Hybrid Fuzzy Differential-Production Model of the Dynamic Drying of a Pellet under Uncertainty
Abstract An original hybrid fuzzy differential-production model of the dynamic drying of a multilayer pellet as a dispersed spherical body was developed, which represents the velocity of the localized evaporation front within the pellet being dried. The model is characterized by using a system of partial differential equations of the thermal conductivity and the drying rate with fuzzy parameters representing the interval values of the thermophysical properties of the dispersed pellet particles, by computational operations for reducing the accumulation of the errors of the applied finite-difference methods, and also by replacing the approximating multidimensional finite-difference system of equations by a set of special fuzzy production rules describing the complex dependence of the velocity of the localized evaporation front on the fuzzy thermophysical and heat-and-mass transfer parameters of the drying process. This makes it possible to perform the rapid calculation of the parameters of the process conditions of the resource-and-energy-saving drying of the multilayer pellet with preventing a decrease in the strength of the pellets and their breakability because of the thermal shock. The development of the proposed hybrid fuzzy differential-production model is based on the modern artificial intelligence methods with taking into account the physicochemical features of drying processes..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:494 |
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| Enthalten in: |
Doklady chemistry - 494(2020), 2 vom: Okt., Seite 166-169 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Meshalkin, V. P. [VerfasserIn] |
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| Links: |
Volltext [lizenzpflichtig] |
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| BKL: |
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| Anmerkungen: |
© Pleiades Publishing, Ltd. 2020. ISSN 0012-5008, Doklady Chemistry, 2020, Vol. 494, Part 2, pp. 166–169. © Pleiades Publishing, Ltd., 2020. Russian Text © The Author(s), 2020, published in Doklady Rossiiskoi Akademii Nauk. Khimiya, Nauki o Materialakh, 2020, Vol. 494, pp. 50–54. |
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| doi: |
10.1134/S0012500820100055 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
OLC2121629874 |
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| 245 | 1 | 0 | |a Hybrid Fuzzy Differential-Production Model of the Dynamic Drying of a Pellet under Uncertainty |
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| 500 | |a © Pleiades Publishing, Ltd. 2020. ISSN 0012-5008, Doklady Chemistry, 2020, Vol. 494, Part 2, pp. 166–169. © Pleiades Publishing, Ltd., 2020. Russian Text © The Author(s), 2020, published in Doklady Rossiiskoi Akademii Nauk. Khimiya, Nauki o Materialakh, 2020, Vol. 494, pp. 50–54. | ||
| 520 | |a Abstract An original hybrid fuzzy differential-production model of the dynamic drying of a multilayer pellet as a dispersed spherical body was developed, which represents the velocity of the localized evaporation front within the pellet being dried. The model is characterized by using a system of partial differential equations of the thermal conductivity and the drying rate with fuzzy parameters representing the interval values of the thermophysical properties of the dispersed pellet particles, by computational operations for reducing the accumulation of the errors of the applied finite-difference methods, and also by replacing the approximating multidimensional finite-difference system of equations by a set of special fuzzy production rules describing the complex dependence of the velocity of the localized evaporation front on the fuzzy thermophysical and heat-and-mass transfer parameters of the drying process. This makes it possible to perform the rapid calculation of the parameters of the process conditions of the resource-and-energy-saving drying of the multilayer pellet with preventing a decrease in the strength of the pellets and their breakability because of the thermal shock. The development of the proposed hybrid fuzzy differential-production model is based on the modern artificial intelligence methods with taking into account the physicochemical features of drying processes. | ||
| 700 | 1 | |a Bobkov, V. I. |4 aut | |
| 700 | 1 | |a Borisov, V. V. |4 aut | |
| 700 | 1 | |a Dli, M. I. |4 aut | |
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