摘要：为了研究粉尘粒径对镁铝合金粉的最低着火温度的影响规律,采用Godbert-Greenwald恒温炉装置测试不同粒径镁铝合金粉的最低着火温度,利用多个模型对实验数据进行曲线拟合,并利用确定系数、估计值标准误差、总相对误差、平均系统误差、平均预估误差、平均百分标准误差共6项指标对模型进行评价,以解决因实验数据量少而无法进行模型检验的问题,并得到拟合的最佳模型。结果表明:随着粉尘粒径的增大,镁铝合金粉的最低着火温度升高;在双参数的情况下,Tmi=a0ea1d模型(a₀、a₁为参数,d为粒度,T_mi为最低着火温度)拟合结果较其他模型最优;在3个参数的情况下,T(mi)=a0+a1d+a2lg d模型(a₂为参数)拟合结果较其他模型最优。

关键词：镁铝合金粉；最低着火温度；粒度；曲线拟合

Abstract：To study the influence rule of particle size on minimum ignition temperature of magnesium-aluminum alloy powders, the Godbert-Greenwald furnace apparatus was used to measure the minimum ignition temperature of magnesium-aluminum alloy powders with different particle sizes, the experimental data were used to fit curves by choosing a variety of models. Six indexes such as coefficient of determination, standard error of estimate, total relative error, mean system error, mean prediction error, mean percent standard error were used to evaluate the models, so that the problem of no way to examin models due to less experimental data was solved and the best fitting model wsa obtained. The results show that the minimum ignition temperature increases with the increase of particle size. In the case of double parameters, the model Tmi=a0ea1d(a₀ and a₁ are parameters, d is particle size, T_mi is minimum ignition temperature) is the best fitting result. In the case of three parameters, the model Tmi=a0+a1d+a2lg d(a₂ is a parameter) is the best fitting result.

Keywords: magnesium -aluminum alloy powders；minimum ignition temperature；particle size；curve fitting