25_pimpleSol
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0. Preface
In the previous discussion, we examined the PIMPLE algorithm in detail and briefly looked at some code snippets of the PIMPLE algorithm framework in OpenFOAM.
Here, we will implement the code based on our discussion of the algorithm and understand the usage of some code.
This section primarily discusses:
- Implementation of the PIMPLE algorithm
- Computing the cavity test case
1. Governing Equations
The governing equations are as follows:
Continuity equation (mass equation):
Momentum equation:
The following assumptions are still applied:
- Viscous term is simplified
- Gravity is neglected
- Density has been accounted for
Note that the momentum equation includes a transient term.
2. Project Preparation
Run the following commands in the terminal to create the project:
ofsp
foamNewApp ofsp_25_pimpleSol
cd ofsp_25_pimpleSol
cp -r $FOAM_TUTORIALS/incompressible/icoFoam/cavity/cavity debug_case
code .2.1. Documentation File
Provide a documentation file for the project:
## About
A solver that simply reproduces the PIMPLE algorithm.
## Bio
aerosand @ aerosand
## Caution
Pay attention to the OpenFOAM version.
## Deploy
Ensure the solver files are complete and include the debug_case folder
Enter the following commands in the terminal:
./Allclean
./Allrun
## Event
@20260313
- Added scripts #done2.2. Script Files
We continue to use the previous scripts. Unless modified in the future, they will not be elaborated further.
Run the following command in the terminal to create the scripts:
code {Allclean,Allrun}The cleaning script Allclean is as follows:
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The run script Allrun is as follows:
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Do not worry about the scripts; as the discussion deepens, we will continuously expand the script content and try different writing styles.
3. Project Implementation
We will implement the PIMPLE algorithm with the simplest code possible.
3.1. Main Source Code
Considering the discussion in 24_pimple, implement the main framework of the PIMPLE algorithm in the main source code:
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It can be seen that the main algorithm framework is the same as discussed in the previous section.
3.2. Field Inclusion
The field inclusion createFields.H is the same as in the previous solvers, as follows:
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3.3. Momentum Predictor
The momentum predictor is in UEqn.H, with the following code:
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3.4. Pressure-Momentum Correction
The pressure-momentum correction is in pEqn.H, with the following code:
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Tip
Note that for ease of understanding, non-orthogonal correction is not performed here. Since the cavity test case used later has a simple mesh, this has no impact.
3.5. Project Make
As discussed above, this solver does not use additional libraries, so no extra linking specifications are needed in the project Make.
The Make/files content is as follows:
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The Make/options content is as follows:
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3.6. Compilation
Run the following command in the terminal to compile the entire project:
wclean
wmakeCompilation is successful with no issues.
3.7. Test Case
We adjust the copied test case to test the above solver.
Modify the control dictionary controlDict as follows:
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Modify the solution dictionary fvSolution as follows:
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Other files remain unchanged.
3.6. Compilation and Execution
Compile the project:
wclean
wmakeRun the project:
./Allclean
./AllrunPost-process visualization:
paraFoam -case debug_caseThe calculation results can be viewed in ParaView.
4. Summary
Through the implementation and discussion of the solver project, I believe we now have a relatively comprehensive understanding of the PIMPLE algorithm and solver implementation.
Looking back at these algorithm discussions, we have roughly clarified the main ideas of various algorithms and their simplified code implementations. The idea of pressure-velocity coupling runs through almost all types of computational fluid dynamics solvers in OpenFOAM. Many cases are extensions based on these core algorithms.
As readers adjust the code themselves and compare it with native solvers, they will find many code statements that have been streamlined in our discussion.
On one hand, to facilitate understanding of the main algorithm ideas, we avoided involving other details. Do not worry; we will discuss and explain them all in the future. On the other hand, we used the cavity test case as a debugging case, which is relatively simple. Even without “boundary condition constraints,” “consistency checks,” etc., it can still produce usable results.
This section has completed the following discussions:
- Implementation of the PIMPLE algorithm
- Computing the cavity test case
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Copyright @ 2026 Aerosand
- Course (text, images, etc.):CC BY-NC-SA 4.0
- Code derived from OpenFOAM:GPL v3
- Other code:MIT License
