以正硅酸乙酯、磷酸二氢铵、尿素、季戊四醇、氯化镧制备复合阻燃剂.研究氯化镧添加量对复合阻燃剂结构的影响规律,通过傅里叶红外光谱分析氯化镧增效机理,研究结构参数与性能的复合阻燃剂性能优选预测模型,通过小波分析理论与BP神经网络拟合各结构参数与性能的关系.结果表明,氯化镧对复合阻燃剂具有增效效果;当氯化镧添加量0.033时,复合阻燃剂性能最优;性能优选预测模型的预测值与实测值吻合较好,其相对误差为-3.80％ ～ 3.28％.
Flame retardant composite was prepared with tetraethyl orthosilicate,ammonium dihydrogen phosphate,urea,pentaerythritol and lanthanum chloride.Influence regulations of amount lanthanum chloride on structure of flame retardant composite was researched,and the synergistic mechanism of lanthanum chloride was analyzed by FTIR.Optimization performance forecast model for flame retardant composite was estabilished,and the relationship of structure parameters and performance was fitted by wavelet analysis and back-propagation neural network.The results show that lanthanum chloride has synergistic effect o flame retardant composite;the best performance of flame retardant composite was obtained with 0.033 lanthanum chlorid.Predicted data with optimization performance forecast model agree well with the experimental data,and the relative error is-3.80％ ～ 3.28％.
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