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LLDPE/ZnO纳米复合材料的制备工艺优化与性能
引用本文:刘佳,李顺祥,贾树盛.LLDPE/ZnO纳米复合材料的制备工艺优化与性能[J].高分子材料科学与工程,2010(9).
作者姓名:刘佳  李顺祥  贾树盛
作者单位:广东工业大学材料与能源学院;广东工业大学自动化学院;吉林大学汽车材料教育部重点实验室;
基金项目:国家重点基础研究发展规划973计划(2004CB619301)
摘    要:采用两种方法优化LLDPE/ZnO纳米复合材料的工艺参数,选取性能最佳的工艺条件制备样本,进一步应用FES-EM和SEM方法研究分散状态和断裂形貌,并测试纳米复合材料的力学性能。研究发现,正交实验、神经网络和遗传算法三者相结合的优化方法比单纯的正交实验分析的优化方法更佳;纳米ZnO微粒在线性低密度聚乙烯(LLDPE)基体中能够发挥纳米效应,促进复合材料的脆韧转变过程,起到了增强增韧的作用;拉伸强度、断裂伸长率均有所提高。纳米ZnO填充量为3%时,拉伸强度提高最大;纳米ZnO填充量为5%时,断裂伸长率提高最大。

关 键 词:线性低密度聚乙烯  纳米ZnO  优化  分散状态  断裂形貌  力学性能  

Preparation and Properties of LLDPE/Nano-ZnO Composite Material
LIU Jia,LI Shun-xiang,JIA Shu-sheng.Preparation and Properties of LLDPE/Nano-ZnO Composite Material[J].Polymer Materials Science & Engineering,2010(9).
Authors:LIU Jia  LI Shun-xiang  JIA Shu-sheng
Affiliation:LIU Jia1,LI Shun-xiang2,JIA Shu-sheng3(1. Faculty of Materials and Energy,Gangdong University of Technology,2. Faculty of Automation,Guangzhou 510006,China,3. The Key Laboratory of Automobile Materials of Jilin University,Ministry of Education,Changchun 130022,China)
Abstract:The process parameters of LLDPE/ZnO nano-composite materials were optimized based on orthogonal experiment and based on neural network of BP and genetic algorithms,respectively. Samples were prepared under the better process parameters. The dispersion morphology and the mechanical properties of material were studied by field emission scanning electron microscope (FESEM),scanning electron microscope (SEM). And the mechanical properties of LLDPE/ZnO nano-composite material were tested. It shows that the optim...
Keywords:linear low density polyethylene  nano-ZnO  optimization  dispersion morphology  fracture surface morphology  mechanical properties  
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