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contributor authorRamin K. Rahmani
contributor authorTheo G. Keith
contributor authorAnahita Ayasoufi
date accessioned2017-05-09T00:16:34Z
date available2017-05-09T00:16:34Z
date copyrightMay, 2005
date issued2005
identifier issn0098-2202
identifier otherJFEGA4-27208#467_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/132008
description abstractIn many branches of processing industries, viscous liquids need to be homogenized in continuous operations. Consequently, fluid mixing plays a critical role in the success or failure of these processes. Static mixers have been utilized over a wide range of applications such as continuous mixing, blending, heat and mass transfer processes, chemical reactions, etc. This paper describes how static mixing processes of single-phase viscous liquids can be simulated numerically, presents the flow pattern through a helical static mixer, and provides useful information that can be extracted from the simulation results. The three-dimensional finite volume computational fluid dynamics code used here solves the Navier-Stokes equations for both laminar and turbulent flow cases. The turbulent flow cases were solved using k-ω model and Reynolds stress model (RSM). The flow properties are calculated and the static mixer performance for different Reynolds numbers (from creeping flows to turbulent flows) is studied. A new parameter is introduced to measure the degree of mixing quantitatively. Furthermore, the results obtained by k-ω and RSM turbulence models and various numerical details of each model are compared. The calculated pressure drop is in good agreement with existing experimental data.
publisherThe American Society of Mechanical Engineers (ASME)
titleThree-Dimensional Numerical Simulation and Performance Study of an Industrial Helical Static Mixer
typeJournal Paper
journal volume127
journal issue3
journal titleJournal of Fluids Engineering
identifier doi10.1115/1.1899166
journal fristpage467
journal lastpage483
identifier eissn1528-901X
keywordsFlow (Dynamics)
keywordsParticulate matter
keywordsTurbulence
keywordsReynolds number
keywordsFluids
keywordsPressure drop AND Computer simulation
treeJournal of Fluids Engineering:;2005:;volume( 127 ):;issue: 003
contenttypeFulltext


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