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STEADY STATE 2D SIMULATION OF PRANDTL MEYER EXPANSION FAN USING CONVERGE CFD …
Ramkumar Venkatachalam
updated on 30 May 2022
STEADY STATE 2D SIMULATION OF PRANDTL MEYER EXPANSION FAN USING CONVERGE CFD
(WEEK-5 CHALLENGE)
Our aim is to setup a steady state 2D simulation of Prandtl Meyer shock flow for subsonic and supersonic velocity in converge with different sub grid scaling, simulate it using Cygwin terminal and post process in Paraview and compare the results.
Structure of CONVERGE CFD simulations
The basic steps for a simulation are as follows,
Shock Waves
Shock waves are strong pressure waves in any elastic medium such as air, water or a solid substance. It is produced by supersonic aircrafts, explosion, lightning or other phenomena which create violent changes in pressure.
How Shock Waves are created?
In subsonic conditions, the sound waves will travel faster that the flow particles and hit the obstacle in front and the information is passed on to the following flow particles so that the particles change the path smoothly.
But in supersonic condition, the flow particles travel faster than the speed of sound so there is no information the on the obstacle due to which the it hits the obstacle and then the returning and oncoming particles collide each other and create shock waves.
If the shock waves are perpendicular to the flow direction then it is called as normal shock wave. If it is inclined at an angle then it is called as Oblique shock waves. A shock wave is when lots of energy comes from a very small spot and shakes the material around it.
A shock wave can move through any material. An earthquake is a shockwave traveling through the ground. Shock waves can also be felt in the water. A shock wave is affected by the materials it travels through, and different materials have different effects. A thick material, like water, might help the shock wave travel further, whereas a thin material, like air, would not. This is similar to the way that sound waves are affected by what they move through, but sound waves and shock waves are not the same. The above plot shows how the pressure varies with time for a shock wave and expansion wave.
Prandtl Meyer Expansion Fan
A supersonic expansion fan, technically known as Prandtl–Meyer expansion fan, a two-dimensional shock wave, is a centered expansion process that occurs when a supersonic flow i.e., at a Mach number more than 1 turns around a convex corner.
This fan consists of an infinite number of Mach waves, diverging from a sharp corner. When a flow turns around a smooth and circular corner, these waves can be extended backwards to meet at a point.
Each wave in the expansion fan turns the flow gradually (in small steps). It is physically impossible for the flow to turn through a single "shock" wave because this would violate the second law of thermodynamics.
Across the expansion fan, the flow accelerates (velocity increases) and the Mach number increases, while the static pressure, temperature and density decrease. Since the process is isentropic, the stagnation properties (e.g. the total pressure and total temperature) remain constant across the fan.
The theory was described by Theodor Meyer on his thesis dissertation in 1908, along with his advisor Ludwig Prandtl.
Shock Flow Boundary Conditions
The boundary conditions in general are defined in many ways namely Dirichlet, Neumann, Robin, Mixed, and Cauchy.
Note - Dirichlet and Neumann are predominantly used boundary condition types.
In Prandtl–Meyer expansion fan problem where the supersonic flow, shocks are involved the boundaries are defined in a certain way such as
Adaptive Mesh Refinement
The adaptive mesh refinement is a common strategy for significant numerical investigation, a method of adapting the accuracy of a solution within certain sensitive or turbulent regions of simulation, dynamically and during the time the solution is being calculated.
Usually when the equations are solved numerically to find solutions, the fluid domain grid size, and quantity are predefined. There are many problems in numerical analysis, however, do not require a uniform precision in the numerical grids for computational simulation, and would be better suited if specific areas of fluid domain is precisely discretized spatially to add precision to the solution and capture important physical phenomena.
Adaptive mesh refinement provides such a dynamic programming environment for adapting the precision of the numerical computation based on the requirements of a computation problem in specific areas of multi-dimensional graphs which need precision while leaving the other regions of the multi-dimensional graphs at lower levels of precision and resolution.
This dynamic technique of adapting computation precision to specific requirements has been accredited to Marsha Berger, Joseph Oliger, and Phillip Colella who developed an algorithm for dynamic gridding called local adaptive mesh refinement.
Problem – Prandtl Meyer Expansion Fan
The challenge includes steady state 2D simulation of Prandtl Meyer Shock flow for subsonic and supersonic inlet velocity with different sub grid scaling and to compare the results.
Mesh Size - dx = dy = dz = 0.8 m
Adaptive Mesh Refinement – Max Embedding level – 2, Sub grid scale – 0.1, 0.05, 0.03
The geometry file (.stl) is imported in Converge Studio and scaled in meters as per the figure given below.
Geometry
Fig: Scaling the domain
Fig: Mesh
Fig: Boundaries of the domain
Zone |
Type |
Boundary Condition |
Additional conditions (if any) |
Inlet |
Velocity Inlet |
Inlet Velocity – 100 m/s and 678 m/s |
Steady State, Density Based Inlet Pressure – 101000 Pa Inlet Temperature – 286 K |
Outlet |
Neumann Boundary |
Neumann Boundary |
|
Top and Bottom Wall |
Fixed Wall |
Slip |
|
Front and Back |
2D |
2D |
Case 1 (Inlet Velocity – 100 m/s, Sub-grid Scale – 0.1)
Fig: Mesh Fig: Total Cell Count
Fig: Mass Flow Rate Plot
Fig: Total Pressure Plot Fig: Pressure Contour
Fig: Average Density Plot Fig: Density Contour
Fig: Average Temperature Plot Fig: Temperature Contour
Fig: Average Velocity Plot Fig: Velocity Contour
Fig: Mach number Plot
Animation Link
Mesh - https://youtu.be/46D4egztMpM
Temperature - https://youtu.be/GOrPR1dRbvg
Case 2A (Inlet Velocity – 678 m/s, Sub-grid Scale – 0.1)
Fig: Mesh Fig: Total Cell Count
Fig: Mass Flow Rate Plot
Fig: Total Pressure Plot Fig: Pressure Contour
Fig: Average Density Plot Fig: Density Contour
Fig: Average Temperature Plot Fig: Temperature Contour
Fig: Average Velocity Plot Fig: Velocity Contour
Fig: Mach number Plot
Animation Link
Mesh - https://youtu.be/pxYbzZHDUbM
Temperature - https://youtu.be/wAq7Fesj3Kc
Case 2B (Inlet Velocity – 678 m/s, Sub-grid Scale – 0.05)
Fig: Mesh Fig: Total Cell Count
Fig: Mass Flow Rate Plot
Fig: Total Pressure Plot Fig: Pressure Contour
Fig: Average Density Plot Fig: Density Contour
Fig: Average Temperature Plot Fig: Temperature Contour
Fig: Average Velocity Plot Fig: Velocity Contour
Fig: Mach number Plot
Animation Link
Mesh - https://youtu.be/6Covnv6nEco
Temperature – https://youtu.be/jUfKIlJc8Go
Case 2C (Inlet Velocity – 678 m/s, Sub-grid Scale – 0.03)
Fig: Mesh Fig: Total Cell Count
Fig: Mass Flow Rate Plot
Fig: Total Pressure Plot Fig: Pressure Contour
Fig: Average Density Plot Fig: Density Contour
Fig: Average Temperature Plot Fig: Temperature Contour
Fig: Average Velocity Plot Fig: Velocity Contour
Fig: Mach number Plot
Animation Link
Mesh - https://youtu.be/OY0TGWWY3OU
Temperature - https://youtu.be/x5hXy-j7en4
6. CONCLUSION
7. REFERENCES
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