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1. Flow in a Mixing Chamber
The sliding mesh capability of the solver GenIDLEST is tested by the simulation of rotor-stator mixing chamber. The vorticity contours and the angular velocity contours obtained at Re=10,000 is shown in the animation. The movement of the grid near the interface is shown in the bottom right corner. .. .
2. Deposition and Erosion of Syngas Ash in a Film Cooled Leading Edge
The animation shows Deposition/Erosion of syngas ash particles in a film cooled leading edge. A non-dimensional threshold temperature of 0.43 (1100K) is assumed, above which the particles are deposited on the surface upon impact. Once particles deposited, they are removed from calculation. Particles with temperature below the softening temperature are solid .. .
3. Leading Edge Film Cooling
The animation shows film cooling flow in the blade leading edge region. Mainstream Reynolds number is 100,000 and coolant-to-mainstream blowing ratio is 0.8. The dynamics of the jet-mainstream interaction are shown by the iso-surface of the coherent structures. Surface temperature illustrates the surface coverage of the coolant in time. The hot .. .
4. Unsteady Aerodynamics of Flapping flight at Re of 20000
The animation shows the particle tracing and vorticity isosurface of flapping flight at Re of 20000 and advance ratio of 0.5. The particle streaklines are obtained by releasing mass less particles along the spanwise direction in front of leading edge. A stable leading edge vortex (LEV) is formed during the downstroke, .. .
5. Dragonfly Flight
The animation shows the particle tracing and vorticity isosurface of flapping flight at Re of 20000 and advance ratio of 0.5. The particle streaklines are obtained by releasing mass less particles along the spanwise direction in front of leading edge. A stable leading edge vortex (LEV) is formed during the downstroke, .. .
6. Electrokinetically Induced Mixing in a Microchamber for Lab-on-a-Chip Applications
Two constituent species are fed continuously into the microchamber and a net flow is imposed on the system from left to right by applying a pressure gradient to the horizontal microchannels. For mixing to be effective, the time taken for a fluid particle to traverse across the microchamber due to the .. .
7. Study of Electrokinetically Induced Mixing in a Closed Microchamber
Shown is the mixing in a microchamber with strategically placed microbaffles. It is assumed that the microbaffles do not contribute to the electroosmotic flow but simply act as neutral structures. The microbaffles create a clockwise rotational cell inside the microchamber thereby enhancing mixing. .. .
8. Simulations Of Electrophoretic Separation in a Micro Channel
The animations shows the electrophoretic separation of the analyte flowing in a cross microchannel. The electroosmotic flow is induced by applying a potential at the ends of the channel during injection and separation.The computational domain is divided into 28 blocks with each block having a grid size of 32x32. The simulation .. .
9. Turbulent Heat Transfer in Ribbed Channels for Internal Turbine Blade Cooling Applications. Animation 2
Re = 20,000 Rib Height/Hydraulic Diameter = 0.0625 Rib pitch/rib height = 10 Rotation number = 0.3 The animation exemplifies the effect of rotation and Coriolis forces on vorticity production and heat transfer.The trailing surface of the channel (bottom in animation) is highly turbulent with a large increase in heat transfer coefficient, whereas the leading .. .
10. Turbulent Heat Transfer in Ribbed Channels for Internal Turbine Blade Cooling Applications. Animation 1
Re = 20,000 Rib Height/Hydraulic Diameter = 0.0625 Rib pitch/rib height = 10 Rotation number = 0.0
The animation shows the correlation between coherent vorticity and unsteady heat transfer from the channel walls(Only the bottom ribbed wall with part of the side wall is shown). The passage of coherent vorticity correlates with regions of high .. .
11. Group Animation 4 (flow): Flow Induced by Moving Boundaries
Group Animation 4 (flow): This is a sample simulation highlighting the Arbitrary Lagrangian Eulerian (ALE) capability of GEN-IDLEST. The wall movement is governed by y(t) = A*cos(pi*x)*cos(w*t). Vorticity contours overlaid with velocity vectors are shown. This capability can be applied to external moving boundaries as well as moving immersed bodies. The .. .
12. Group Animation 3 (flow): Flow Induced by Moving Boundaries
Group Animation 3 (flow): This is a sample simulation highlighting the Arbitrary Lagrangian Eulerian (ALE) capability of GEN-IDLEST. The wall movement is governed by y(t) = A*cos(pi*x)*cos(w*t). Vorticity contours overlaid with velocity vectors are shown. This capability can be applied to external moving boundaries as well as moving immersed bodies. The .. .
13. Group Animation 2 (mesh): Flow Induced by Moving Boundaries
Group Animation 2 (mesh):This is a sample simulation highlighting the Arbitrary Lagrangian Eulerian (ALE) capability of GEN-IDLEST. The wall movement is governed by y(t) = A*cos(pi*x)*cos(w*t). Vorticity contours overlaid with velocity vectors are shown. This capability can be applied to external moving boundaries as well as moving immersed bodies. The methodology .. .
14. Group Animation 1(mesh): Flow Induced by Moving Boundaries
Animation 1(mesh): This is a sample simulation highlighting the Arbitrary Lagrangian Eulerian (ALE) capability of GEN-IDLEST. The wall movement is governed by y(t) = A*cos(pi*x)*cos(w*t). Vorticity contours overlaid with velocity vectors are shown. This capability can be applied to external moving boundaries as well as moving immersed bodies. The methodology can .. .
15. Vortex Street in the Wake of a Circular Cylinder
The animation shows one shedding cycle in the wake of a circular cylinder at Re=100. A block structured O-grid is used in GEN-IDLEST. The computational domain is divided into 8 blocks with each block having a grid size of 32x128. The simulation was done on 8 CPUs of an SGI Power .. .
16. Direct Simulations of Free/Forced Convection in a Conference Room Geometry (Animation 2)
The animation shows particle trajectories which are injected at the inlet vents at two instants in time. The first batch is injected at the start of the simulation and the other after some time has gone by. The conference room is rendered using Wavefront. The particles are color coded by their .. .
17. Direct Simulations of Free/Forced Convection in a Conference Room Geometry (Animation 1)
This animation shows a cross-sectional slice of the temperature field in a realistic conference room geometry during a cooling cycle. The red objects simulate a table and chair bounding boxes on either side. This simulation was done on 128 nodes of the CM-5 on a 128x128x128 grid. The Reynolds number is .. .
18. 3D Simulations of Louver-Tube Junction Flow and Heat Transfer in Corrugated Multilouvered Flat tube Heat Exchangers (Re = 1100) Animation 5: Unsteady Tempearture and Heat Transfer on Bottom surface of Louver
The signature of the vortex jet can be seen on the louver surface near the flat landing near the leading edge. The detachment and subsequent formation of the jet has an effect on heat transfer but is not quite as strong as on the top surface of the louver. .. .
19. 3D Simulations of Louver-Tube Junction Flow and Heat Transfer in Corrugated Multilouvered Flat tube Heat Exchangers (Re = 1100) Animation 4: Unsteady Temperature and Heat Transfer on Top surface of Louver
Of specific interest is the blue region at the leading edge of the louver near the flat landing, which periodically extends all the way to the trailing edge of the louver. The phenomenon is related to large flow velocities in the vicinity of the louver surface, which is correlated to the .. .
20. 3D Simulations of Louver-Tube Junction Flow and Heat Transfer in Corrugated Multilouvered Flat tube Heat Exchangers (Re = 1100) Animation 3: Temperature and Spanwise vorticity on Top Surface of Louver
The animation shows the evolution of spanwise vorticity in the vicinity of the louver surface and its effect on the temperature field and heat transfer. The vorticies shed from a louver convect about four louver pitches before dissipating. Vorticity Contours: (Red-positive; black-negative) Temperature contours: (Red - low heat transfer; Blue - high .. .
21. 3D Simulations of Louver-Tube Junction Flow and Heat Transfer in Corrugated Multilouvered Flat tube Heat Exchangers (Re = 1100) Animation 2: Temperature and Streamtubes at bottom of louver
The injected streamtubes capture an energetic "vortex jet" at the bottom of the louver. The jet forms as a result of the decreased flow area between louvers and the rotational energy imparted by the swept leading edge of the louver. The jet is quite unsteady and the core of the jet .. .
22. 3D Simulations of Louver-Tube Junction Flow and Heat Transfer in Corrugated Multilouvered Flat tube Heat Exchangers (Re = 1100) Animation 1: Computational Domain
Shown is the periodic computational domain around a single half louver. The louver angle transitions from 25 degrees to a flat landing which adjoins the tube surface. Fully developed flow and heat transfer is assumed. The transition region is characterized by decreased flow area between subsequent louvers and also by a .. .
23. Study of Flow and Heat Transfer in Offset Strip Fin Heat Exchangers (Animation 5) Temperature Contours for Staggered Fin Arrangement at Re=720
For this geometry, when the flow becomes unstable, vortices are shed from the back of the fin surface and also from the front tips of the fin. Since,the vertical spacing between two adjacent fins for the staggered fin arrangement is twice that of the inline arrangement (Animation 1, Animation 2) the .. .
24. Study of Flow and Heat Transfer in Offset Strip Fin Heat Exchangers (Animation 4) Temperature Contours for Staggered Fin Arrangement at Re=1246
This simulation shows a 4x2 fin arrangement of Animation 3. Description of Contour Levels: RED represents the HOT fin surface temperature BLUE represents the COLD fluid temperature. .. .
25. Study of Flow and Heat Transfer in Offset Strip Fin Heat Exchangers (Animation 3) Temperature Contours for Staggered Fin Arrangement at Re=1246
Flow at this high Reynolds number shows strong interaction between the vortices and the boundary layers on the top and bottom fin surfaces than in Simulation 5. An additional lower frequency was also observed in this simulation. Description of Contour Levels: RED represents the HOT fin surface temperature BLUE represents the .. .
26. Study of Flow and Heat Transfer in Offset Strip Fin Heat Exchangers(Animation 2) Temperature Contours for Inline Fin Arrangement at Re=2191
Flow at this higher Reynolds number shows a strong interaction between the vortices shed behind the fins and the boundary layers on the top and bottom fin surfaces.In Simulation 1, a single frequency associated with heat transfer enhancements was observed. However, for the present simulation, an additional lower frequency was captured. .. .
27. Study of Flow and Heat Transfer in Offset Strip Fin Heat Exchangers (Animation 1): Temperature Contours for Inline Fin Arrangement at Re=706
For this geometry at low Reynolds numbers, the flow is steady and laminar. As the Reynolds number increases, the flow becomes unsteady and vortices start to shed behind the fins. The vortices shed from the front row simply convect downstream and have little interactions with the boundary layers on the top .. .
28. Scalar Transport in separating and reattaching flow over a blunt plate
The animation visualizes separating and reattaching flow on a blunt plate. This simulation was done to study the dynamic interaction between large-scale spanwise vortices with a passive scalar field. The animation box is set on top of the plate with the left lower corner at the leading edge of the plate. .. .
29. Unsteady Flow Over The Letters CFD
The animation shows the time history of spanwise vorticity over the letters CFD showcasing the capability of the computer program IDLEST in simulating complex obstacles. The simulation is done on 32 nodes of the CM-5. The calculation domain is discretized using 512x256 zones. The Reynolds number is 1000. .. .
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HPCFD Group, Virginia Tech, 2002
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