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机构地区:[1]首钢京唐钢铁联合有限责任公司,河北唐山063200 [2]北京科技大学冶金与生态工程学院,北京100083
出 处:《钢铁研究学报》2013年第6期18-23,共6页Journal of Iron and Steel Research
基 金:国家重点基础研究发展计划资助项目(2010CB630806)
摘 要:针对目前微观偏析模型形式复杂、求解困难等问题,在比较了目前几个主要的微观偏析模型的计算结果后,基于Scheil模型的方程形式和CK模型在1℃/s冷却速率下的变化趋势,建立了适合连铸坯凝固的简易微观偏析模型。研究表明,该模型可快速并准确预测枝晶间液相浓度与钢的零强度温度(ZST),并可对连铸坯各元素间宏观偏析的关系进行定量判断,大幅度降低了使用难度。Aiming at the problems that the current micro-segregation models are complex and difficult to be solved, the main current micro-segregation models were compared and discussed, and then a simple model was established based on the equation form of Scheil model and the trends of CK model under the cooling rate 1 ℃/s. It is shown that the interdendritie liquid concentration, ZST of steel and the relationships of macro-segregation between different elements in billet could be quickly and accurately predicted by this model which is much easier to be understood and solved.
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