Synthesis of the structure for the optimal system of flow treatment of raw materials
DOI:
https://doi.org/10.15587/1729-4061.2018.141462Keywords:
efficiency indicator, technological installation, flow treatment, an optimal system modelAbstract
This paper demonstrates that contemporary studies into optimization of technological processes do not take into consideration in the models of systems and in the applied criteria the requirements to the overall efficiency of the process and compliance with the objectives of the owner of a privately-held industrial enterprise. This necessitates the reduction of cost and time of a technological operation, as well as maximization of the added value of the primary product.
The effectiveness of the system of a flow treatment of raw materials is estimated using a specialized model, which was synthesized in the course of this work. The proposed model is different in that it includes units to calculate the unit cost of a product depending on the quality indicator and the degree of correspondence to the proposed quantitative and qualitative constraints. There are calculation units for the dynamics of change in a qualitative indicator of the finished product depending on a flow of raw materials and the energy supplied to treatment. The units are also required to calculate the consumption of resource and energy for the transporting and treatingg parts of the system in the interval, defined as the time taken for a conditional batch to pass through the installation.
Using the developed model makes it possible to determine the value for the performance indicator for any permissible technological mode and to perform a global optimization of the process. Thus, there is a transition from the requirements to efficiency in general terms to setting the technological process parameters.
Here we propose the analytical form for a performance indicator, suitable as an optimization criterion for modes of the technological installation with a continuous supply of raw-material and energy products.
We have experimentally studied a model of the flow-through electric heater with units that calculate time and cost parameters, which has demonstrated its adequacy. The developed optimality criterion was verified and the possibility of its application was proven for determining the optimal permissible operating modes of the technological equipment with a continuous supply of raw materials and energy.
References
- Barskii, L. A., Kozin, V. Z. (1978). Sistemnyi analiz v obogashchenii poleznykh iskopaemykh [System Analysis at Mineral Processing]. Мoscow: Nedra, 486.
- Lee, T. H., Adams, G. E., Gaines, W. M. (1968). Computer process control: modeling and optimization. New York: Wiley, 386.
- Goncharov, Y. G., Davidkovich, A. S. (1968). Avtomaticheskiy kontrol' i regulirovanie na zhelezorudnyh obogatitel'nyh fabrikah [Automatic Control and Regulation Iron Ore Mineral Processing Factory]. Moscow: Nedra, 227.
- Kagramanyan, S. L., Davidkovich, A. S., Malyshev, V. A. et al. (1989). Modelirovanie i upravlenie gornorudnymi predpriyatiyami. Moscow: Nedra, 360.
- Krasovskiy, A. A. (Ed.) (1987). Spravochnik po teorii avtomaticheskogo upravleniya [Handbook on Theory of Automatic Control]. Moscow: Nauka, 712.
- Meyer, H., Fuchs, F., Thiel, K. (2009). Manufacturing Execution Systems: Optimal Design, Planning, and Deployment. McGraw-Hill Education, 274.
- Gavrilov, D. A. (2002). Upravlenie proizvodstvom na baze standarta MRP II [Managing Production Based on The MRP II Standard]. Sankt-Peterburg: Piter, 320.
- Sinchuk, O., Sinchuk, I., Beridze, T. (2018). Private commentary to the problem energy security of Ukraine. Electromechanical and energy saving systems, 1 (1), 53–60. doi: https://doi.org/10.30929/2072-2052.2018.1.41.53-60
- Berk, J. (2010). Cost Reduction and Optimization for Manufacturing and Industrial Companies. Wiley, 258. doi: https://doi.org/10.1002/9780470643815
- Lutsenko, I. (2015). Classification of Systems and System Entities. Metallurgical and Mining Industry, 12, 12–17.
- Lavrushina, E. G., Slugina, N. L. (2007). Teoriya sistem i sistemnyi analiz [Theory of Systems and System Analysis]. Vladivostok: VGUES, 168.
- Chernyshov, V. N., Chernyshov, A. V. (2008). Teoriya sistem i sistem i sistemnyi analiz [Theory of Systems and System Analysis]. Tambov: Izdatel'stvo TGTU, 96.
- Vasilyev, E. S. (2013). Optimization of the architecture of a charge pump device on the basis of the energy efficiency criterion. Journal of Communications Technology and Electronics, 58 (1), 95–99. doi: https://doi.org/10.1134/s1064226913010099
- Rukin, A. N. (2015). Modeli elementov slozhnoi sistemy [Models of elements at complex system]. Symbol of Science, 8, 57–58.
- Dinçer, İ. Zamfirescu, C. (2015). Optimization of Drying Processes and Systems. Drying Phenomena: Theory and Applications. John Wiley & Sons, 349–380. doi: https://doi.org/10.1002/9781118534892.ch9
- Weigler, F., Scaar, H., Franke, G., Mellmann, J. (2016). Optimization of mixed flow dryers to increase energy efficiency. Drying Technology, 35 (8), 985–993. doi: https://doi.org/10.1080/07373937.2016.1230627
- Zdor, G. N., Sinitsyn, A. V., Avrutin, O. A. (2017). Pump group automatic control for reducing its energy consumption. ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations, 60 (1), 54–66. doi: https://doi.org/10.21122/1029-7448-2017-60-1-54-66
- Zagirnyak, M., Kovalchuk, V., Korenkova, T. (2015). Power model of an electrohydraulic complex with periodic nonlinear processes in the pipeline network. 2015 International Conference on Electrical Drives and Power Electronics (EDPE), 345–352. doi: https://doi.org/10.1109/edpe.2015.7325318
- Ha, Q. P., Vakiloroaya, V. (2015). Modeling and optimal control of an energy-efficient hybrid solar air conditioning system. Automation in Construction, 49, 262–270. doi: https://doi.org/10.1016/j.autcon.2014.06.004
- Lutsenko, I. (2015). Identification of target system operations. Development of global efficiency criterion of target operations. Eastern-European Journal of Enterprise Technologies, 2 (2 (74)), 35–40. doi: https://doi.org/10.15587/1729-4061.2015.38963
- Lutsenko, I., Vihrova, E., Fomovskaya, E., Serduik, O. (2016). Development of the method for testing of efficiency criterion of models of simple target operations. Eastern-European Journal of Enterprise Technologies, 2 (4 (80)), 42–50. doi: https://doi.org/10.15587/1729-4061.2016.66307
- Lutsenko, I. (2016). Definition of efficiency indicator and study of its main function as an optimization criterion. Eastern-European Journal of Enterprise Technologies, 6 (2 (84)), 24–32. doi: https://doi.org/10.15587/1729-4061.2016.85453
- Lutsenko, I. (2015). Optimal control of systems engineering. Development of a general structure of the technological conversion subsystem (Part 2). Eastern-European Journal of Enterprise Technologies, 1 (2 (73)), 43–50. doi: https://doi.org/10.15587/1729-4061.2015.36246
- Lutsenko, I., Fomovskaya, E. (2015). Synthesis of cybernetic structure of optimal spooler. Metallurgical and Mining Industry, 9, 297–301
- Lebedev, P. D. (1962). Raschet i proektirovanie sushil'nykh ustanovok [Calculation and Design of Drying Unit]. Moscow, 320 p.
- Lutsenko, I., Fomovskaya, O., Konokh, I., Oksanych, I. (2017). Development of a method for the accelerated two-stage search for an optimal control trajectory in periodical processes. Eastern-European Journal of Enterprise Technologies, 3 (2 (87)), 47–55. doi: https://doi.org/10.15587/1729-4061.2017.103731
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Igor Konokh
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.