论文部分内容阅读
对CaO-SiO2-Al2O3-MgO夹杂物熔点的影响因素进行了多尺度分析,利用Factsage模拟了CaO质量分数对CaO-SiO2-Al2O3-MgO夹杂物熔点的影响规律。多尺度分析表明,工位操作(101m)影响夹杂物成分(10-10m)的最后可控因素为钙线喂入量。其通过影响局部钢液中钙质量分数(100m)来改善熔池的动力学条件(10-3m),改变夹杂物中CaO质量分数(10-10m)。模拟结果表明,当CaO质量分数为30%时,CaO-SiO2-Al2O3-MgO相图中低熔点区域的比例达到最大。通过实例分析得到了夹杂物控制的工位级效应,表明了对钢液洁净度进行多尺度深入研究的可行性。
The influencing factors on melting point of CaO-SiO2-Al2O3-MgO inclusions were analyzed by multiscale. The effect of CaO mass fraction on the melting point of CaO-SiO2-Al2O3-MgO inclusions was simulated by Factsage. Multi-scale analysis showed that the final controllable factor that affected the composition of the inclusions (10-10m) at station operation (101m) was calcium line feeding. It improves the kinetics of the molten pool (10-3m) by affecting the calcium content (100m) in the local molten steel and changes the content of CaO in the inclusions (10-10m). The simulation results show that when the mass fraction of CaO is 30%, the proportion of low melting point region in CaO-SiO2-Al2O3-MgO phase reaches the maximum. The station-level effect of inclusion control was obtained through an example analysis, indicating the feasibility of multi-scale in-depth study on the cleanliness of molten steel.