Evaluation of different turbulence models for simulation of shock train in a convergent-divergent nozzle
سال
: 2012
چکیده: Abstract
In this paper, shock train behavior in two-dimensional
convergent-divergent nozzle (CDN) has been
investigated numerically using various turbulence
models including k-. renormalized group (k-w.
RNG), shear stress transport k-. model (K-w. SST),
Spalart-Allmaras (S-A) and Reynolds stress model
(RSM). The results are compared with experimental
data and analytical relations. The results show that the
data obtained by k-. SST and S-A models are
appropriate to the cornet case. The results of RSM better
than the K-. RNG model, so that squared correlation
coefficient (R2) for RSM is an average 15.5% more
than k-. RNG model. Suitable agreement between the
experimental and numerical results validates the
numerical method and confirms its ability to model the
similar cases.
In this paper, shock train behavior in two-dimensional
convergent-divergent nozzle (CDN) has been
investigated numerically using various turbulence
models including k-. renormalized group (k-w.
RNG), shear stress transport k-. model (K-w. SST),
Spalart-Allmaras (S-A) and Reynolds stress model
(RSM). The results are compared with experimental
data and analytical relations. The results show that the
data obtained by k-. SST and S-A models are
appropriate to the cornet case. The results of RSM better
than the K-. RNG model, so that squared correlation
coefficient (R2) for RSM is an average 15.5% more
than k-. RNG model. Suitable agreement between the
experimental and numerical results validates the
numerical method and confirms its ability to model the
similar cases.
کلیدواژه(گان): shock train– convergent-divergent nozzle
(CDN) - turbulence models- Reynolds stress model
(RSM)
کالکشن
:
-
آمار بازدید
Evaluation of different turbulence models for simulation of shock train in a convergent-divergent nozzle
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| contributor author | سیدمحمود موسوی | en |
| contributor author | احسان روحی گل خطمی | en |
| contributor author | Seyed Mahmood Mousavi | fa |
| contributor author | Ehsan Roohi | fa |
| date accessioned | 2020-06-06T14:07:43Z | |
| date available | 2020-06-06T14:07:43Z | |
| date copyright | 10/16/2012 | |
| date issued | 2012 | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/3383545 | |
| description abstract | Abstract In this paper, shock train behavior in two-dimensional convergent-divergent nozzle (CDN) has been investigated numerically using various turbulence models including k-. renormalized group (k-w. RNG), shear stress transport k-. model (K-w. SST), Spalart-Allmaras (S-A) and Reynolds stress model (RSM). The results are compared with experimental data and analytical relations. The results show that the data obtained by k-. SST and S-A models are appropriate to the cornet case. The results of RSM better than the K-. RNG model, so that squared correlation coefficient (R2) for RSM is an average 15.5% more than k-. RNG model. Suitable agreement between the experimental and numerical results validates the numerical method and confirms its ability to model the similar cases. | en |
| language | English | |
| title | Evaluation of different turbulence models for simulation of shock train in a convergent-divergent nozzle | en |
| type | Conference Paper | |
| contenttype | External Fulltext | |
| subject keywords | shock train– convergent-divergent nozzle (CDN) - turbulence models- Reynolds stress model (RSM) | en |
| identifier link | https://profdoc.um.ac.ir/paper-abstract-1030660.html | |
| conference title | The First National Aerodynamics and Hydrodynamics Conference | en |
| conference location | تهران | fa |
| identifier articleid | 1030660 |