首页 | 本学科首页   官方微博 | 高级检索  
     

基于FTIR和RBF网络的二元脂肪酸/SiO2相变储湿复合材料热湿性能优选预测
引用本文:宗志芳,陈德鹏,卜双双.基于FTIR和RBF网络的二元脂肪酸/SiO2相变储湿复合材料热湿性能优选预测[J].复合材料学报,2018,35(8):2246-2251.
作者姓名:宗志芳  陈德鹏  卜双双
作者单位:1. 安徽工业大学 建筑工程学院, 马鞍山 243032; 2. 西安建筑科技大学 材料与矿资学院, 西安 710055
摘    要:采用溶胶-凝胶法制备二元脂肪酸(BFA)/SiO2相变储湿复合材料,既具有相变调温性能,又具有储湿调湿性能,还能满足无机材料的相容性。研究溶液pH值、超声波功率、去离子水用量、无水酒精用量及BFA用量对BFA/SiO2相变储湿复合材料结构的影响规律,通过FTIR分析BFA/SiO2相变储湿复合材料的嵌合机制。通过RBF网络,研究BFA/SiO2相变储湿复合材料的结构参数与热湿性能优选预测模型。结果表明:BFA/SiO2相变储湿复合材料中BFA与SiO2仅仅是物理嵌合。最优热湿性能的BFA/SiO2相变储湿复合材料制备工艺参数:pH值为3.64、超声波功率为120 W、去离子水用量为1.45 mol、无水乙醇用量为0.78 mol和BFA用量为0.079 mol。预测结果:30%相对湿度(RH)~90% RH湿容量为0.1676 g/g、相变焓为41.89 J/g。测试结果:30% RH~90% RH湿容量为0.1653 g/g、相变焓为41.22 J/g。

关 键 词:傅里叶红外光谱  相变储湿  RBF网络  性能预测  热湿性能  
收稿时间:2017-07-24

Optimization thermal-humidity performance forecast of binary fatty acid/SiO2 phase change humidity storage composite materials by FTIR and RBF neural network
ZONG Zhifang,CHEN Depeng,BU Shuangshuang.Optimization thermal-humidity performance forecast of binary fatty acid/SiO2 phase change humidity storage composite materials by FTIR and RBF neural network[J].Acta Materiae Compositae Sinica,2018,35(8):2246-2251.
Authors:ZONG Zhifang  CHEN Depeng  BU Shuangshuang
Affiliation:1. School of Civil Engineering and Architecture, Anhui University of Technology, Ma'anshan 243032, China; 2. College of Materials and Mineral Resources, Xi'an University of Architecture and Technology, Xi'an 710055, China
Abstract:Binary fatty acid(BFA)/SiO2 phase change humidity storage composite materials were prepared by sol-gel method, which have phase change thermal control performance, humidity storage humidity control performance and can meet the compatibility with inorganic materials. The influence regulations of solution pH value, ultrasonic wave power, deionized water amount, absolute alcohol amount and BFA amount on structure of BFA/SiO2 phase change humidity storage composite materials were studied. The chimeric mechanism of BFA/SiO2 phase change humidity storage composite materials were analyzed by FTIR. The structure parameters and thermal-humidity performance in optimization performance forecast model of BFA/SiO2 phase change humidity storage composite materials were studied by RBF neural network. The results show that the interaction between BFA and SiO2 is only physical chimeric in BFA/SiO2 phase change humidity storage composite materials. The preparation process parameters of BFA/SiO2 phase change humidity storage composite materials with optimal thermal-humidity performance:solution pH value is 3.64, ultrasonic wave power is 120 W, deionized water amount is 1.45 mol, absolute alcohol amount is 0.78 mol and BFA amount is 0.079 mol. Predicted results:moisture capacity in 30% relative humidity(RH)~90%RH is 0.1676 g/g, phase change enthalpy is 41.89 J/g; Test results:moisture capacity in 30%RH~90%RH is 0.1653 g/g, phase change enthalpy is 41.22 J/g.
Keywords:fourier transform infrared spectrum  phase change humidity storage  RBF neural network  performance forecast  thermal-humidity performance  
本文献已被 CNKI 等数据库收录!
点击此处可从《复合材料学报》浏览原始摘要信息
点击此处可从《复合材料学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号