Methods of Nonequilibrium Statistical Mechanics in Models for Mixing Bulk Components
| Autor: | Anna Kapranova, Daria Bahaeva, Mikhail Tarshis, Anton Lebedev, Dmitry Stenko, Ivan Verloka |
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| Rok vydání: | 2020 |
| Předmět: |
Nonequilibrium statistical mechanics
Materials science 020401 chemical engineering InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL 02 engineering and technology Mechanics 0204 chemical engineering 021001 nanoscience & nanotechnology 0210 nano-technology GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) Mixing (physics) |
| DOI: | 10.5772/intechopen.93137 |
| Popis: | When describing the mechanics of the behavior of bulk materials during their mixing, a theoretical basis for the design of the specified equipment is formed. In recent years, the most well-known methods of modeling this process include the stochastic approach, in the framework of which models of the following types are actively developing: cell, managerial, with time series, energy, etc. Moreover, as a rule, predicting the quality of the finished mixture according to the selected criterion is achieved by using numerical calculation methods based on the generated cyber system. Of particular interest is the use of the energy method from the statistical mechanics of nonequilibrium processes due to the possibility of obtaining analytical simulation results. The paper describes the motion models of bulk components in rarefied flows, which are built on the basis of the energy method and take into account the main characteristics of the studied mixing process. |
| Databáze: | OpenAIRE |
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