z-logo
open-access-imgOpen Access
Improved methods of estimating monomer reactivity ratios in copolymerization by considering experimental errors in both variables
Author(s) -
Van Der Meer R.,
Linssen H. N.,
German A. L.
Publication year - 1978
Publication title -
journal of polymer science: polymer chemistry edition
Language(s) - English
Resource type - Journals
eISSN - 1542-9369
pISSN - 0360-6376
DOI - 10.1002/pol.1978.170161117
Subject(s) - copolymer , reactivity (psychology) , monomer , set (abstract data type) , reliability (semiconductor) , computer science , mathematics , algorithm , chemistry , thermodynamics , polymer , organic chemistry , physics , medicine , power (physics) , alternative medicine , pathology , programming language
Existing methods of calculating monomer reactivity ratios in copolymerization are reviewed briefly, evaluated, and classified according to their mathematical and computational similarities. More attention is paid to procedures based on the integrated copolymer equation with which calculation of r values is performed most often by electronic computer. Unfortunately, until now all procedures have shown shortcomings because the real‐error structure of the observations has not been taken into account. A new algorithm that does account correctly for measurement errors in both variables is described. A computational method is illustrated for copolymerization data obtained from quantitative gas chromatographic analysis of the monomer feed throughout the reaction. It is shown that the actual error structure of the variables corresponds to the assumed error structure. Reliability of the estimates is substantially increased, compared with the existing methods. Standard deviations of the monomer reactivity ratios are given and appear to be in good agreement with reality.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom