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.
出处
《塑料科技》
CAS
北大核心
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)
关键词
振动挤出
正交试验
多元非线性
混合辨识
模型
Vibration extrusion
Orthogonal experiment
Multivariate nonlinear
Hybrid identification
Model
