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Modeling of the bivariate molecular weight distribution-copolymer composition distribution in RAFT copolymerization using probability generating functions

Fortunatti, Cecilia et al · Elsevier Science · 2017

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Author / responsible party
Fortunatti, Cecilia et al
Publisher
Elsevier Science
Year
2017
ISSN
0927-0256
ISSN
0927-0256
Language
English

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In this work, we develop a mathematical model of a RAFT copolymerization process able to predict average molecular properties as well as the full bivariate molecular weight distribution – copolymer composition distribution (MWD-CCD) of the copolymer. This model takes into account the three main kinetic theories proposed in the literature. The bivariate MWD-CCD is obtained by means of the 2D probability generating function (pgf) technique. This modeling technique can be used without any simplifying assumptions or a priori knowledge of the distribution shape. The results highlight the advantages of simulation as a powerful tool to get insight in the relationship between operating conditions and molecular structure. Fil: Fortunatti, Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina Fil: Sarmoria, Claudia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina

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APA 7

Fortunatti, C. E. A. (2017). Modeling of the bivariate molecular weight distribution-copolymer composition distribution in RAFT copolymerization using probability generating functions. http://hdl.handle.net/11336/64829

MLA

Fortunatti, Cecilia et al. "Modeling of the bivariate molecular weight distribution-copolymer composition distribution in RAFT copolymerization using probability generating functions." 2017. http://hdl.handle.net/11336/64829.

Chicago

Fortunatti, Cecilia et al. 2017. "Modeling of the bivariate molecular weight distribution-copolymer composition distribution in RAFT copolymerization using probability generating functions.". http://hdl.handle.net/11336/64829.

Harvard

Fortunatti, C. E. A. 2017, Modeling of the bivariate molecular weight distribution-copolymer composition distribution in RAFT copolymerization using probability generating functions, Elsevier Science, available at: http://hdl.handle.net/11336/64829 [Accessed 8 Aug. 2026].

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Title
Modeling of the bivariate molecular weight distribution-copolymer composition distribution in RAFT copolymerization using probability generating functions
Author / contributors
Fortunatti, Cecilia et al
Publisher
Elsevier Science
Publication year
2017
ISSN
0927-0256
ISSN
0927-0256
Language
English

Subjects

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Copolymerization; Modeling; Molecular Weight Distribution (Mwd); Probability Generating Function (Pgf); Reversible Addition Fragmentation Chain Transfer (Raft); https://purl.org/becyt/ford/2.4; https://purl.org/becyt/ford/2
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