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Correlating Polymer Parameters to the Entire Molecular Weight Distribution: Application to the Melt Index

✍ Scribed by Márcio Nele; Andréa Latado; José Carlos Pinto

Publisher
John Wiley and Sons
Year
2006
Tongue
English
Weight
237 KB
Volume
291
Category
Article
ISSN
1438-7492

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✦ Synopsis

Abstract

Summary: A method that takes into account the entire molecular weight distribution (MWD) for the prediction of polymer point properties and/or indexes is presented. The method is based on the convolution of the polymer mass molecular weight distribution and an empirical kernel function. Thus, the problem of relating the polymers properties to the MWD is reduced to the estimation of this empirical function. The proposed methodology is able to successfully predict melt indexes (MI) of a set of poly(propylene) samples.
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A Simple Access to the (Log/Normal) Mole
A Simple Access to the (Log/Normal) Molecular Weight Distribution Parameters of Polymers Using PGSTE NMR
✍ Xiaoliang Gong; Eddy W. Hansen; Qun Chen 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 504 KB

A log/normal MWD is characterized by two parameters, its mean molecular weight M 0 and width s. It is demonstrated how these parameters can be obtained by model fitting a stretched exponential function (SEF), as characterized by two parameters b and D S , to the PGSTE response curve. Based on simula