Prediction of the Bivariate Molecular Weight-Long Chain Branching Distribution in High-Pressure Low-Density Polyethylene Autoclaves
✍ Scribed by Apostolos Krallis; Prokopis Pladis; Costas Kiparissides
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 502 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1022-1344
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✦ Synopsis
Abstract
In the present study a population balance approach is described to follow the time evolution of bivariate molecular weight‐long chain branching (MW‐LCB) distributions in high pressure low density polyethylene autoclaves. The model formulation is based on a sectional grid method, the so‐called fixed pivot technique (FPT). According to this method, the ‘live’ and ‘dead’ polymer chain populations are assigned to a selected number of discrete points. Then, the resulting dynamic discrete‐continuous molar species equations for ‘live’ and ‘dead’ polymer chains are solved at the specified grid points. It is shown that a very good agreement exists between theoretical results and experimental data which proves the capability of the FPT method in calculating the joint MW‐LCB distribution for branched polymers.
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📜 SIMILAR VOLUMES
## SYNOPSIS The mean length and the indices of long-chain branches (LCBs) of a high-pressure lowdensity polyethylene (HPLDPE) as a function of molecular weight have been determined for its molecular-weight-fractionated parts by the I3C-NMR analysis and the viscosity measurements. The mean LCB leng