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基于30m~3聚合釜的纳米CaCO_3原位聚合PVC树脂颗粒特性预测与优化
引用本文:夏陆岳,韩金铭,韩和良,蔡亦军,潘海天.基于30m~3聚合釜的纳米CaCO_3原位聚合PVC树脂颗粒特性预测与优化[J].聚氯乙烯,2010,38(1):23-25.
作者姓名:夏陆岳  韩金铭  韩和良  蔡亦军  潘海天
作者单位:1. 浙江工业大学化学工程与材料学院,浙江,杭州,310032
2. 浙江巨化股份有限公司电化厂,浙江,衢州,324004
3. 杭州华纳化工有限公司,浙江,杭州,310006
摘    要:通过微乳化分散技术使CaCO3实现良好分散,通过氯乙烯原位悬浮聚合制得了纳米CaCO3微乳化法原位聚合PVC树脂(简称纳米PVC树脂)。为解决纳米PVC树脂的颗粒形态控制难题,提出了基于组合神经网络的软测量方法,建立了纳米PVC树脂颗粒特性的软测量预测模型,应用效果表明该软测量模型能较准确地预测纳米PVC树脂的平均粒径。利用该软测量预测模型在30 m3聚合釜上实现了纳米PVC树脂颗粒特性优化,制得具有较理想颗粒特性的纳米PVC树脂。

关 键 词:PVC树脂  纳米碳酸钙  颗粒特性  组合神经网络  预测  优化

Prediction and optimization of the particle characteristics of PVC manufactured by in-situ polymerization of nano-CaCO3 in 30 m3 polymerizers
XIA Luyue,HAN Jinming,HAN Heliang,CAI Yijun,PAN Haitian.Prediction and optimization of the particle characteristics of PVC manufactured by in-situ polymerization of nano-CaCO3 in 30 m3 polymerizers[J].Polyvinyl Chloride,2010,38(1):23-25.
Authors:XIA Luyue  HAN Jinming  HAN Heliang  CAI Yijun  PAN Haitian
Affiliation:1.College of Chemical Engineering and Materials Science;Zhejiang University of Technology;Hangzhou 310014;China;2.Electrochemical Factory;Zhejiang Juhua Co.;Ltd.;Quzhou 324004;3.Hangzhou Huana Chemical Co.;Hangzhou 310006;China
Abstract:Nano-CaCO3 in-situ polymerization PVC resin(nano-PVC resin) was manufactured by in-situ polymerization of vinyl chloride with nano-CaCO3 which was well dispersed by microemulsion dispersion techniques.To resolve the difficult problems of controlling the particle morphology of nano-PVC resin,a soft-measuring method based on combined neural networks was provided,and thus a soft-measuring prediction model for nano-PVC particle characteristics was developed.The application results showed that the soft-measuring...
Keywords:PVC resin  nano-CaCO3  particle characteristics  combined neural network  prediction  optimization  
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