摘要
根据在线式与离线式测量初晶温度的特点,提出了一种基于Rerstreken公式改进的离线式初晶温度预测模型,进而根据初晶温度计算得出铝电解质的过热度。模型以铝电解质中各种成分的质量百分数和取样分析周期的电解数据作为辅助变量,考虑取样分析周期内A lF3浓度的变化,实现了对初晶温度的准确估计。试验结果表明,本文所提出的预测模型能够准确地预测铝电解质的过热度。
According to the characteristics of on-line and off-line measurement of liquidus temperature,the paper presents an improved off-line prediction model of liquidus temperature based on Rerstreken formulas,and then gets aluminium electrolyte superheat degree according to the liquidus temperature.The model is based on percentages of a variety of ingredients in aluminium electrolyte and electrolysis data of sample analysis period as auxiliary variables,considers the AlF3 concentration changes in the sample analysis period,and implements accurate estimate on liquidus temperature.Experimental results show that the prediction model presented in this paper can accurately predict the aluminium electrolyte superheat degree.
出处
《轻金属》
CSCD
北大核心
2010年第10期35-38,共4页
Light Metals
基金
北京市属市管高等学校人才强教计划资助项目
项目编号:PHR20100509
国家科技支撑计划项目(2009BAE85B00)
关键词
过热度
铝电解
预测模型
初晶温度
superheat degree
aluminium electrolysis
prediction model
liquidus temperature
