摘要
由于炉料成分和熔炼条件的波动,使得热分析法在铸铁炉前成分检测精度上的不稳定是造成热分析法受限的主要原因。分别采用加碲和不加碲的样杯对灰铸铁进行热分析试验,通过二元线性回归建立热分析数学模型,比较成分检测的精度。研究结果表明:对于生产中炉料变化不大的情况,采用不加碲样杯进行热分析测试的精度会更高;如果不能严格控制炉料,用加碲样杯进行热分析,则能够保证比较稳定的精度。针对不同的炉料和熔炼条件,选用合适的热分析数学模型是铸铁炉前质量控制成功与否的关键。
Because of the fluctuation of charging composition and melting condition, the accuracy of on-line prediction of cast iron composition was unstable, which restricts the application of thermal analysis. The thermal analysis of gray cast-iron was studied by using sample cup with Te and without Te respectively. The mathematical model of thermal analysis was established by binary linear regression method, and the calculation result of which was compared to the accuracy of on-line prediction of cast iron composition. The results showed that thermal analysis test using sample cup without Te would be more precise in the condition that charging composition changed little in production. If the change of charging composition was not controlled strictly, stable precision could be ensured by using sample cup with Te. According to different charging composition and melting condition, selecting an appropriate mathematical model of thermal analysis was the key factor of on-line quality control of cast iron.
出处
《上海金属》
CAS
2008年第3期35-38,共4页
Shanghai Metals
关键词
灰铸铁
热分析
数学模型
选用范围
Gray Cast-Iron, Thermal Analysis, Mathematical Model, Application Range
作者简介
吕建南，男，主要从事热分析技术在铸造合金生产中应用的研究，电话：13564517551，Email：danan1203@126．com
