One dimentional problems(flow) in CFD

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In summary, One dimensional flow refers to flow where the variables only change in one direction, such as in the Couette Flow and the General Heat Equation. However, 1D CFD solvers have limited capabilities and can only solve for simple geometries. They can still be useful for understanding spatial and time derivatives, and a pseudo-2D code can be created to simulate complex flow patterns.
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mahaesh
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Hi everyone

My question is
What is the meaning of one dimensional problem(flow)? Can one dimensional problem(flow) solve in CFD? If the answer is yes then How?
 
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Any 1-D flow is simply flow where the variables only change in one direction. Look at the common Couette Flow, which is typically used to introduce analytic solutions to the Navier-Stokes Equations.

In this flow, the fluid starts at rest between two plates. At t=0, the top plate moves at a velocity U. If you assume that the plate is infinitely deep and long, then the flow only changes in the vertical direction between the plates.

From another standpoint, one can look at the General Heat Equation, which I believe looks something like:

[tex] \frac{\partial^2 T}{\partial x^2} + \frac{\partial^2 T}{\partial y^2} +\frac{\partial^2 T}{\partial z^2} = \frac{1}{\alpha}\frac{\partial T}{\partial t} [/tex]

If you consider a case like a flat wall, i.e. a very tall wall in your house. You can assume that there is no change in the vertical direction and no change "into the page." If you then assume that the solutions is steady state, you're left with the much simpler equation:

[tex] \frac{\partial^2 T}{\partial x^2} =0 [/tex]

1D CFD solvers can't typically solve much though. I the flow is 1D, then the geometry must also be 1D. That means essentially you have a long staight tube. Nothing really happens.

With that said, a 1D solver for the wave equation is extremely useful in learning how spatial and time derivatives behave. I have written one, and I can probably assume most people who have studied it have as well.

Beyond that, one can write a pseudo-2D code, which at that point can be extremely cool. A code like this solves the equations in 1D, but then adds a source term which simulations a change in area. My old CFDII final was this project. The area was in such a way that it simulated a choked nozzle. The results were perfect.
 

What is CFD?

CFD stands for Computational Fluid Dynamics. It is a branch of fluid mechanics that uses numerical methods and algorithms to solve and analyze problems related to fluid flow and heat transfer.

What are one-dimensional problems in CFD?

One-dimensional problems in CFD refer to fluid flow problems that can be described using one independent variable, such as time or distance. These problems are simplified versions of more complex three-dimensional problems and are often used for initial analysis and understanding of fluid flow behavior.

What are the main applications of one-dimensional CFD problems?

One-dimensional CFD problems are commonly used in the design and analysis of fluid systems, such as piping networks, ventilation systems, and heat exchangers. They are also used in the automotive and aerospace industries for the design of engine and aerodynamic components.

What are the limitations of one-dimensional CFD problems?

One-dimensional CFD problems have limitations in accurately representing complex three-dimensional flow phenomena, such as turbulence and flow separation. They also do not take into account the effects of geometry variations and boundary conditions, which can significantly affect the flow behavior.

What are the numerical methods used in one-dimensional CFD?

The most commonly used numerical methods for solving one-dimensional CFD problems are the finite difference method and the finite volume method. These methods discretize the flow domain into smaller control volumes and use numerical algorithms to solve the governing equations for each volume.

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