作　　者： ; ; ;

机构地区： 吉林大学材料科学与工程学院汽车材料教育部重点实验室

出　　处： 《高分子材料科学与工程》 2008年第4期147-150,共4页

摘　　要： 采用两种方法优化EVA/TiO2纳米复合材料的制备方法与工艺参数,选取性能最佳的一步法制备样本,进一步应用FESEM方法表征纳米粒子的粒径及分散状态,并测试材料力学性能。研究发现,基于神经网络和遗传算法的优化方法比正交实验分析优化方法更佳;纳米TiO2微粒在EVA基体中分散良好,拉伸强度、断裂伸长率和弹性模量均有所提高,起到了增强增韧作用。纳米TiO2填充量为5%时,拉伸强度提高最多;纳米TiO2填充量为1%时,断裂伸长率提高最多;随着纳米TiO2填充量的增加,弹性模量整体呈上升趋势。 The process parameters of EVA / nano-TiO2 composite materials were optimized based on two methods, respectively. Samples were prepared by the best one-step method. The dispersion morphology and the mechanical properties of material were studied. It shows that the optimization method based on neural network of BP and genetic algorithms is better than that optimization method based on orthogonal experiment. Nano-TiO2 particles are well-distributed in EVA matrix. The tensile strength, fracture elongation rate and modulus of elasticity of nano-composite material are improved, which results in the effect of reinforcing and toughening. The tensile strength is the highest when nano-TiO2 amount is five percent. The fracture elongation rate is the highest when nano-TiO2 amount is one percent. The modulus of elasticity tend to increase, with the rise of nano-TiO2 amount.

关 键 词： 纳米 优化 分散状态 力学性能

领　　域： [一般工业技术]