Research Of Technological Properties Of The Styrene-Butadiene Rubber By The Method Of Mathematical Modeling
DOI:
https://doi.org/10.36097/rsan.v0i36.1207Palabras clave:
copolymerization, styrene-butadiene rubber, mooney viscosity, modeling, monte carlo methodResumen
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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Averko-Antonovich, I.Yu. & Bikmullin, R.T. (2002). Methods for studying the structure and properties of polymers. Kazan State Technological University, Kazan.
Kramer, O. & Good, W.R. (1972). Correlating Mooney Viscosity to Average Molecular Weight. Journal of Applied Polymer Science, 16, 2677-2684.
Medvedeva, O., Mustafina, S., Mikhailov, V., Mikhailova, T. & Mustafina, S. (2018). Application of Monte Carlo Method in the Construction of Copolymerization Process Modeling Algorithm for the Continuous Mode in the Reactors Cascade. Proceedings of IEEE East-West Design & Test Symposium (EWDTS’2018), 209-212.
Mikhailova, T.A., Miftakhov, E.N., & Mustafina, S.A. (2016). Simulation of co-polymerization processes. In: Kochnev, A.M., Stoyanov, O.V., Zaikov, G.E. and Akhmetkhanov, R.M. (eds) Compositional Analysis of Polymers: An Engineering Approach. Apple Academic Press, Oakville, pp. 265-272.
Mikhailova, T., Miftakhov, E. & Mustafina, S. (2016). Mathematical Simulation of the Styrene-Butadiene Rubber’s Production in the Cascade of Reactors by the Monte-Carlo Method. International Journal of Chemical Sciences, 14(4), 1865-1876.
Mustafina, S., Mikhailova, T. & Miftakhov, E. (2015). Mathematical Study of the butadiene-styrene copolymerization product by the Monte-Carlo method. International Journal of Chemical Sciences, 13(2), 849-856.
Smith, B.R. (1956). Measurement of Molecular Weight Distribution of SBR and Prediction of Rubber Processability. Trans. Faraday Soc., 2, 1286-1291.
