## Abstract Summary: In copolymerization systems with implicit penultimate effect, there are two radical reactivity ratios, __s~a~__ and __s~b~__, which influence the reaction kinetics in addition to the monomer reactivity ratios, __r~a~__ and __r~b~__, which govern the copolymer composition. Here,
An Error-in-Variables Method for Determining Reactivity Ratios by On-Line Monitoring of Copolymerization Reactions
✍ Scribed by Didem Sünbül; Huceste Çatalgil-Giz; Wayne Reed; Ahmet Giz
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 142 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1022-1344
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✦ Synopsis
Abstract
Summary: A new error‐in‐variables method was developed to estimate the reactivity ratios in copolymerization systems. It brings the power of automatic, continuous, on‐line monitoring of polymerization (ACOMP) to copolymerization calculations. In ACOMP systems, monomer and polymer concentrations are measured by the monitoring of two independent properties of the system. The reactivity ratios are found by taking into account errors in the monomer concentrations determined from measurements and from calibration of the instruments. All the error sources are taken into account according to the error‐in‐variables method, and their effects are reflected in determining the confidence intervals of the reactivity ratios by the usual error propagation technique.
Distribution of concentrations [a] and [b] for the simulated experiment I. Random errors are 1% of the initial value in both observed variables.
imageDistribution of concentrations [a] and [b] for the simulated experiment I. Random errors are 1% of the initial value in both observed variables.
📜 SIMILAR VOLUMES
Two new error-in-variables methods to estimate the reactivity ratios are developed. These are based on variants of the Skeist solution of the copolymerization equation. One method is suitable when one of the reactivity ratios is close to one and the other is for use when both ratios are close to one