Computational Fluid Dynamics of Advanced Gas Dispersion: Deep Hollow Blade Turbine

Stirred tanks are widely used in the chemical and biochemical process industries. Mixing, fermentation, polymerization, crystallization and liquid-liquid extractions are significant examples of industrial operations usually carried out in tanks agitated by one or more impellers. The flow phenomena i...

Full description

Bibliographic Details
Main Author: Norleen, Isa
Format: Undergraduates Project Papers
Language:English
Published: 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6977/
http://umpir.ump.edu.my/id/eprint/6977/
http://umpir.ump.edu.my/id/eprint/6977/1/Computational_Fluid_Dynamics_Of_Advanced_Gas_Dispersion.pdf
id ump-6977
recordtype eprints
spelling ump-69772015-03-03T09:33:36Z http://umpir.ump.edu.my/id/eprint/6977/ Computational Fluid Dynamics of Advanced Gas Dispersion: Deep Hollow Blade Turbine Norleen, Isa TP Chemical technology Stirred tanks are widely used in the chemical and biochemical process industries. Mixing, fermentation, polymerization, crystallization and liquid-liquid extractions are significant examples of industrial operations usually carried out in tanks agitated by one or more impellers. The flow phenomena inside the tank are of great importance in the design, scale-up and optimization of tasks performed by stirred tanks. This work presents of a stirred tank agitated by an advanced gas dispersion impeller namely deep hollow blade turbine (HEDT) using Computational Fluid Dynamic (CFD) method. The standard k-ε, realizable k-ε and shear-stress transport k-ɷ were considered in this study for comparison purposes. Predictions of the impeller-angle-resolved and time-averaged turbulent flow have been evaluated and compared with data from Particle Image Velocimetry (PIV) measurements. Multiple Reference Frame (MRF) used to capture flow features in details and predicts flow for steady state for the impeller blades relative to the tank baffles. Unsteady solver indeed predicts periodic shedding, and leads to much better concurrence with available experimental data than has been achieve with steady computation. 2012 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6977/1/Computational_Fluid_Dynamics_Of_Advanced_Gas_Dispersion.pdf Norleen, Isa (2012) Computational Fluid Dynamics of Advanced Gas Dispersion: Deep Hollow Blade Turbine. Faculty of Chemical & Natural Resources Engineering, Universiti Malaysia Pahang. http://iportal/lib/item?id=chamo:68792&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Norleen, Isa
Computational Fluid Dynamics of Advanced Gas Dispersion: Deep Hollow Blade Turbine
description Stirred tanks are widely used in the chemical and biochemical process industries. Mixing, fermentation, polymerization, crystallization and liquid-liquid extractions are significant examples of industrial operations usually carried out in tanks agitated by one or more impellers. The flow phenomena inside the tank are of great importance in the design, scale-up and optimization of tasks performed by stirred tanks. This work presents of a stirred tank agitated by an advanced gas dispersion impeller namely deep hollow blade turbine (HEDT) using Computational Fluid Dynamic (CFD) method. The standard k-ε, realizable k-ε and shear-stress transport k-ɷ were considered in this study for comparison purposes. Predictions of the impeller-angle-resolved and time-averaged turbulent flow have been evaluated and compared with data from Particle Image Velocimetry (PIV) measurements. Multiple Reference Frame (MRF) used to capture flow features in details and predicts flow for steady state for the impeller blades relative to the tank baffles. Unsteady solver indeed predicts periodic shedding, and leads to much better concurrence with available experimental data than has been achieve with steady computation.
format Undergraduates Project Papers
author Norleen, Isa
author_facet Norleen, Isa
author_sort Norleen, Isa
title Computational Fluid Dynamics of Advanced Gas Dispersion: Deep Hollow Blade Turbine
title_short Computational Fluid Dynamics of Advanced Gas Dispersion: Deep Hollow Blade Turbine
title_full Computational Fluid Dynamics of Advanced Gas Dispersion: Deep Hollow Blade Turbine
title_fullStr Computational Fluid Dynamics of Advanced Gas Dispersion: Deep Hollow Blade Turbine
title_full_unstemmed Computational Fluid Dynamics of Advanced Gas Dispersion: Deep Hollow Blade Turbine
title_sort computational fluid dynamics of advanced gas dispersion: deep hollow blade turbine
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/6977/
http://umpir.ump.edu.my/id/eprint/6977/
http://umpir.ump.edu.my/id/eprint/6977/1/Computational_Fluid_Dynamics_Of_Advanced_Gas_Dispersion.pdf
first_indexed 2023-09-18T22:03:10Z
last_indexed 2023-09-18T22:03:10Z
_version_ 1777414534060834816