Optimizing Preparation of Micron SiO<sub>2</sub>-based Phase Change and Humidity Controlling Composites with Uniform Particle Size Distribution Based on RBF Neural Network

Optimizing Preparation of Micron SiO<sub>2</sub>-based Phase Change and Humidity Controlling Composites with Uniform Particle Size Distribution Based on RBF Neural Network

With SiO<sub>2</sub> as the carrier, decanoic acid-palmitic acid as a phase change material,the micron SiO<sub>2</sub>-based phase change and humidity controlling composite materials were prepared by sol-gel method. The scheme was optimized by uniform design in a combination...

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Bibliographic Details
Main Author: ZHANG Hao
Format: Article
Language:zho
Published: Journal of Materials Engineering 2017-08-01
Series:Cailiao gongcheng
Subjects:
laser particle size(LPS)
RBF neural network
micron SiO<sub>2</sub>-based phase change and humidity controlling composite
uniform particle size distribution
optimizing preparation
Online Access:http://jme.biam.ac.cn/CN/Y2017/V45/I8/24

Internet

http://jme.biam.ac.cn/CN/Y2017/V45/I8/24

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