Turbulence Model and Validation of Air Flow in Wind Tunnel
As an initial analysis, numerical simulation has more advantages in saving time and costs regarding experiments. For example, variations in flow conditions and geometry can be adjusted easily to obtain results. Computational fluid dynamics (CFD) methods, such as the k-? model, renormalization g...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2016-12-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | http://ijtech.eng.ui.ac.id/article/view/277 |
| _version_ | 1797966684231827456 |
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| author | Gun Gun Ramdlan G. Ahmad Indra Siswantara Budiarso Asyari Daryus Hariyotejo Pujowidodo |
| author_facet | Gun Gun Ramdlan G. Ahmad Indra Siswantara Budiarso Asyari Daryus Hariyotejo Pujowidodo |
| author_sort | Gun Gun Ramdlan G. |
| collection | DOAJ |
| description | As an initial analysis,
numerical simulation has more advantages in saving time and costs regarding experiments. For example, variations in flow
conditions and geometry can be adjusted easily to obtain results. Computational
fluid dynamics (CFD) methods, such
as the k-? model, renormalization
group (RNG) k-? model and reynolds stress model (RSM), are widely used to
conduct research on different
objects and conditions. Choosing the appropriate model helps produce and develop
constant values.
Modeling studies as appropriate, i.e., in the turbulent flow simulation in the wind
tunnel, is
done to get a more accurate result. This study was conducted by comparing the results of
the simulation k-? model, RNG k-? model and RSM, which is validated by the test
results. The air had a
density of 1,205 kg/m3, a viscosity of 4×10-5 m2/s
and a normal speed of 6 m/s. By comparing the simulation results of the k-? model, RNG k-? model and RSM, which is
validated by the test results, the third turbulence
model provided good results to predict the distribution of speed
and pressure of the fluid flow in the wind tunnel. As for predicting the
turbulent kinetic energy, turbulent dissipation rate and turbulent effective
viscosity, the k-?
model was effectively
used with comparable results to the RSM models. |
| first_indexed | 2024-04-11T02:19:12Z |
| format | Article |
| id | doaj.art-43e965f6d2654f6da0c16467f037c819 |
| institution | Directory Open Access Journal |
| issn | 2086-9614 2087-2100 |
| language | English |
| last_indexed | 2024-04-11T02:19:12Z |
| publishDate | 2016-12-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj.art-43e965f6d2654f6da0c16467f037c8192023-01-03T00:16:42ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002016-12-01781362137210.14716/ijtech.v7i8.277277Turbulence Model and Validation of Air Flow in Wind TunnelGun Gun Ramdlan G.0Ahmad Indra Siswantara1Budiarso2Asyari Daryus3Hariyotejo Pujowidodo4Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia. Department of Mechanical Engineering, Politeknik Negeri Jakarta, Depok 16Department 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, IndonesiaDepartment of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia. Department of Mechanical Engineering, Universitas Darma Persada, Jl. RadiDepartment of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, IndonesiaAs an initial analysis, numerical simulation has more advantages in saving time and costs regarding experiments. For example, variations in flow conditions and geometry can be adjusted easily to obtain results. Computational fluid dynamics (CFD) methods, such as the k-? model, renormalization group (RNG) k-? model and reynolds stress model (RSM), are widely used to conduct research on different objects and conditions. Choosing the appropriate model helps produce and develop constant values. Modeling studies as appropriate, i.e., in the turbulent flow simulation in the wind tunnel, is done to get a more accurate result. This study was conducted by comparing the results of the simulation k-? model, RNG k-? model and RSM, which is validated by the test results. The air had a density of 1,205 kg/m3, a viscosity of 4×10-5 m2/s and a normal speed of 6 m/s. By comparing the simulation results of the k-? model, RNG k-? model and RSM, which is validated by the test results, the third turbulence model provided good results to predict the distribution of speed and pressure of the fluid flow in the wind tunnel. As for predicting the turbulent kinetic energy, turbulent dissipation rate and turbulent effective viscosity, the k-? model was effectively used with comparable results to the RSM models.http://ijtech.eng.ui.ac.id/article/view/277k-? modelReynolds Stress Model (RSM)RNG k-? modelTurbulent flowTurbulence Model |
| spellingShingle | Gun Gun Ramdlan G. Ahmad Indra Siswantara Budiarso Asyari Daryus Hariyotejo Pujowidodo Turbulence Model and Validation of Air Flow in Wind Tunnel International Journal of Technology k-? model Reynolds Stress Model (RSM) RNG k-? model Turbulent flow Turbulence Model |
| title | Turbulence Model and Validation of Air Flow in Wind Tunnel |
| title_full | Turbulence Model and Validation of Air Flow in Wind Tunnel |
| title_fullStr | Turbulence Model and Validation of Air Flow in Wind Tunnel |
| title_full_unstemmed | Turbulence Model and Validation of Air Flow in Wind Tunnel |
| title_short | Turbulence Model and Validation of Air Flow in Wind Tunnel |
| title_sort | turbulence model and validation of air flow in wind tunnel |
| topic | k-? model Reynolds Stress Model (RSM) RNG k-? model Turbulent flow Turbulence Model |
| url | http://ijtech.eng.ui.ac.id/article/view/277 |
| work_keys_str_mv | AT gungunramdlang turbulencemodelandvalidationofairflowinwindtunnel AT ahmadindrasiswantara turbulencemodelandvalidationofairflowinwindtunnel AT budiarso turbulencemodelandvalidationofairflowinwindtunnel AT asyaridaryus turbulencemodelandvalidationofairflowinwindtunnel AT hariyotejopujowidodo turbulencemodelandvalidationofairflowinwindtunnel |