Influence of Turbulence Model on Numerical Simulation of Transonic Buffet over a Delta Wing

2016 ◽  
Vol 64 (4) ◽  
pp. 229-235
Author(s):  
Yoimi KOJIMA ◽  
Masaharu KAMEDA ◽  
Atsushi HASHIMOTO ◽  
Takashi AOYAMA
2003 ◽  
Vol 3 (1-2) ◽  
pp. 201-207
Author(s):  
H. Nagaoka ◽  
T. Nakano ◽  
D. Akimoto

The objective of this research is to investigate mass transfer mechanism in biofilms under oscillatory flow conditions. Numerical simulation of turbulence near a biofilm was conducted using the low Reynold’s number k-ɛ turbulence model. Substrate transfer in biofilms under oscillatory flow conditions was assumed to be carried out by turbulent diffusion caused by fluid movement and substrate concentration profile in biofilm was calculated. An experiment was carried out to measure velocity profile near a biofilm under oscillatory flow conditions and the influence of the turbulence on substrate uptake rate by the biofilm was also measured. Measured turbulence was in good agreement with the calculated one and the influence of the turbulence on the substrate uptake rate was well explained by the simulation.


2014 ◽  
Vol 535 ◽  
pp. 66-70
Author(s):  
Chen Hong Zhao ◽  
Yong Gang Lei

Heat transfer and resistance characteristics of a tube inserted delta-winglet (inclination angle is 10 °) are studied by numerical simulation. The results show that the delta-winglet enhance the heat transfer of the enhancement tube inserted delta-winglet and improve the PEC with modest pressure drop penalties. Compared with based tubes, the delta-wings structure enhance the heat transfer 19.52%-31%.


2018 ◽  
Vol 30 (4) ◽  
pp. 249-260 ◽  
Author(s):  
Saber Azad ◽  
Hamed Amiri Moghadam ◽  
Alireza Riasi ◽  
Hossien Mahmoodi Darian

2011 ◽  
Vol 130-134 ◽  
pp. 3624-3627
Author(s):  
W.L. Wei ◽  
Zhang Pei ◽  
Y.L. Liu

In this paper, we use two-phase mixture model and the Realizable k-ε turbulence model to numerically simulate the advection secondary flow in a sedimentation tank. The PISO algorithm is used to decouple velocity and pressure. The comparisons between the measured and computed data are in good agreement, which indicates that the model can fully simulate the flow field in a sedimentation tank.


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