]   Effect of electromagnetic parameters on melt flow and heat transfer of AZ80 Mg alloy during differential phase electromagnetic DC casting based on numerical simulation [J].
Jia, Yong-hui ;
Hu, Cheng-lu ;
Le, Qi-chi ;
Hu, Wen-yi .
CHINA FOUNDRY, 2022, 19 (03) :191-200
[9]  
John F G, 2013, DIRECT CHILL CASTING, DOI [10.1002/9781118690734, DOI 10.1002/9781118690734]
[10]  
Launder B., 1974, NUMERICAL PREDICTION, V3, P269, DOI [10.1016/0045-7825(74)90029-2, DOI 10.1016/0045-7825(74)90029-2, https://doi.org/10.1016/0045-7825(74)90029-2]