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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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 |
_version_ |
1724557400200970240 |