Factor Analysis of the Styrene Polymerization Kinetics. Statistical Verification of the Procedure

Article ID

SFR0I238

Factor Analysis of the Styrene Polymerization Kinetics. Statistical Verification of the Procedure

V.P. Savelvanov
V.P. Savelvanov University of Chemical Technology of Russia
DOI

Abstract

Statistical verification of operations used earlier for kinetics experimental data treatment of the styrene suspension polymerization performed on the one of known kinetics model. Internal standard times matrix for different conversions found to have only two statistically significant eigenvalues. Therefore, they may be considerate as plains and easily described to give equation for its dependence from initial condition needed for dimensionless time scale definition. Conversion vectors dependence on the later forms sets of very closely curves. They may be considerate as stochastic realization of the one common curve what follows from its non parametric statistical comparison. Final single curve finds by uniting and sorting operation of its values. That operation gives one plain common curve described by empirical equation with small set of the empirical parameters needed, considerably less than in existing models. Procedure is convenient and robust.

Factor Analysis of the Styrene Polymerization Kinetics. Statistical Verification of the Procedure

Statistical verification of operations used earlier for kinetics experimental data treatment of the styrene suspension polymerization performed on the one of known kinetics model. Internal standard times matrix for different conversions found to have only two statistically significant eigenvalues. Therefore, they may be considerate as plains and easily described to give equation for its dependence from initial condition needed for dimensionless time scale definition. Conversion vectors dependence on the later forms sets of very closely curves. They may be considerate as stochastic realization of the one common curve what follows from its non parametric statistical comparison. Final single curve finds by uniting and sorting operation of its values. That operation gives one plain common curve described by empirical equation with small set of the empirical parameters needed, considerably less than in existing models. Procedure is convenient and robust.

V.P. Savelvanov
V.P. Savelvanov University of Chemical Technology of Russia

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V.P. Savelvanov. 2015. “. Global Journal of Science Frontier Research – A: Physics & Space Science GJSFR-A Volume 15 (GJSFR Volume 15 Issue A1): .

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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR Volume 15 Issue A1
Pg. 55- 59
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GJSFR-A Classification: FOR Code: 249999p
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Factor Analysis of the Styrene Polymerization Kinetics. Statistical Verification of the Procedure

V.P. Savelvanov
V.P. Savelvanov University of Chemical Technology of Russia

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