eprintid: 3189
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/31/89
datestamp: 2023-11-09 15:51:27
lastmod: 2023-11-09 15:51:27
status_changed: 2023-11-09 15:45:11
type: article
metadata_visibility: show
creators_name: Shaari, K.Z.K.
creators_name: Mohd Laziz, A.
creators_name: Heinen, K.
creators_name: Awang, M.
creators_name: Sufian, S.
creators_name: Mahadzir, S.
title: CFD simulation of coaxial jet mixer using RANS turbulent models
ispublished: pub
keywords: Computational fluid dynamics; Diffusion in solids; Fighter aircraft; Forecasting; Heat transfer; Liquids; Microstructure; Mixers (machinery); Nanostructured materials; Turbulent flow; Vortex flow, CFD simulations; Coaxial jet mixers; RANS modeling; Reliable results; Reynolds Averaged Navier-Stokes Equations; Species transport; Turbulent models; Velocity profiles, Navier Stokes equations
note: cited By 1; Conference of 7th International Conference on Diffusion in Solids and Liquids, Mass Transfer - Heat Transfer - Microstructure and Properties - Nanodiffusion and Nanostructured Materials, DSL 2011 ; Conference Date: 26 June 2011 Through 30 June 2011; Conference Code:89746
abstract: The Reynolds Averaged Navier Stokes Equation (RANS) model was used to describe the turbulent flow in a coaxial jet mixer. The effects of turbulent models on the turbulent flow is investigated to help the engineers and researchers in deciding the selection of turbulent model need to be used in order to save the simulation time and to predict the best suitable model to be used. Good agreement of the CFD prediction with the experimental data in certain locations was obtained with species transport and velocity profiled, where dependence of turbulent models and grid sizes were discussed in detail. The results show that, the need of grid study is crucial to obtain reliable results with optimum consumption of computer power. SST and Launder Gibson RSTM models give results superior to the other models, each of which has its own area of capability. Launder Gibson RSTM is good in predicting the flow with recirculation and vortices, while SST is good for the flow with less recirculation and high velocity. The overall results show that RANS model is capable in predicting the area of mixing and the velocity profile correctly in certain locations but not in reproducing the vortices structure in the pipe and nozzle. © (2012) Trans Tech Publications.
date: 2012
publisher: Trans Tech Publications Ltd
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84860826247&doi=10.4028%2fwww.scientific.net%2fDDF.326-328.416&partnerID=40&md5=bb0915e6e661ce411750e92854d26e72
id_number: 10.4028/www.scientific.net/DDF.326-328.416
full_text_status: none
publication: Defect and Diffusion Forum
volume: 326-32
place_of_pub: Algarve
pagerange: 416-421
refereed: TRUE
isbn: 9783037854006
issn: 10120386
citation:   Shaari, K.Z.K. and Mohd Laziz, A. and Heinen, K. and Awang, M. and Sufian, S. and Mahadzir, S.  (2012) CFD simulation of coaxial jet mixer using RANS turbulent models.  Defect and Diffusion Forum, 326-32.  pp. 416-421.  ISSN 10120386