聚合物振动挤出多元非线性混合辨识模型研究  

Study on Polymer Vibration Extrusion Multivariate Nonlinear Hybrid Identification Model

作　　者：陈学锋[1] 徐言生[1] 胡建国[1] 许中明[1] 殷小春 

机构地区：[1]顺德职业技术学院机电工程学院,广东顺德528300 [2]华南理工大学聚合物新型成型装备国家工程研究中心聚合物成型加工工程教育部重点实验室,广东广州510640

出　　处：《塑料科技》2015年第2期27-32,共6页Plastics Science and Technology

基　　金：广东省自然科学基金资助项目(S2012010010199);(华南理工大学)聚合物成型加工工程教育部重点实验室开放课题基金资助项目(2012001);佛山市科技专项创新基金项目资助(2013AG100063);顺德区容桂科技计划项目(RGKJJH2013008)

摘　　要：针对聚合物振动挤出加工过程输入输出参数较多、机理建模难度大的特点,基于正交试验,提出一种混合辨识建模法,分别建立了线型低密度聚乙烯(LLDPE)和聚丙烯(PP)在螺杆振动挤出时,输出参数(挤出功率、胀大比、压力)与输入因子(口模、螺杆转速、振幅、频率)间关系的多元非线性数学模型,并进行了实验验证。According to the characteristics of more input and output parameters of polymer vibration extrusion process and difficulty in mechanism modeling, based on orthogonal experiment, a hybrid identification modeling method was proposed. When linear low density polyethylene （LLDPE） and polypropylene （PP） were in the screw vibration extrusion, multivariate nonlinear mathematical models were established, which were the relationship between the outputs as power, press and inflation, the inputs as screw speed, frequency and amplitude. The experiments were made to verify the establishment.

关 键 词：振动挤出 正交试验 多元非线性 混合辨识 模型 

分 类 号：TQ320.663[化学工程—合成树脂塑料工业]