Automation and process control of actinide extraction purification process

DOI: 10.21293/1818-0442-2025-28-3-66-72

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Abstract: The paper considers the main tasks of automation and control of technologies of the extraction purification process of actinides, and also presents an approach to modeling an extraction column using the block-component circuit method (BCM) in the MARS (Modeling and Automatic Calculation of Systems) modeling environment and automation of the extraction process taking into account various effects. When modeling a column device to describe the extraction process, a diffusion model was taken as a basis, taking into account the conditions of mass transfer and hydrodynamics. The obtained results confirm the possibility of using the block-component chain method for the development of hardware chemical-technological systems and systems with the inclusion of integration models in the automat-ed control system (ACS) for optimization and improvement of the efficiency of technological processes.

Keywords: analysis, modeling, automation, block-component chain meth-od, extraction column, mass transfer

For citation:
Dmitriev V. M., Gandzha T. V., Shurygin Yu. A., Ushakov A. O. Automation and process control of actinide extraction purification process. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2025, vol. 28, no. 3, pp. 66–72. DOI: 10.21293/1818-0442-2025-28-3-66-72

Authors and copyright holders:

  • Dmitriev V. M. , Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)
  • Gandzha T. V. , Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)
  • Shurygin Yu. A. , Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)
  • Ushakov A. O. , Tomsk Polytechnic University (Tomsk, Russia), Seversk Technological Institute, National Research Nuclear University «MEPHI», (Seversk, Russia)

  • 1. Dmitriev V.M., Arais L.A., Shutenkov A.V. Avtomatizaciya modelirovaniya promyshlennykh robotov [Automation of modeling of industrial robots]. Moscow, Scientific and technical publishing house «Machine Building», 1995 (in Russ.).
  • 2. Kafarov V.V. Matematicheskie osnovy avtomatizirovannogo proektirovaniya himicheskih proizvodstv: Metodologiya proektirovaniya i teoriya razrabotki optimalnyh tehnologicheskih shem [Mathematical foundations of sound design of industrial production: Design methodology and theory of development of optimal technological schemes] / V.V. Kafarov, V.P. Meshalkin, V.L. Perov. M., Chemistry, 1979, 320 p. (in Russ.).
  • 3. Garcia H., Patterson M., Carlson R. Modeling, analysis, and optimization of complex nuclear processes and facilities via computational methods: The HALEU process case study. Progress in Nuclear Energy, 2023, vol. 167, pp. 104993. DOI: https://doi.org/10.1016/j.pnucene.2023.104993.
  • 4. Ganyukov A.A., Kadyrova I.A., Kadyrov A.S., Maratov D.D. Matematicheskoe modelirovanie processa diffuzii i kinetiki massoperenosa veshhestv v razlichnyh sredah [Mathematical modeling of the diffusion process and kinetics of mass transfer of substances in various media]. International Journal of Applied and Fundamental Research, 2021, no. 4, pp. 86–91 (in Russ.).
  • 5. Vanel V, Mallet J, Dinh B, Michaud S, Montuir M and Vilpini F Predictive functional control for separation processes by liquid-liquid extraction. Frontiers in Chemical Engineering, 2024, vol. 5, pp. 1294784. DOI: 10.3389/fceng.2023. 1294784
  • 6. Dmitriev, V.M., Gandzha T.V., Ushakov A.O. [Blockcomponent circuit method and its prospects in computer modeling of chemical-engineering systems] Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2024. vol. 27, no. 4. pp. 116–121. DOI: 10.21293/1818-0442-2024-27-4-116-121. (in Russ.).
  • 7. Dmitriev V.M., Gandzha T.V., Vazhenin S.K. Principy postroeniya modelej slozhnykh tekhnologicheskikh objektov s neodnorodnymi vektornymi svyazyami [Principles of constructing models of complex technological objects with heterogeneous vector connections]. Modern Technologies. System Analysis. Modeling, 2014, vol. 41, No. 1, pp. 104–111 (in Russ.).
  • 8. Zaychenko T.N. Shemotehnicheskoe modelirovanie jelektrotehnicheskih ustrojstv v zadachah issledovanija i obuchenija [Circuit modeling of electrical devices in research and training tasks]. Russian Physics Journal. 2006, vol. 49, no. S9, pp. 196–201 (in Russ.).
  • 9. Dmitriev V.M., Shutenkov A.V., Gandzha T.V. Arhitektura universalnogo vychislitelnogo yadra dlya realizacii virtualnyh laboratorij [Architecture of a universal computing core for implementing virtual laboratories]. Instruments and Systems: Monitoring, Control, and Diagnostics, 2004, no. 2, pp. 24–28 (in Russ.).
  • 10. Dmitriev V.M., Gandzha T.V. Sreda mnogourovnevogo kompyuternogo modelirovaniya [Environment for multi-level computer modeling of chemical-technological systems]. Tomsk, Publishing house of Tomsk State University, 2017, 332 p. (in Russ.).
  • 11. Noskov M.D., Istomin A.D., Kozyrev A.S. Fizikomatematicheskaja model' jekstrakcionnoj pererabotki koncentrata urana v kaskade protivotochnyh kolonn [Physical and mathematical model of extraction processing of uranium concentrate in a cascade of counter-current columns]. Bulletin of Tomsk Polytechnic University. Chemistry. 2007. vol. 311, no. 3. pp. 10–14 (in Russ.).
  • 12. Ushakov A.O., Zherin I.I., Muslimova A.V., Noskov M. D. Issledovanie vliyaniya raskhoda pitayushchego rastvora na affinazh urana v kaskade ekstrakcionnyh kolonn [Study of the influence of feed solution consumption on uranium refining in a cascade of extraction columns]. Atomic energy, 2023, vol. 135, no. 1–2, pp. 31–35 (in Russ.).
  • 13. Goryunov A.G., Liventsov S.N. Dinamicheskaja model' mnogokomponentnogo neravnovesnogo jekstrakcionnogo processa v pul'sacionnoj kolonne [Dynamic model of a multicomponent nonequilibrium extraction process in a pulsating column]. Radiochemistry. 2011, vol. 53, no. 3. pp. 237–241. (in Russ.).
  • 14. Giusti F., Guerinoni E., Lemire D., Thimotée M., Arrachart G., Dourdain S., Pellet-Rostaing S. Solvent extraction of uranium from an acidic medium for the front-end of nuclear fuel cycle: from mechanisms understanding to innovative process design. Comptes Rendus. Chimie, 2024, vol. 27, spec. iss. S4, pp. 153–183.
  • 15. Chen H., Jobson M., Taylor R.J., Woodhead D.A., Masters A.J., Sharrad C.A. Distribution coefficient model for zirconium and technetium extraction from nitric acid solution. Industrial & Engineering Chemistry Research, 2021, vol. 61, no. 1, pp. 786–804.
  • 16. Srivastava V, Werner J, Honaker R. Design of MultiStage Solvent Extraction Process for Separation of Rare Earth Elements. Mining, 2023, vol. 3, no 3, pp. 552–578.
  • 17. Turgeon K., Boulanger J., Bazin C. Simulation of Solvent Extraction Circuits for the Separation of Rare Earth Elements. Minerals, 2023, vol. 13, no. 6, 714 p.
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