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This article is cited in 1 scientific paper (total in 1 paper)
The inverse algorithm of imitation of radical polymerization by the Monte-Carlo method
V. M. Yanborisova, A. A. Sultanovaa, S. V. Kolesovb a Ufa state Petroleum Technological University (Ufa)
b Ufa Institute of Chemistry RAS (Ufa)
Abstract:
A software simulation algorithm of radical polymerization by the Monte Carlo method was designed
and implemented. This research aims to develop software for modeling chemical-initiated
and thermal-chemical-initiated radical polymerization using the Monte Carlo method with allowance
for the Hui–Hamielec gel effect model.
The developed software allows with acceptable cost of computer time to simulate the process of
classical radical polymerization based on the gel effect. Created program allows calculating the
conversion of monomer, change in the molecular weight and molecular weight distribution,
monitoring the concentration of intermediates, etc. The advantage of the modeling algorithm is
the ease of the calculating units’ inclusion to simulate other reactions, which is extremely important
because of the high interest to the non-classical radical polymerization processes (pseudoliving).
This program was tested on the asymptotic examples and modeling of polymerization
of methyl methacrylate and styrene in a mass. Correctness of the algorithm and software is
proved in the simulation of the chemical and thermal initiation, chain propagation, chain transfer
to monomer, disproportion and recombination of macro radicals taking into account the gel effect
in comparison with the experimental and literature data.
Keywords:
Monte-Carlo method, gel effect, methyl methacrylate, bulk radical polymerization.
Received: 20.10.2014
Citation:
V. M. Yanborisov, A. A. Sultanova, S. V. Kolesov, “The inverse algorithm of imitation of radical polymerization by the Monte-Carlo method”, Matem. Mod., 28:4 (2016), 3–15
Linking options:
https://www.mathnet.ru/eng/mm3716 https://www.mathnet.ru/eng/mm/v28/i4/p3
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Abstract page: | 424 | Full-text PDF : | 233 | References: | 48 | First page: | 13 |
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