Turbulence Models Application in Air Flow of Crossflow Turbine

Using the CFD method as the initial analysis for experiments has more benefits, including saving time and costs. The variable of flow parameters and geometry can be easily developed to get the desired results. However, research is needed to improve the accuracy of the results and the optimality of t...

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Main Authors: Gun Gun R. Gunadi, Ahmad Indra Siswantara, Budiarso
Format: Article
Language:English
Published: Universitas Indonesia 2018-12-01
Series:International Journal of Technology
Subjects:
Online Access:http://ijtech.eng.ui.ac.id/article/view/2636
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spelling doaj-92a8017a6a79490f832b097bb75b826b2020-11-25T03:34:48ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002018-12-01971490149710.14716/ijtech.v9i7.26362636Turbulence Models Application in Air Flow of Crossflow TurbineGun Gun R. Gunadi0Ahmad Indra Siswantara1Budiarso2Department of Mechanical Engineering, Politeknik Negeri Jakarta, Depok 16424, IndonesiaDepartment of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, IndonesiaDepartment of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, IndonesiaUsing the CFD method as the initial analysis for experiments has more benefits, including saving time and costs. The variable of flow parameters and geometry can be easily developed to get the desired results. However, research is needed to improve the accuracy of the results and the optimality of the calculation process; the study of complex turbulent flow modelling becomes very important. The k-? model and renormalization group (RNG) k-? model are widely used in research to produce the appropriate models and develop the constants value. This turbulent flow modelling research was conducted to improve the result accuracy and the calculation process optimality in the turbulent flow of crossflow turbine. Research was done by comparing the simulation results of k-? model with different constants and RNG k-? model. The k-? model with kinetic Prandtl 0.8, 0.9, 1, 1.1, 1.2 and the RNG k-? model show different results for predicting the average pressure and velocity distribution in the turbulent flow of crossflow turbine, and likewise for turbulent parameters. The RNG k-? model has more accuracy than the k-? model, although the k-? model’s simulation time is quite short. Therefore, complex fluid flow recommends RNG k-? model.http://ijtech.eng.ui.ac.id/article/view/2636k-? modelRNG k-? modelTurbulent flow
collection DOAJ
language English
format Article
sources DOAJ
author Gun Gun R. Gunadi
Ahmad Indra Siswantara
Budiarso
spellingShingle Gun Gun R. Gunadi
Ahmad Indra Siswantara
Budiarso
Turbulence Models Application in Air Flow of Crossflow Turbine
International Journal of Technology
k-? model
RNG k-? model
Turbulent flow
author_facet Gun Gun R. Gunadi
Ahmad Indra Siswantara
Budiarso
author_sort Gun Gun R. Gunadi
title Turbulence Models Application in Air Flow of Crossflow Turbine
title_short Turbulence Models Application in Air Flow of Crossflow Turbine
title_full Turbulence Models Application in Air Flow of Crossflow Turbine
title_fullStr Turbulence Models Application in Air Flow of Crossflow Turbine
title_full_unstemmed Turbulence Models Application in Air Flow of Crossflow Turbine
title_sort turbulence models application in air flow of crossflow turbine
publisher Universitas Indonesia
series International Journal of Technology
issn 2086-9614
2087-2100
publishDate 2018-12-01
description Using the CFD method as the initial analysis for experiments has more benefits, including saving time and costs. The variable of flow parameters and geometry can be easily developed to get the desired results. However, research is needed to improve the accuracy of the results and the optimality of the calculation process; the study of complex turbulent flow modelling becomes very important. The k-? model and renormalization group (RNG) k-? model are widely used in research to produce the appropriate models and develop the constants value. This turbulent flow modelling research was conducted to improve the result accuracy and the calculation process optimality in the turbulent flow of crossflow turbine. Research was done by comparing the simulation results of k-? model with different constants and RNG k-? model. The k-? model with kinetic Prandtl 0.8, 0.9, 1, 1.1, 1.2 and the RNG k-? model show different results for predicting the average pressure and velocity distribution in the turbulent flow of crossflow turbine, and likewise for turbulent parameters. The RNG k-? model has more accuracy than the k-? model, although the k-? model’s simulation time is quite short. Therefore, complex fluid flow recommends RNG k-? model.
topic k-? model
RNG k-? model
Turbulent flow
url http://ijtech.eng.ui.ac.id/article/view/2636
work_keys_str_mv AT gungunrgunadi turbulencemodelsapplicationinairflowofcrossflowturbine
AT ahmadindrasiswantara turbulencemodelsapplicationinairflowofcrossflowturbine
AT budiarso turbulencemodelsapplicationinairflowofcrossflowturbine
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