Detection of HDPE properties by Raman spectrum based on partial least square
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Detection of HDPE properties by Raman spectrum based on partial least square
CIESC JournalIssue 9, Pages: 2365-2371(2009)
作者机构:
化学工程国家重点实验室(浙江大学),浙江大学化学工程与生物工程学系
作者简介:
基金信息:
DOI:
CLC:
Online First:05 September 2009,
Published:05 September 2009
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CHEN Jiexun, WANG Jingdai, YANG Yongrong. Detection of HDPE properties by Raman spectrum based on partial least square[J]. CIESC Journal, 2009, (9): 2365-2371.
DOI:
CHEN Jiexun, WANG Jingdai, YANG Yongrong. Detection of HDPE properties by Raman spectrum based on partial least square[J]. CIESC Journal, 2009, (9): 2365-2371.DOI:
Detection of HDPE properties by Raman spectrum based on partial least square
Density and melt index (MI) are the most important properties of high density polyethylene (HDPE) in industrial manufacturing.In this work
density and MI of commercial grade HDPE were detected by Raman spectrum
based on the partial least squares (PLS) method.The short-branch degree was found to be inversely proportional to the density
according to the PLS analysis of the characterization spectra in the range 2700—2970 cm-1.A regression model between short-branch degree and density was built up.The correlation coefficient (r)
average relative deviation (ARD) and standard error of the prediction (SEP) for density prediction were 0.950
0.09% and 1.02
respectively.And the density regression model gave a better result than those obtained by near-infrared spectrum and Raman spectrum based on phase structure analysis.Furthermore
the vinyl content was found to be proportional to the MI value.A regression model between vinyl content and the MI of HDPE was established by analyzing the characterization spectra in the range from 1288 cm-1 to 1650 cm-1.And the values of r
ARD and SEP for MI prediction were 0.966
8.61% and 0.99
respectively.Comparing with the results measured by near-infrared spectrum
Raman spectrum showed higher precision for MI estimation.