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以SiO2为载体、脂肪酸为相变材料制备SiO2基相变调湿复合材料,运用均匀实验设计结合BP神经网络优化制备参数,对最优材料进行表征,建立了优化制备工艺与综合相变调湿性能的BP神经网络模型.结果表明,最优制备条件为溶液p H值为3.63、超声波功率100 W、去离子水与正硅酸乙酯物质的量比9.71、无水乙醇与正硅酸乙酯物质的量比5.18、脂肪酸与正硅酸乙酯物质的量比0.51;最优SiO2基相变调湿复合材料在相对湿度97.30%时的平衡含湿量为0.3057 g/g,从30℃到15℃的降温时间为1445 s,综合相变调湿性能为1.6014,实验结果与模型预测值吻合较好,相对误差为-1.70%~1.89%.脂肪酸包覆于SiO2的网络孔隙结构中形成最优SiO2基相变调湿复合材料,粒径主要分布在约100 nm.验证了利用二次回归方程对均匀设计实验的分析成果.
SiO 2 -based phase-change humidity-controlling composites were prepared by using SiO 2 as the carrier and fatty acid as the phase change material. The optimum preparation parameters were optimized by uniform experimental design combined with BP neural network. The optimized preparation process and the phase change humidity control Performance of the BP neural network model.The results show that the optimum preparation conditions for the solution p H value of 3.63, ultrasonic power 100 W, deionized water and tetraethyl orthosilicate ratio of 9.71, absolute ethanol and TEOS The ratio of the amount of ester material to the amount of 5.18, and the ratio of fatty acid to tetraethoxysilane material was 0.51; the equilibrium moisture content of the optimal SiO 2 phase-change humidity-controlling composite at a relative humidity of 97.30% was 0.3057 g / g, The cooling time to 15 ℃ is 1445 s, and the comprehensive phase change humidity control performance is 1.6014. The experimental results are in good agreement with the model predictions, with the relative error of -1.70% ~ 1.89%. Fatty acids are coated in the network pore structure of SiO2 The optimal SiO2-based phase-change humidity-controlling composites are mainly distributed at about 100 nm.The analytical results of uniform design experiments using quadratic regression equations are validated.