Mathematical Modeling of Nylon 6/6,6 Copolymerization: Beneficial Influence of Comonomers on Degree of Polymerization in Batch Reactor
A model is developed for hydrolytic copolymerization of caprolactam with hexamethylene diamine (HMD) and adipic acid (ADA) in a batch reactor to produce nylon 6/6,6 copolymer. The reaction mechanism includes hydrolysis of caprolactam and cyclic dimer, polycondensation, polyaddition, transamidation,...
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Veröffentlicht in: | Macromolecular reaction engineering 2017-10, Vol.11 (5), p.n/a |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | A model is developed for hydrolytic copolymerization of caprolactam with hexamethylene diamine (HMD) and adipic acid (ADA) in a batch reactor to produce nylon 6/6,6 copolymer. The reaction mechanism includes hydrolysis of caprolactam and cyclic dimer, polycondensation, polyaddition, transamidation, and ring formation via end biting and back biting. The catalyzing effect of carboxyl groups is accounted for using kinetic parameters from the literature. Model predictions are compared with low‐temperature literature data before simulating reactor conditions of industrial interest. The model predicts a higher degree of polymerization (DP) for nylon 6/6,6 copolymer compared to nylon 6 and 6,6 homopolymers produced using the same reactor conditions. Dynamic changes in concentrations of water, caprolactam, HMD, ADA, and end groups are tracked and used to explain the positive influence of comonomers on reaction rates and DP. Insights gained from this model will form a useful basis to build future models of continuous industrial reactors.
A batch reactor model is developed to describe copolymerization of caprolactam with hexamethylene diamine and adipic acid. Probability factors are introduced to make the model equations relatively simple. Comparisons between simulations of nylon 6/6,6 copolymerization and nylon 6 and 6,6 homopolymerizations show beneficial influences of comonomers on degree of polymerization. |
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ISSN: | 1862-832X 1862-8338 |
DOI: | 10.1002/mren.201700002 |