Application of support vector regression for optimization of vibration flow field of high-density polyethylene melts characterized by small angle light scattering

摘要：

　　In this paper,the vibration flow field parameters of polymer melts in a visual slit die are optimized by using intelligent algorithm.Experimental small angle light scattering(SALS)patterns are shown to characterize the processing process.In order to capture the scattered light,a polarizer and an analyzer are placed before and after the polymer melts.The results reported in this study are obtained using high-density polyethylene(HDPE)with rotation speed at 28 rpm.In addition,support vector regression(SVR)analytical method is introduced for optimization the parameters of vibration flow field.This work establishes the general applicability of SVR for predicting the optimal parameters of vibration flow field.

作者: Guangming Xian

作者单位: School of software,South China Normal University,Foshan 528225,China

会议类型: 国际会议

会议名称: The 1st International Symposium on Application of Materials Science and Energy Materials (SAMSE 2017)

会议地点: 上海

会议语种:英文

页码: 1-7

在线出版日期: 2017-12-28（万方平台首次上网日期，不代表论文的发表时间）