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Моделирование нестационарных процессов в промышленных центрифужных каскадах обогащения урана

Моделирование нестационарных процессов в промышленных центрифужных каскадах обогащения урана

Abstract

Разработана и реализована математическая модель нестационарных разделительных процессов обогащения урана в промышленных центробежных каскадах, которая может быть использована в компьютерном тренажере для подготовки специалистов разделительного производства и применения в качестве экспертной системы в автоматизированной системе управления технологической схемой.

Related Organizations
Keywords

нестационарные процессы, уран, обогащение, системы управления, экспертные системы, разделительные процессы, технологические схемы, моделирование, компьютерные тренажеры, разделительное производство, автоматизированные системы, промышленные центрифужные каскады, математические модели, специалисты, подготовка

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    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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
Average
Green