Abstract：In order to clarify the temperature distribution of copper slag under different slag type slow cooling system, a 3D model is established based on ANSYS finite element software to simulate the thermal field. The results show that the copper slag temperature of flash furnace and converter decreases slowly in the early stage, and then the temperature decreasing speed increases. The temperature decreasing speed reaches the maximum within 2 h before water cooling, and then the decreasing speed slows down. At the initial 0 h, the temperature difference of the slag ladle reaches 851.51 ℃, at this time, the slag ladle bears the maximum thermal stress, which is not conducive to the service life of the slag ladle, so it is necessary to preheat the slag ladle. In the initial 2 h of water slow cooling, the temperature of copper slag decreases rapidly. In order to make the copper particles gather fully, it is necessary to slow down the cooling rate. In the water slow cooling stage of 2-50 h, the copper slag has solidified, and the cooling rate should be increased to reduce the time of slag slow cooling and save the production cost.
Busolic D, Parada F, Parra R, et al. Recovery of Molybdenum from roasted copper slags[C]//VIII International Conference Molten. Chile:University of Concepcion, 2009: 18.
[9]
Hwang K M, Lee J S, Choi H M, et al. Manufacture of foundry pig iron from copper smelting slag[J]. International Journal of Applied Engineering Research, 2018, 13(2): 973.
Santos M F, Moreira M H, Campos M G, et al. Enhanced numerical tool to evaluate steel ladle thermal losses[J]. Ceramics International, 2018, 44(11): 12831.
[13]
Mantripragada V T, Sarkar S. Wall stresses in dual bottom purged steel making ladles[J]. Chemical Engineering Research and Design, 2018, 139: 335.
Moreno-Navarro P, Ibrahimbegovic A, Pérez-Aparicio J L. Plasticity coupled with thermo-electric fields: Thermodynamics framework and finite element method computations[J]. Computer Methods in Applied Mechanics and Engineering, 2017, 315: 50.
Seggiani M. Modelling and simulation of time varying slag flow in a prenflo entrained-flow gasifier[J]. Fuel, 1998, 77(14): 1611.
[21]
Mizikar E A. Mathematical heat transfer model for solidification of continuously cast steel slabs[J]. Trans. TMS-AIME, 1967, 239(11): 1747.
[22]
Peet M J, Hasan H S, Bhadeshia H. Prediction of thermal conductivity of steel[J]. International Journal of Heat and Mass Transfer, 2011, 54(11/12): 2602.
[23]
Barrett T J, Savage D J, Ardeljan M, et al. An automated procedure for geometry creation and finite element mesh generation: Application to explicit grain structure models and machining distortion[J]. Computational Materials Science, 2018, 141: 269.
[24]
GAO M, ZHANG L, ZHANG D, et al. Experimental study on the enhancement of free convection heat transfer under the action of an electric field[J]. Experimental Thermal and Fluid Science, 2019, 104: 9.
[25]
Asfer M, Mehta B, Kumar A, et al. Effect of magnetic field on laminar convective heat transfer characteristics of ferrofluid flowing through a circular stainless steel tube[J]. International Journal of Heat and Fluid Flow, 2016, 59: 74.
[26]
Wyczókowski R, Boryca J. Analysis of thermal radiation in the heating of steel round bar bundles[J]. Acta Physica Polonica: A, 2019, 135(2): 125.
2020, Vol. 30 
