A multiphysics and multiscale model for low frequency electromagnetic direct-chill casting

4th International Conference on Advances in Solidification Processes

材料科学;物理学

Konik, N.^1,2,4 ; Gutin, A.Z.^2 ; Mavri, B.^2 ; Šarler, B.^2,3

Joef Stefan Institute, Jamova 39, Ljubljana, Slovenia^1

Institute of Metals and Technology, Lepi pot 11, Ljubljana, Slovenia^2

University of Nova Gorica, Vipavska 13, Nova Gorica, Slovenia^3

Department of Physics, University of Ljubljana, Jadranska 19, Ljubljana, Slovenia^4

关键词: Direct chill casting;    Downstream-processing;    Fractional step methods;    Induction equations;    Local radial basis function;    Multi-scale Modeling;    Pressure-velocity coupling;    Thermoelastic solid;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/117/1/012052/pdf
DOI  :  10.1088/1757-899X/117/1/012052

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Simulation and control of macrosegregation, deformation and grain size in low frequency electromagnetic (EM) direct-chill casting (LFEMC) is important for downstream processing. Respectively, a multiphysics and multiscale model is developed for solution of Lorentz force, temperature, velocity, concentration, deformation and grain structure of LFEMC processed aluminum alloys, with focus on axisymmetric billets. The mixture equations with lever rule, linearized phase diagram, and stationary thermoelastic solid phase are assumed, together with EM induction equation for the field imposed by the coil. Explicit diffuse approximate meshless solution procedure [1] is used for solving the EM field, and the explicit local radial basis function collocation method [2] is used for solving the coupled transport phenomena and thermomechanics fields. Pressure-velocity coupling is performed by the fractional step method [3]. The point automata method with modified KGT model is used to estimate the grain structure [4] in a post-processing mode. Thermal, mechanical, EM and grain structure outcomes of the model are demonstrated. A systematic study of the complicated influences of the process parameters can be investigated by the model, including intensity and frequency of the electromagnetic field. The meshless solution framework, with the implemented simplest physical models, will be further extended by including more sophisticated microsegregation and grain structure models, as well as a more realistic solid and solid-liquid phase rheology.