Numerical Simulation Of Flow Field And Temperature Field For Molten Steel In Thin-Slab Continuous Casting Mold

Mold is not only the heart of continuous casting machine but also the last link of controlling the cleanliness of steel liquid. It plays an indispensable role in improving slab quality. The fluid flow in the mold has a great influence on heat transfer and inclusions floatation, it also has something with many surface and internal quality problems such as crack, cockle and segregation. Therefore, it is necessary to study the fluid flow and heat transfer of liquid steel in the mold.According to actual circumstance of CSP in Handan Iron and Steel Company, making use of some scene technology parameter and referring a lot of document data, a three-dimensional mathematical model of fluid flow and heat transfer has been developed. Governing equation, initial condition, boundary condition and the basic mechanics parameters were ascertained. Then simulate the process of fluid flow and heat transfer with two kinds of SEN separately in using of ProCAST software. The results of flow field and temperature field images were obtained. We summarized their distribution characteristics. The numerical simulation results well fit to the experiment results in literatures and the site, which prove the correctness of the mathematical model.The fluid flow and heat transfer in the mold is simulated in the circumstance of different in technical parameters, casting speed, flow-guiding slot angle and submerge depth, with using two kinds of SEN separately.This research shows 1) The bilateral outlet is better than the ox-noise outlet in according to the results. 2) In a small scope, field constitution is not affect by speed obviously. 3) It is reasonable when the flow-guiding slot angle between 100°and 110°to ox-nose outlet and about 110°to the bilateral outlet. 4) Depth of molten steel flow shock is more deeper with the submerge depth added, the reasonable depth is 150mm when the speed is 4m/min.According to the results, it provides not only the reference to the actual production, but also theory and data to optimize SEN design.