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Article

  • Title

    Probabilistic model for combined air purification system

  • Authors

    Gamolich V. Ya.
    Butenko Olexandr G.
    Smyk Sergiy Yu.

  • Subject

    COMPUTER AND INFORMATION NETWORKS AND SYSTEMS. MANUFACTURING AUTOMATION

  • Year 2014
    Issue 1(43)
    UDC 504.3.054:614.712.001.57
    DOI 10.15276/opu.1.43.2014.35
    Pages 204-211
  • Abstract

    In the combined cleaning system aspirating air from polydisperse dust implemented method for redistributing the dust mass fraction composition. On the main dust collector receives major factions. Due to this the cleaning efficiency is significantly increased, and leakage to the atmosphere is reduced. Dust fines trapped in the apparatus of the circulation circuit. A distinctive feature of the combined cleaning system is the presence of two modes of operation ― cleaning mode and idle mode. During idling airflow cleared of previously accumulated in the circulation circuit of small fraction of dust. In this regard, the main indicators of the cleaning system ― collection efficiency changes over time. Prediction of changes in these quantities ― an important problem to be solved at the design stage cleaning system. The problem is solved by using the theory of Markov chains. Formulated a condition feasibility replacement ramjet dedusting system and obtained a combined model describing the dynamics of the system over time.

    Keywords: the combined system of clearing, Markov chains, catching degree.

  • Keywords
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  • References

    Література
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    4. Бутенко, А.Г. Разделение твердой фазы полидисперсного потока по фракциям в комбинированной системе очистки / А.Г. Бутенко, С.Ю. Смык, Д.А. Мовила // Экология и промышленность. — 2009. — № 4. — С. 74 — 76.

    References
    1. Butenko, A.G. Kombinirovannaya sistema ochistki vozdukha [Combined air cleaning system] / A.G. Butenko, S.Yu. Smyk // Energotekhnologii i resursosberezhenie [Energy Technologies and Resource Saving]. — 2010. — # 6. — pp. 66 — 69. (in Russian)
    2. Bulinski, A.V. Teoriya sluchainyh processov [Tekst] [Theory of Stochastic Processes [Text]] / A.V. Bulinski, A.N. Shiryaev. — M.; SPb.: FIZMATLIT, 2003. — 400 p. (in Russian)
    3. Kelbert, M.Ya. Veroyatnost i statistika v primerah i zadachah. Tom 2. Markovskie tsepi kak otpravnaya tochka teorii sluchaynykh protsessov i ikh prilozheniya [Tekst] [Probability and statistics by example. Vol. 2: Markov chains a starting point in random processes theory and their applications [Text]] / Yu.M. Suhov, M.Ya. Kelbert. — M.: MTsNMO, 2010. — 559 p. (in Russian)
    4. Butenko, A.G. Razdelenie tverdoi fazy polidispersnogo potoka po fraktsiyam v kombinirovannoi sisteme ochistki [Separation of the solid phase of a polydisperse flow fractions in the combined treatment system] / A.G. Butenko, S.Yu. Smy, D.A. Movyla // Ekologiya i promyshlennost’ [Ecology & Industry]. — 2009. — # 4. — pp 74 — 76. (in Russian)

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