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Proceedings ArticleDOI

CFD - A virtual platform for teaching concepts in non-ideal Chemical Reactors

TL;DR: The residence time distribution (RTD) and velocity contours obtained from CFD simulations will enable visualisation of crucial reactor flow patterns to augment conventional teaching of the undergraduate course on Chemical Reaction Engineering.
Abstract: This paper proposes the use of Computational Fluid Dynamics (CFD) techniques as an instructional tool for the topic of flow non-idealities in Chemical Reactors. The residence time distribution (RTD) and velocity contours obtained from CFD simulations will enable visualisation of crucial reactor flow patterns. The tool is expected to augment conventional teaching of the undergraduate course on Chemical Reaction Engineering.
References
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Book
30 Jun 1972
TL;DR: An overview of Chemical Reaction Engineering is presented, followed by an introduction to Reactor Design, and a discussion of the Dispersion Model.
Abstract: Partial table of contents: Overview of Chemical Reaction Engineering. HOMOGENEOUS REACTIONS IN IDEAL REACTORS. Introduction to Reactor Design. Design for Single Reactions. Design for Parallel Reactions. Potpourri of Multiple Reactions. NON IDEAL FLOW. Compartment Models. The Dispersion Model. The Tank--in--Series Model. REACTIONS CATALYZED BY SOLIDS. Solid Catalyzed Reactions. The Packed Bed Catalytic Reactor. Deactivating Catalysts. HETEROGENEOUS REACTIONS. Fluid--Fluid Reactions: Kinetics. Fluid--Particle Reactions: Design. BIOCHEMICAL REACTIONS. Enzyme Fermentation. Substrate Limiting Microbial Fermentation. Product Limiting Microbial Fermentation. Appendix. Index.

8,257 citations

Journal ArticleDOI
TL;DR: In this article, the authors demonstrate that the multiple reference frames (MRF) impeller rotation model and the standard k-e turbulence model, as commonly used in engineering CFD simulations of stirred tanks, can accurately model turbulent fluid flow provided very fine grids coupled with higher-order discretization schemes are used.

190 citations

Journal ArticleDOI
TL;DR: In this paper, the classical theory of RTD was applied to characterize a flow in a laboratory jet mixer using both numerical and experimental approaches, and detailed information about flow field in the reactor was obtained through computational fluid dynamics (CFD) simulations.
Abstract: The classical theory of RTD was applied to characterize a flow in a laboratory jet mixer using both numerical and experimental approaches. Detailed information about flow field in the reactor was obtained through computational fluid dynamics (CFD) simulations. Three different turbulence models have been tested: the standard k – ɛ , RNG k – ɛ and Reynolds Stress Model (RSM). The CFD models predicted slight yet relevant differences in flow patterns. The experimental RTD can be used to identify erroneous numerical results. This paper points out differences in the predicted flow velocities. Such discrepancy may have significant impact on the assessment of the reactor's performance. Thus, the role of experimental verification is emphasized. A dedicated experiment is proposed to resolve the potential validation problem.

28 citations