灰铸铁热分析数学模型的研究

Mathematical Model of Thermal Analysis for Gray Cast Iron

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出现不稳定的情况。本文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, theaccuracy of prediction of cast iron composition was unstable, which restricts the application of thermal analysis. The thermal analysis of gray castiron 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 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 quality control of cast iron.