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Engineering journal of Don
Article . 2015
Data sources: CyberLeninka - Russian open access scientific library
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Проектирование сложных ректификационных колонн на основе энтропийного метода моделирования

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2015 Russian Publisher:Федеральное государственное автономное образовательное учреждение высшего профессионального образования «Южный федеральный университет»Journal:Инженерный вестник Дона (eissn: 2073-8633, Copyright policy )

Проектирование сложных ректификационных колонн на основе энтропийного метода моделирования

Abstract

В работе представлена проектная иерархическая модель процесса многокомпонентной ректификации в сложных колоннах, построенная с использованием энтропийного метода моделирования. Составлен и реализован алгоритм решения. Приведены примеры проектных расчетов.

The paper presents a hierarchical design model of a complex multicomponent distillation columns, constructed with the use of entropy modeling method. Drawn up and implemented an algorithm solutions. Examples of design calculations was shown.

Keywords

МНОГОКОМПОНЕНТНАЯ РЕКТИФИКАЦИЯ, ПРОЕКТНЫЙ РАСЧЕТ, СЛОЖНАЯ КОЛОННА, ФОРМАЛИЗМ ДЖЕЙНСА, ПРИНЦИП МАКСИМАЛЬНОЙ ЭНТРОПИИ, ЭНТРОПИЙНАЯ МОДЕЛЬ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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