American Journal of Physical Chemistry

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United Probabilistic Nature and Model of Chemical and Mechanical Reactions of Consecutive Destruction of Substance

Received: 08 October 2015    Accepted: 21 October 2015    Published: 31 October 2015
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Abstract

Into development of mathematical methods of forecasting of grinding process materials based on different aspects of the application of systems theory, the authors propose to be likened to and summarize chemical and mechanical processes of sequential destruction of matter on the basis of a single probability of their nature. Expression for the rate of direct reaction of substances is opened taking into account sense of product of the mole fractions of reacting molecules as probabilities of their simultaneous presence at any point of reactionary space (a concentration factor Pconc), a steric factor of Pst – as probabilities of successful mutual orientation of molecules, an activation factor of Pa – as probabilities of overcoming of a power barrier of activation under the influence of the frequency of impacts of Z: V=ZPconc∙ Pst ∙ Pа. Probabilistic representation of the rate of chemical reactions more directly reflects randomized the state of the reacting system and can be generalized to any of its variants, in particular, mechanical. This allowed us to consider the process of grinding material from new point of view, and moreover - to liken of its kinetics successive irreversible reactions to give the general expression for the output of the intermediates (fractions) at any time for any number of destruction stages. On this basis calculated the entropy of mixing of fractions and the dynamics of change corresponding to the log-normal distribution of fractions which known by data of practices.

DOI 10.11648/j.ajpc.20150406.11
Published in American Journal of Physical Chemistry (Volume 4, Issue 6, December 2015)
Page(s) 42-47
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Chemical Reaction, Mechanical Reaction, Probability Theory, Destruction of the Substance, Ball Mill, Grinding

References
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[4] Linch A. Cycles of crushing and grinding. – M. Nedra, 1980. – 343 p.
[5] Hodakov G.S. Physic of grinding. – M.: Nauka, 1972. – 308 p.
[6] The mathematical description and calculation algorithms of mill of cement industry. / Ed. M.A. Verdiyan. M.: NIITSement. – 94 p.
[7] L.G. Austin. Introduction to the mathematical description of grinding as a rate process. Powder Technology, 5 (1971/1972) pp. 1-17.
[8] Filichev P.V. Forecasting of characteristics of grinding processes through the application of the principle of maximum entropy. Dissertation of the candidate of technical sciences. – Ivanovo, 1999. – 103 p.
[9] Emanuel N. M., Knorre D.G. Course of chemical kinetics. The textbook for chemical faculties. Prod. the 3rd, reslave. and additional – M.: The higher school, 1974. – 400 p.
[10] Malyshev V.P., Turdukozhayeva A.M. (Makasheva). What Thunder There and is not Heard When Using Ball Mills? // Journal Materials Science and Engineering A. – 2013. – № 2. – V. 3. – P. 131-144.
[11] Malyshev V.P., Turdukozhayeva A.M., Kaykenov D.A. Development of the theory of crushing ores on the basis of the molecular theory of impacts and formal kinetics of consecutive reactions//Ore concentration. – 2012. – № 4. – P. 29-35.
[12] Malyshev V.P., Turdukozhayeva A.M., Kaykenov D.A. Display of process wet crushing in ball mills probabilistic model//Ore concentration. – 2013. – № 1. – P. 27-30.
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[16] Kolmogorov A.N. About logarithmic normal law distribution of the sizes at particles when crushing// Reports of Academy of Sciences of the USSR. – 1994. – V. 31. – № 2. – P. 99-101.
[17] Malyshev V.P., Makasheva A.M., Zubrina Y.S. General view of the integrals in the decomposition of a complex function into elementary fractional. // DNANRK. – 2014. No. 6. – P. 11-14.
[18] Malyshev V.P., Zubrina Y.S., Kaikenov D.A., Makasheva A.M. Analysis of convergence and limit of the amount of functional series for fractional composition at the sequential destruction. // DNANRK. – 2015. No. 4. P. 78-83.
[19] Malyshev V.P., Turdukozhayeva A.M. Determination of effective energy of activation, the period of semi-crushing and entropy of crushing on the basis of the probabilistic theory of process// Ore concentration. – 2013. – № 5. – P. 17-20.
[20] Malyshev V.P., Turdukozhayeva A.M., Bekturganov N.S., Kaykenov D A. Logarifmic normal distribution of fractions when crushing materials as an attractor in probabilistic model of process// Reports of National Academy of Sciences The Republic of Kazakhstan. – 2013. – № 6. – P. 46-52.
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Author Information
  • Chemical and Metallurgical Institute, Karaganda, Republic of Kazakhstan

  • Chemical and Metallurgical Institute, Karaganda, Republic of Kazakhstan

  • Chemical and Metallurgical Institute, Karaganda, Republic of Kazakhstan

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    Vitaliy Pavlovich Malyshev, Astra Mundukovna Makasheva, Yuliya Sergeevna Zubrina. (2015). United Probabilistic Nature and Model of Chemical and Mechanical Reactions of Consecutive Destruction of Substance. American Journal of Physical Chemistry, 4(6), 42-47. https://doi.org/10.11648/j.ajpc.20150406.11

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    Vitaliy Pavlovich Malyshev; Astra Mundukovna Makasheva; Yuliya Sergeevna Zubrina. United Probabilistic Nature and Model of Chemical and Mechanical Reactions of Consecutive Destruction of Substance. Am. J. Phys. Chem. 2015, 4(6), 42-47. doi: 10.11648/j.ajpc.20150406.11

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    Vitaliy Pavlovich Malyshev, Astra Mundukovna Makasheva, Yuliya Sergeevna Zubrina. United Probabilistic Nature and Model of Chemical and Mechanical Reactions of Consecutive Destruction of Substance. Am J Phys Chem. 2015;4(6):42-47. doi: 10.11648/j.ajpc.20150406.11

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  • @article{10.11648/j.ajpc.20150406.11,
      author = {Vitaliy Pavlovich Malyshev and Astra Mundukovna Makasheva and Yuliya Sergeevna Zubrina},
      title = {United Probabilistic Nature and Model of Chemical and Mechanical Reactions of Consecutive Destruction of Substance},
      journal = {American Journal of Physical Chemistry},
      volume = {4},
      number = {6},
      pages = {42-47},
      doi = {10.11648/j.ajpc.20150406.11},
      url = {https://doi.org/10.11648/j.ajpc.20150406.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajpc.20150406.11},
      abstract = {Into development of mathematical methods of forecasting of grinding process materials based on different aspects of the application of systems theory, the authors propose to be likened to and summarize chemical and mechanical processes of sequential destruction of matter on the basis of a single probability of their nature. Expression for the rate of direct reaction of substances is opened taking into account sense of product of the mole fractions of reacting molecules as probabilities of their simultaneous presence at any point of reactionary space (a concentration factor Pconc), a steric factor of Pst – as probabilities of successful mutual orientation of molecules, an activation factor of Pa – as probabilities of overcoming of a power barrier of activation under the influence of the frequency of impacts of Z: V=Z∙Pconc∙ Pst ∙ Pа. Probabilistic representation of the rate of chemical reactions more directly reflects randomized the state of the reacting system and can be generalized to any of its variants, in particular, mechanical. This allowed us to consider the process of grinding material from new point of view, and moreover - to liken of its kinetics successive irreversible reactions to give the general expression for the output of the intermediates (fractions) at any time for any number of destruction stages. On this basis calculated the entropy of mixing of fractions and the dynamics of change corresponding to the log-normal distribution of fractions which known by data of practices.},
     year = {2015}
    }
    

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    T1  - United Probabilistic Nature and Model of Chemical and Mechanical Reactions of Consecutive Destruction of Substance
    AU  - Vitaliy Pavlovich Malyshev
    AU  - Astra Mundukovna Makasheva
    AU  - Yuliya Sergeevna Zubrina
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    T2  - American Journal of Physical Chemistry
    JF  - American Journal of Physical Chemistry
    JO  - American Journal of Physical Chemistry
    SP  - 42
    EP  - 47
    PB  - Science Publishing Group
    SN  - 2327-2449
    UR  - https://doi.org/10.11648/j.ajpc.20150406.11
    AB  - Into development of mathematical methods of forecasting of grinding process materials based on different aspects of the application of systems theory, the authors propose to be likened to and summarize chemical and mechanical processes of sequential destruction of matter on the basis of a single probability of their nature. Expression for the rate of direct reaction of substances is opened taking into account sense of product of the mole fractions of reacting molecules as probabilities of their simultaneous presence at any point of reactionary space (a concentration factor Pconc), a steric factor of Pst – as probabilities of successful mutual orientation of molecules, an activation factor of Pa – as probabilities of overcoming of a power barrier of activation under the influence of the frequency of impacts of Z: V=Z∙Pconc∙ Pst ∙ Pа. Probabilistic representation of the rate of chemical reactions more directly reflects randomized the state of the reacting system and can be generalized to any of its variants, in particular, mechanical. This allowed us to consider the process of grinding material from new point of view, and moreover - to liken of its kinetics successive irreversible reactions to give the general expression for the output of the intermediates (fractions) at any time for any number of destruction stages. On this basis calculated the entropy of mixing of fractions and the dynamics of change corresponding to the log-normal distribution of fractions which known by data of practices.
    VL  - 4
    IS  - 6
    ER  - 

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