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The Integrated Deconvolution Estimation Model: Effect of Inter‐Laboratory 13 C NMR Analysis on IDEM Performance
Author(s) -
AlSaleh Mohammad A.,
Soares João B. P.,
Duever Thomas A.
Publication year - 2012
Publication title -
macromolecular reaction engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.37
H-Index - 32
eISSN - 1862-8338
pISSN - 1862-832X
DOI - 10.1002/mren.201100079
Subject(s) - copolymer , ethylene , carbon 13 nmr , deconvolution , olefin fiber , olefin polymerization , reactivity (psychology) , chemistry , estimation theory , materials science , catalysis , analytical chemistry (journal) , computer science , organic chemistry , algorithm , polymer , medicine , alternative medicine , pathology
The IDEM estimates the reactivity ratios of multiple‐site‐type catalysts used to make ethylene/ α ‐olefin copolymers. Analytical data from high‐temperature GPC and 13 C NMR are required in the estimation process. The CSLD information from the 13 C NMR is a crucial step in the estimation method due to NMR sensitivity and probe efficiency. The effect of inter‐laboratory analysis on IDEM parameter estimation and model predictions is studied. The copolymer samples are analyzed at the University of Waterloo and Dow Chemical Research Center at Freeport, Texas without standardization. The results prove that the IDEM is a robust parameter estimation model for ethylene/ α ‐olefin copolymers made with multiple‐site‐type catalysts, even when the copolymer samples are analyzed in different laboratories.