合金钢的热导率计算

基于大量钢的热导率数据,采用多元线性回归方法建立了合金钢的热导率和化学成分的定量关系式.回归分析结果表明,用强碳化物和非强碳化物形成元素的总质量分数,Si和C的质量分数作为多元线性回归的自变量是合适的.由于和基体Fe的外层电子结构的显著差异,Si元素对钢的热导率的减小效果远大于过渡族元素;C元素增加钢的热导率是由于C原子的增加使更多的碳化物形成元素分配到碳化物中,从而减弱了这些元素对基体热导率的影响.

Calculation of Thermal Conductivity for Alloy Steels

The quantitative relationship between thermal conductivity and chemical compositions for alloy steels is established by multivariate linear regression. The contents of silicon and carbon, the total contents of strong carbide- and non-carbide-forming elements are reasonably selected as four independent variables for the regression method. It is shown that silicon has much stronger negative influence on the thermal conductivity of these steels than the transition elements due to the prominent difference in the outer shell electronic structures of silicon and iron. Carbon has positive influence on the thermal conductivity, because the addition of carbon will attract more carbide-forming elements partitioned into carbide, thus weakening their influence on the thermal conductivity of steel matrix.