摘要
以SiO_2为载体、癸酸-棕榈酸为相变材料,采用溶胶-凝胶法制备微米级SiO_2基相变调湿复合材料。运用均匀设计结合RBF网络优化制备参数,对最均匀粒度分布微米级SiO_2基相变调湿复合材料进行表征。结果表明:当扩散系数为0.5时,RBF网络具有最佳的逼近效果;最优制备工艺参数:溶液pH值为4.27,去离子水用量为8.58,无水乙醇用量为4.83和超声波功率为316W;最均匀粒度分布微米级SiO_2基相变调湿复合材料的d10,d50,d90分别为383.51,511.63,658.76nm,d90-d10实测值为275.25nm,实测值与预测值吻合较好,相对误差为-2.64%;最均匀粒度分布微米级SiO_2基相变调湿复合材料在相对湿度为40%~60%时,平衡含湿量为0.0925~0.1493g/g,相变温度为20.02~23.45℃,相变焓为54.06~60.78J/g。
With Si02 as the carrier, decanoic acid-palmitic acid as a phase change material, the micron SiO2-based phase change and humidity controlling composite materials were prepared by sol-gel meth-od. The scheme was optimized by uniform design in a combination with RBF neural network to opti-mizing preparation of micron Si02-based phase change and humidity controlling composite materials. The performance of micron Si02-based phase change and humidity controlling composite materials with optimal uniform particle size distribution were tested and characterized. The results show that RBF neural network has the best approximation effect, when spread is 0. 5; optimization technology parameters are solution pH value 4. 27, amount of deionized water （mole ratio between deionized wa-ter and tetraethyl orthosilicate） is 8. 58, amount of absolute alcohol （mole ratio between absolute alco-hol and tetraethyl orthosilicate） is 4. 83 and ultrasonic wave power is 316W; micron S i0 2-based phase change and humidity controlling composite materials with optimal uniform particle size distribution？ diQ is 383. 51nm, d 5〇 is 511. 63nm and d 90 is 658. 76nm, measured value of d 90 -J 10 is 275. 25nm, the measured value and the predicted value are in good agreement （relative error is -2. 64%） ; micron Si02-based phase change and humidity controlling composite materials with optimal uniform particle size distribution？ equilibrium moisture content in the relative humidity of i0%-60% is 0. 0925-0. 1493g/g, phase transition temperature is 20. 02-23. 45℃ and phase change enthalpy is 54. 06-60. 78J/g.
出处
《材料工程》
EI
CAS
CSCD
北大核心
2017年第8期24-29,共6页
Journal of Materials Engineering
基金
国家自然科学基金青年基金资助项目(51206002)
高等学校优秀青年人才基金项目(2010SQRL034)
关键词
激光粒度
RBF神经网络
纳米级SiO2基相变调湿复合材料
均匀粒度分布
优化制备
laser particle size（LPS）
RBF neural network
micron Si02-based phase change and humidi-ty controlling composite
uniform particle size distribution
optimizing preparation
