Next Article in Journal
Elucidating Cellular Population Dynamics by Molecular Density Function Perturbations
Next Article in Special Issue
Multivariable Real-Time Control of Viscosity Curve for a Continuous Production Process of a Non-Newtonian Fluid
Previous Article in Journal
Effect of Alkane Chain Length on Crystallization in Emulsions during Supercooling in Quiescent Systems and under Mechanical Stress
Previous Article in Special Issue
On the Thermal Self-Initiation Reaction of n-Butyl Acrylate in Free-Radical Polymerization
Open AccessFeature PaperArticle

Computational Package for Copolymerization Reactivity Ratio Estimation: Improved Access to the Error-in-Variables-Model

Institute for Polymer Research (IPR), Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
*
Author to whom correspondence should be addressed.
Processes 2018, 6(1), 8; https://doi.org/10.3390/pr6010008
Received: 12 December 2017 / Revised: 9 January 2018 / Accepted: 13 January 2018 / Published: 19 January 2018
The error-in-variables-model (EVM) is the most statistically correct non-linear parameter estimation technique for reactivity ratio estimation. However, many polymer researchers are unaware of the advantages of EVM and therefore still choose to use rather erroneous or approximate methods. The procedure is straightforward but it is often avoided because it is seen as mathematically and computationally intensive. Therefore, the goal of this work is to make EVM more accessible to all researchers through a series of focused case studies. All analyses employ a MATLAB-based computational package for copolymerization reactivity ratio estimation. The basis of the package is previous work in our group over many years. This version is an improvement, as it ensures wider compatibility and enhanced flexibility with respect to copolymerization parameter estimation scenarios that can be considered. View Full-Text
Keywords: copolymerization kinetics; copolymer composition; design of experiments; error-in-variables-model (EVM); parameter estimation; polymer reaction engineering; reactivity ratios copolymerization kinetics; copolymer composition; design of experiments; error-in-variables-model (EVM); parameter estimation; polymer reaction engineering; reactivity ratios
Show Figures

Graphical abstract

MDPI and ACS Style

Scott, A.J.; Penlidis, A. Computational Package for Copolymerization Reactivity Ratio Estimation: Improved Access to the Error-in-Variables-Model. Processes 2018, 6, 8.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop