A Simple Model of the Mold Boundary Condition in Direct-Chill (DC) Casting of Aluminum Alloys

被引:40
作者
Baserinia, Amir R. [1 ]
Ng, H. [1 ]
Weckman, D. C. [1 ]
Wells, M. A. [1 ]
Barker, S. [2 ]
Gallerneault, M. [2 ]
机构
[1] Univ Waterloo, Dept Mech & Mechatron Engn, Waterloo, ON N2L 3G1, Canada
[2] Novelis Global Technol Ctr, Kingston, ON K7L 3N6, Canada
来源
METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE | 2012年 / 43卷 / 04期
基金
加拿大自然科学与工程研究理事会;
关键词
MATHEMATICAL-MODEL; NUMERICAL-SIMULATION; HEAT; METAL; MACROSEGREGATION; SOLIDIFICATION; CONVECTION; INGOT; FLOW;
D O I
10.1007/s11663-012-9658-y
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
An accurate thermofluids model of aluminum direct-chill (DC) casting must solve the heat-transfer equations in the ingot with realistic external boundary conditions. These boundary conditions are typically separated into two zones: primary cooling, which occurs inside the water-cooled mold, and secondary cooling, where a film of water contacts the ingot surface directly. Here, a simple model for the primary cooling boundary condition of the steady-state DC casting process was developed. First, the water-cooled mold was modeled using a commercial computational fluid dynamics (CFD) package, and its effective heat-transfer coefficient was determined. To predict the air-gap formation between the ingot and mold and to predict its effect on the primary cooling, a simple density-based shrinkage model of the solidifying shell was developed and compared with a more complex three-dimensional (3-D) thermoelastic model. DC casting simulations using these two models were performed for AA3003 and AA4045 aluminum alloys at two different casting speeds. A series of experiments was also performed using a laboratory-scale rectangular DC caster to measure the thermal history and sump shape of the DC cast ingots. Comparisons between the simulations and experimental results suggested that both models provide good agreement for the liquid sump profiles and the temperature distributions within the ingot. The density-based shrinkage model, however, is significantly easier to implement in a CFD code and is more computationally efficient.
引用
收藏
页码:887 / 901
页数:15
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