钢中Al2O3夹杂在耐材壁面动态沉积/剥落行为的应用基础研究

金属铝由于高效、经济的脱氧能力和对钢基体晶粒的细化和组织的强化作用，在炼钢过程被广泛应用，但铝脱氧产物导致的水口结瘤却是长期以来困扰连铸的难点问题。解决水口结瘤的关键是量化解析水口结瘤的影响因素和准确表征水口结瘤的动态进程。本研究拟将微观粒子的运动状态、受力行为、粒子的沉积/剥落的条件与水口结瘤物沉积/剥落及结瘤导致的偏流、液面波动、卷渣等宏观流动特征建立关系，构建微观-介观-宏观的多尺度预测模型，通过对微观粒子沉积/剥落的独立影响因素的控制，达到对浇注过程非稳态现象（偏流、卷渣等）的调控，借助模型计算推断夹杂物沉积长大的动态进程及剥落颗粒物随流动的运动轨迹，预测剥落大颗粒夹杂物在铸坯中的存在分布位置。

Aluminum is widely used in steelmaking process due to its high efficiency and economical deoxidation ability, function of grain size refinement and structural strengthening. However, the clogging of submerged entry nozzle(SEN) caused by aluminum deoxidation product is a serious problem for the continuous casting process. The key technology for improving casting ability is to quantify the influence factors and characterize the dynamic process of the SEN clogging accurately. Present study intends to establish multi-scale prediction model between microscopic particle movement, mechanical behavior, deposition & peeling conditions and the phenomenon of un-symmetric flow, level fluctuation and slag entrapment due to the nozzle clogging. The influence factors of the micro particle deposition & peeling off are controlled independently to achieve the control of the unsteady state process such as un-symmetric flow, level fluctuation and slag entrapment etc. during the continuous casting process. The dynamic growth process of the inclusions, the trajectories of macro particles from the peeling off process, and the distribution of inclusions in slab can be predicted based on the model.