Research Of Technological Properties Of The Styrene-Butadiene Rubber By The Method Of Mathematical Modeling
On the basis of production experiments and analysis of literary sources, the influence of molecular weight on the resulting copolymers on one of the important technological parameters of synthetic rubber - Mooney viscosity was established. In this paper a dependence is obtained that relates the Moon...
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| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2019 |
| País: | Ecuador |
| Recursos: | Universidad San Gregorio de Portoviejo |
| Repositório: | Revista Universidad San Gregorio de Portoviejo |
| Idioma: | inglês |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/1207 |
| Acesso em linha: | https://revista.sangregorio.edu.ec/index.php/REVISTASANGREGORIO/article/view/1207 |
| Access Level: | Acceso aberto |
| Palavra-chave: | copolymerization styrene-butadiene rubber mooney viscosity modeling monte carlo method |
| Resumo: | On the basis of production experiments and analysis of literary sources, the influence of molecular weight on the resulting copolymers on one of the important technological parameters of synthetic rubber - Mooney viscosity was established. In this paper a dependence is obtained that relates the Mooney viscosity and the molecular weight characteristics of the resulting product – the number-average and weight-average molecular weight. Molecular weight characteristics were determined by the modeling of the copolymerization process on the basis of Monte Carlo method. In this paper, we obtained a dependence linking the molecular weight characteristics of the resulting styrene-butadiene copolymer and the Mooney viscosity of the rubber specimen. For the derivation, the logarithmic regression dependence was used, which was applied to the results of modeling the process of styrene-butadiene copolymerization carried out in accordance with the conduct of this process in an industrial environment. The deviation of the data obtained as a result of applying the derived dependence to the simulation results from the production was no more than 8%. |
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