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calendar15 Dekabr 2019
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The systems concept to mathematical process modeling of carbonization.

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Kimyoviy texnologiya. Nazorat va boshqaruv

Kimyoviy texnologiya. Nazorat va boshqaruv

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ARTICLE ANNOTATION

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Considers a systematic approach to mathematical modeling of a complex, multistage carbonization process, which allows for taking into account the stoichiometric dependencies of the ongoing reactions. A kinetic model of the carbonization process based on chemical reactions in the carbonation column is proposed, which is the basis for obtaining the functional dependence in the form of a mathematical model of the main indicator of process quality-the degree of sodium utilization from the outlet streams of the carbonation column. The proposed systematic approach to the development of mathematical models based on stoichiometric ratios and the coefficients of reversibility of the ongoing reactions makes it possible to develop control systems for quality indicators for chemical processes and to justify the rationality of the model structure for the purposes of operational control of objects of chemical processes with reversible reactions.

AUTHORS

I.Siddiqov

Z.Iskandadov

D.Yadg'arova

Tags

# температура# абсорбция# ҳарорат# absorption# математическая модель# mathematical model# концентрация# concentration# temperature# имитационная модель# имитацион модель# simulation model# карбонизациялашнинг математик мо# нейрон тармоқ модели# стехиометрик матрица# кимёвий реакция# асосий компонентлар# натрийни утилизациялаш# карбонизация# нейросетевая модель# стехиометрическая матрица# химическая реакция# ключевые компоненты# утилизация натрия# carbonization# neural network model# stoichiometric matrix# chemical reaction# key components# sodium utilization

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Article Identifiers

ROI:

https://eroi.uz/11.0008/A1219-0017

DOI:

Not Available

References

1. Zaycev I.D., Tkach G.A., Stoev N.D. Proizvodstvo sody'. -M.: Himiya,1986.-311 s. 2. Afanasenko A.G., Gnatenko YU.A. Matematicheskoe modelirovanie i optimizaciya processa karbonizacii ammonizirovannogo rassola // Matematicheskoe modelirovanie. 2008, № 8. - S. 105-110. 3. Gostev V. I. Proektirovanie nechetkih regulyatorov dlya sistem avtomaticheskogo upravleniya - SPb.: BHV-Peterburg, 2011. - 416 s. 4. Siddikov I.H.,Jukova YU.A.,YAdgarova D.B. Adaptivny'y algoritm upravleniya dinamicheskimi processami na baze neyronechetkoy tehnologii // Problemy' vy'chislitel'noy i prikladnoy matematiki. №5,2017. S. 80-83. 5. Siddikov I., Iskandarov Z. Synthesis of adaptive-fuzzy control system of dynamic in conditions of uncertainty of information // International Journal of Advanced Research in Science, Engineering and Technology. Vol.5, Issue 1, January 2018,RR. 5089-5093. 6. Usmanov R., Siddikov I., Yakubova N., Rahmanov A Adaptive identification of the Neural system of Controlling nonlinear Dynamic Objects // International Journal of Advanced Research in Science, Engineering and Technology. Vol.5, Issue 2, February 2018. RR. 5195-5199.