Micromxing effects in a stirred tank: The random replacement IEM model

P. C. Chang; C. Y. Mou; D. J. Lee

doi:10.1016/0009-2509(96)00121-2

Micromxing effects in a stirred tank: The random replacement IEM model

P. C. Chang, C. Y. Mou, D. J. Lee

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

A random replacement IEM model, in which the mean field concentration is considered as a direct averaging over all the existing fluid particles in the stirred tank, is proposed as a numerically more favourable IEM scheme. For steady-state simulations, the present random replacement IEM model is equivalent to the steady-state IEM model. For chemical systems with a stiff kinetics, the random replacement IEM model is found superior to the unsteady-state IEM model. Two numerical examples are given.

Original language	English
Pages (from-to)	2601-2606
Number of pages	6
Journal	Chemical Engineering Science
Volume	51
Issue number	11
DOIs	https://doi.org/10.1016/0009-2509(96)00121-2
Publication status	Published - 1996
Externally published	Yes

ASJC Scopus subject areas

General Chemistry
General Chemical Engineering
Industrial and Manufacturing Engineering

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abstract = "A random replacement IEM model, in which the mean field concentration is considered as a direct averaging over all the existing fluid particles in the stirred tank, is proposed as a numerically more favourable IEM scheme. For steady-state simulations, the present random replacement IEM model is equivalent to the steady-state IEM model. For chemical systems with a stiff kinetics, the random replacement IEM model is found superior to the unsteady-state IEM model. Two numerical examples are given.",

author = "Chang, {P. C.} and Mou, {C. Y.} and Lee, {D. J.}",

year = "1996",

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AU - Chang, P. C.

AU - Mou, C. Y.

AU - Lee, D. J.

PY - 1996

Y1 - 1996

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AB - A random replacement IEM model, in which the mean field concentration is considered as a direct averaging over all the existing fluid particles in the stirred tank, is proposed as a numerically more favourable IEM scheme. For steady-state simulations, the present random replacement IEM model is equivalent to the steady-state IEM model. For chemical systems with a stiff kinetics, the random replacement IEM model is found superior to the unsteady-state IEM model. Two numerical examples are given.

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ER -

Micromxing effects in a stirred tank: The random replacement IEM model

Abstract

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