TY - GEN
T1 - Turbulence model and validation of air flow in crossflow turbine nozzle
AU - Pujowidodo, Hariyotejo
AU - Siswantara, Ahmad Indra
AU - Budiarso,
AU - Gunadi, Gun Gun R.
AU - Daryus, Asyari
N1 - Publisher Copyright:
© 2018 Author(s).
PY - 2018/8/16
Y1 - 2018/8/16
N2 - As an initial analysis, numerical simulation has more advantages in saving time and costs compared with experiments. Variations in flow conditions and geometry can be adjusted easily to get results. CFD methods with k-ϵ model, RNG k-ϵ model and Reynolds Stress Model (RSM) widely used in research on objects and different conditions, to be produced on the appropriate model to use and the development of value constants. Modeling studies appropriately in the turbulent flow simulation in the crossflow turbine nozzle is done to get a more accurate result. The study was conducted by comparing the results of the simulation k-ϵ model, RNG k-ϵ model and Reynolds Stress Model (RSM), which is validated by the test results. The air gas has a static pressure of 1,55 bar, a temperature of 971 K, a density of 0,39 kg/m3, a viscosity of 4×10-5 m2/s and a mass flow rate of 0,32 kg/s. By comparing the simulation results k-ϵ model, RNG k-ϵ model and Reynolds Stress Model (RSM), which is validated by the test results the third model of turbulent give good results to predict the distribution of velocity and pressure of the fluid flow in the crossflow turbine nozzle. As for predicting the turbulent kinetic energy, turbulent dissipation rate, and turbulent effective viscosity, RSM turbulence models recommend to be used for complex physical geometry.
AB - As an initial analysis, numerical simulation has more advantages in saving time and costs compared with experiments. Variations in flow conditions and geometry can be adjusted easily to get results. CFD methods with k-ϵ model, RNG k-ϵ model and Reynolds Stress Model (RSM) widely used in research on objects and different conditions, to be produced on the appropriate model to use and the development of value constants. Modeling studies appropriately in the turbulent flow simulation in the crossflow turbine nozzle is done to get a more accurate result. The study was conducted by comparing the results of the simulation k-ϵ model, RNG k-ϵ model and Reynolds Stress Model (RSM), which is validated by the test results. The air gas has a static pressure of 1,55 bar, a temperature of 971 K, a density of 0,39 kg/m3, a viscosity of 4×10-5 m2/s and a mass flow rate of 0,32 kg/s. By comparing the simulation results k-ϵ model, RNG k-ϵ model and Reynolds Stress Model (RSM), which is validated by the test results the third model of turbulent give good results to predict the distribution of velocity and pressure of the fluid flow in the crossflow turbine nozzle. As for predicting the turbulent kinetic energy, turbulent dissipation rate, and turbulent effective viscosity, RSM turbulence models recommend to be used for complex physical geometry.
KW - RNG k-ϵ Model
KW - Reynolds Stress Model (RSM)
KW - Turbulence Model
KW - k-ϵ Model
UR - http://www.scopus.com/inward/record.url?scp=85052400994&partnerID=8YFLogxK
U2 - 10.1063/1.5050007
DO - 10.1063/1.5050007
M3 - Conference contribution
AN - SCOPUS:85052400994
SN - 9780735417175
T3 - AIP Conference Proceedings
BT - Proceedings of the 9th International Conference on Thermofluids 2017, THERMOFLUID 2017
A2 - Hohne, Thomas
A2 - Pranoto, Indro
A2 - Deendarlianto, null
A2 - Majid, Akmal Irfan
A2 - Wiranata, Ardi
A2 - Widyaparaga, Adhika
A2 - Takei, Masahiro
PB - American Institute of Physics Inc.
T2 - 9th International Conference on Thermofluids 2017, THERMOFLUID 2017
Y2 - 9 November 2017 through 10 November 2017
ER -