Direct Modeling of Chemical Processes in Conditions of Uncertainty of Initial Data

  • Authors

    • Olga A. Medvedeva
    • Sofya I. Mustafina
    • Igor V. Grigoryev
    • Svetlana A. Mustafina
    https://doi.org/10.14419/ijet.v7i3.27.18493
  • interval analysis, kinetic parameters, optimal two-sided solution.
  • Abstract

    The paper studies the influence of uncertainty in kinetic parameters on the results of solving the direct problem of chemical kinetics. The direct problem of chemical kinetics is a calculation of multicomponent reacting-mix composition and speed of reaction on the basis of the set mathematical model with known parameters. Kinetic data are represented in intervals and are considered as objects of interval analysis. The computational experiment was carried out for the reactions proceeding without the change of reaction volume (reaction of reception of phthalic anhydride) and taking into account its change (reaction of oligomerization of α-methylstyrene). On the basis of methods of interval analysis the boundaries of solution of the direct problem of chemical kinetics caused by interval representation of kinetic parameters are obtained. In the example of reaction of oligomerization of α-methylstyrene, during which there is a change of the number of moles of a reaction mixture, and reaction of reception of phthalic dioxide flowing with constant reaction volume, various ways of construction are considered in interval expansion of the right parts of the differential equations that determine the type of kinetic model of the reactions studied.

     

     

  • References

    1. [1] S.P. Shary, Finite-dimensional interval analysis, Novosibirsk, 606 p, 2013.

      [2] V.A. Vaytiev, S.Ð. Mustafina, Searching of areas of kinetic parameters uncertainty of mathematical models of chemical kinetics on the basis of interval arithmetic, Bulletin of the South Ural State University, vol.7, â„–2. pp. 99-110, 2013.

      [3] A.G. Khaydarov, V.N. Chepikova, V.A. Kholodnov, E.S. Borovinskaya, V.P. Reshetilovskiy, Research of sensitivity of kinetic parameters of biocatalytic process with use of an interval method, News of the St. Petersburg state institute of technology (technical university), â„–14, pp. 112-114, 2012.

      [4] P.A. Plaul, I.S. Fuks, To a question of calculation of optimum temperature sequence of the reactor of ideal replacement by method of dynamic programming, Works III of All-Union conference on chemical reactors, Novosibirsk-Kiev, p. II, pp. 244-246, 1970.

      [5] R.J. Field, R.M. Noyes, “Oscillations in chemical systems. IV. Limit cycle behavior in a model of a real chemical reactionâ€, Journal of Chemical Physics, pp. 1877-1884, 1974.

      [6] B.S. Dobronets, Interval Mathematics, Krasnoyarsk: KSU, 219 p, 2004.

      [7] Gulnaz Shangareeva, Igor Grigoryev, Svetlana Mustafina Comparative Analysis of Numerical Solution of Optimal Control Problems, International Journal of Pure and Applied Mathematics, №.4, pp. 645 – 649, 2016.

      [8] Grigoryev Igor, Mustafina Svetlana, Larin Oleg, Numerical solution of optimal control problems by the method of successive approximations, International Journal of Pure and Applied Mathematics, №..4, pp. 617 – 622, 2016.

      [9] Svetlana Mustafina, Vladimir Vaytiev, Igor Grigoryev, The method of research of the direct problem to the variation of the kinetic parameters within a given range, International Journal of Pure and Applied Mathematics, â„–.4, pp. 805-815, 2017.

      [10] O. Garel, D. Garel, Oscillating Chemical Reactions, Moscow: Mir, 148 p, 1986.

      [11] G.M. Ostrovsky, Technical systems in conditions of uncertainty: analysis of flexibility and optimization, Moscow: BINOM, 250 p, 2008.

      [12] M.G. Slinko, Fundamentals and principles of mathematical modeling of catalytic processes, Novosibirsk: G.K. Boreskov, 145 p, 2004.

      [13] S.I. Spivak, Informativeness of kinetic measurements, Bulletin of the Bashkir University, T.14, â„–.3(I), pp. 1056-1059, 2009.

      [14] Z.M. Tsareva, Theoretical Foundations of Chemical Technology, Kiev: Vishcha shk., 320 p, 1986.

      [15] Yu. I. Shokin, Interval analysis, Novosibirsk: Science, 150 p, 1981.

      [16] R.E. Moore, Methods and applications of interval analysis, Philadelphia: SIAM, 123 p, 1979.

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  • How to Cite

    A. Medvedeva, O., I. Mustafina, S., V. Grigoryev, I., & A. Mustafina, S. (2018). Direct Modeling of Chemical Processes in Conditions of Uncertainty of Initial Data. International Journal of Engineering & Technology, 7(3.27), 556-560. https://doi.org/10.14419/ijet.v7i3.27.18493

    Received date: 2018-08-28

    Accepted date: 2018-08-28