Numerical Simulation of Sound Generated by Vortex Pairing in a Mixing Layer

AIAA Journal ◽  
10.2514/2.906 ◽  
2000 ◽  
Vol 38 (12) ◽  
pp. 2210-2218 ◽  
Author(s):  
Christophe Bogey ◽  
Christophe Bailly ◽  
Daniel Juve
Keyword(s):  
Numerical Simulation ◽  
Mixing Layer ◽  
Vortex Pairing

Numerical simulation of sound generated by vortex pairing in a mixing layer

AIAA Journal ◽  
2000 ◽  
Vol 38 ◽  
pp. 2210-2218 ◽  
Author(s):  
Christopher Bogey ◽  
Christopher Bailly ◽  
Daniel Juve
Keyword(s):  
Numerical Simulation ◽  
Mixing Layer ◽  
Vortex Pairing

Numerical Simulation of Mixing Enhancement and Suppression in Two-Dimensional Mixing Layer

2011 ◽  
Author(s):  
Masayuki Kawagoe ◽  
Koji Fukagata
Keyword(s):  
Numerical Simulation ◽  
Mixing Layer ◽  
Mixing Enhancement ◽  
Computational Domain ◽  
Momentum Thickness ◽  
Two Dimensional ◽  
Control Effect ◽  
Chemical Product ◽  
Vortex Pairing ◽  
Time Periodic

Direct numerical simulation of two-dimensional mixing layer with time-periodic forcing mimicking the input of piezofilm actuator is performed. Three different forcing frequencies (i.e., the natural frequency, its first subharmonic and second subharmonic frequencies) are examined. Simplified chemical reactions are also taken into account. We investigate whether mixing is promoted or suppressed using two indices: the momentum thickness and the concentration of chemical product. The momentum thickness indicates that the forcing enhances the development of mixing layer near the inlet and suppresses it in the region right downstream. Instantaneous vorticity fields show that the location where the vortex pairing starts depend on the forcing frequency. The effect of forcing on the mixing layer development strongly depends on its frequency: in particular, the forcing at the second subharmonic frequency is found to suppress the development of mixing layer in a wide region. On the other hand, from the chemical product concentration, mixing is found to be promoted regardless of the forcing frequency. We also investigate how far the control effect lasts. It is revealed that in the downstream region the mixing layer thickness develops linearly regardless of the forcing frequency, which in turn suggests that the present numerical simulation is performed in a computational domain large enough to examine the control effect.

One Dimensional Numerical Simulation for Shock Wave including Mixing Layer between Two Sections for the Improvement of Ignition Delay Time Measurement

2020 ◽  
Vol 2020 (0) ◽  
pp. 0199
Author(s):  
Yuta Shinji ◽  
Daisuke Shimokuri ◽  
Hiroshi Terashima ◽  
Akira Miyoshi ◽  
Shimpei Yamada ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Shock Wave ◽  
Ignition Delay ◽  
Delay Time ◽  
Ignition Delay Time ◽  
Mixing Layer ◽  
Time Measurement ◽  
One Dimensional

Diffusion and Mixing in Microchannel Analyzed by the Luminol Chemiluminescence

2013 ◽  
Author(s):  
Ruru Matsuo ◽  
Ryosuke Matsumoto
Keyword(s):  
Numerical Simulation ◽  
Chemical Reaction ◽  
Reaction Rate ◽  
Mixing Layer ◽  
Fluorescence Technique ◽  
Chemiluminescence Intensity ◽  
Luminol Chemiluminescence ◽  
Chemical Reaction Rate ◽  
Pdms Chip ◽  
Reaction Profile

This study focused on the diffusion and mixing phenomena investigated by using luminol chemiluminescence (CL) to estimate the local chemical reaction rate in the T-junction microchannel. Generally, the degree of mixing in microchannel is calculated by the deviation of the obtained concentration profiles from the uniform concentration profile by using fluorescence technique. Thus, the degree of mixing is a macroscopic estimate for the whole microchannel, which is inappropriate for understanding the diffusion and mixing phenomena in the mixing layer. In this study, the luminol CL reaction is applied to visualize the local chemical reaction and to estimate the local diffusion and mixing phenomena at an interface between two liquids in microchannel. Luminol emits blue chemiluminescence when it reacts with the hydrogen peroxide at the mixing layer. Experiments were carried out on the T-junction microchannel with 200 microns in width and 50 microns in depth casted in the PDMS chip. The chemiluminescence intensity profiles clearly show the mixing layer at an interface between two liquids. The experimental results are compared with the results of numerical simulation that involves solving the mass transport equations including the chemical reaction term. By calibrating CL intensity to the chemical reaction rate estimated by the numerical simulation, the local chemical reaction profile can be quantitatively estimated from the CL intensity profile.

Direct Numerical Simulation of Rotating Mixing Layer

1995 ◽  
pp. 298-302
Author(s):  
T. H. Lê ◽  
P. Sagaut ◽  
K. Dang-Tran ◽  
C. Cambon
Keyword(s):  
Numerical Simulation ◽  
Direct Numerical Simulation ◽  
Mixing Layer

Numerical simulation of reacting mixing layer with combined parallel approach

1996 ◽  
pp. 97-104
Author(s):  
Edgard Kessy ◽  
Alexei Stoukov ◽  
Dany Vandromme
Keyword(s):  
Numerical Simulation ◽  
Mixing Layer

Numerical Simulation for Free Turbulent Reacting Flow by Particle Method

2003 ◽  
Author(s):  
Tomomi Uchiyama ◽  
Naohiro Otsuki
Keyword(s):  
Numerical Simulation ◽  
Chemical Reaction ◽  
Mixing Layer ◽  
Particle Method ◽  
Reacting Flows ◽  
Single Step ◽  
Reacting Flow ◽  
Turbulent Reacting Flows ◽  
Plane Mixing Layer ◽  
Irreversible Chemical Reaction

This paper presents a particle method for free turbulent reacting flows. The vorticity and concentration fields are discretized into the vortex and concentration elements, respectively, and the behavior of the elements is calculated with the Lagrangian method. The chemical reaction is estimated through the Lagrangian calculation for the strength of concentration element. The particle method is applied to simulate a plane mixing layer with a single-step and irreversible chemical reaction of non-premixed reactants so as to discuss the applicability.

Direct numerical simulation of a particle-laden mixing layer with a chemical reaction

2005 ◽  
Vol 31 (7) ◽  
pp. 843-866 ◽  
Author(s):  
Takenobu Michioka ◽  
Ryoichi Kurose ◽  
Kouichi Sada ◽  
Hisao Makino
Keyword(s):  
Numerical Simulation ◽  
Direct Numerical Simulation ◽  
Chemical Reaction ◽  
Mixing Layer
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