
In this module, we lay the foundation for every advanced motion and meshing simulation in OpenFOAM: mesh quality.
You will learn how to systematically detect, analyze, and fix bad cells that cause solver instability, slow convergence, or complete simulation failure.
We go beyond simply running checkMesh and move into interpreting the results, understanding why certain mesh problems occur, and applying targeted fixes depending on the issue.
By the end of this module, you will be able to:
Identify common mesh defects such as non-orthogonality, skewness, concave cells, and negative volumes
Locate problematic cells visually and numerically
Apply mesh corrections using snapping, refinement, and mesh controls
Decide when a mesh is “good enough” for advanced motion simulations
Prepare meshes that remain stable under MRF, sliding, dynamic, and overset mesh motion
This module ensures your simulations start on solid ground, saving you hours of trial-and-error later in the course.
In this module, we introduce the simplest and most computationally efficient way to model motion in OpenFOAM: rotating wall boundary conditions.
Rotating walls are used to represent motion where the mesh itself remains stationary, but the wall velocity changes due to rotation. This approach is commonly applied to wheels, rollers, drums, impellers, and rotating machinery housings.
You will learn:
When rotating walls are the correct modeling choice (and when they are not)
How to prescribe rotational speed, axis, and origin correctly
The difference between absolute and relative motion at boundaries
How rotating walls affect the flow field and solver stability
Common mistakes that lead to incorrect velocities or non-physical results
By the end of this module, you will be able to confidently apply rotating wall boundary conditions as a first step toward more advanced motion techniques such as MRF, sliding meshes, and dynamic meshes, which are covered later in the course.
In this module, we move beyond rotating walls and introduce Multiple Reference Frame (MRF) simulations, a powerful technique used to model rotating machinery within a stationary mesh.
MRF allows you to define rotating regions inside the computational domain while keeping the simulation steady-state, making it significantly more efficient than time-accurate sliding or dynamic mesh approaches.
MRF is widely used for simulating fans, pumps, compressors, turbo-machinery, and propellers when transient effects are not required.
In this module, you will learn:
The physical concept behind Multiple Reference Frames
How MRF differs from rotating walls and sliding mesh approaches
How to define rotating zones, axes, and angular velocities
How to correctly set up MRF in OpenFOAM
Common setup errors and how to debug them
How to interpret results from MRF simulations
By the end of this module, you will be able to confidently build stable, efficient MRF simulations and understand when MRF is the correct modeling choice versus more advanced transient methods covered later in the course.
In this module, we take the next major step in motion modeling by introducing sliding mesh simulations in OpenFOAM.
Unlike rotating walls and MRF, sliding meshes explicitly rotate the mesh itself and exchange information across moving interfaces, allowing you to capture true transient effects such as blade-passing interactions and unsteady flow phenomena.
Sliding mesh simulations are commonly used for rotors, turbines, compressors, gear systems, and rotating machinery where time-accurate physics are required.
In this module, you will learn:
When sliding meshes are required instead of MRF
The physical and numerical principles behind sliding interfaces
How to define rotating and stationary mesh regions
How to set up sliding interfaces correctly in OpenFOAM
Time-step selection and stability considerations
Common errors and how to fix them
By the end of this module, you will be able to build robust, time-accurate sliding mesh simulations and understand the trade-offs between accuracy and computational cost compared to MRF.
In this module, we introduce dynamic mesh simulations, where the computational mesh moves and deforms in time to follow prescribed motion.
Dynamic meshes allow you to model cases where objects translate, rotate, oscillate, or deform while maintaining a single, connected mesh. This approach is commonly used for valves, pistons, flapping surfaces, moving boundaries, and mechanisms with complex motion.
In this module, you will learn:
The difference between sliding meshes and dynamic meshes
How dynamic mesh motion is defined and controlled in OpenFOAM
Prescribing linear, rotational, and oscillatory motion
Mesh deformation techniques and quality control
How to prevent mesh distortion
Time-step and stability considerations for dynamic motion
By the end of this module, you will be able to confidently set up robust dynamic mesh simulations and understand when dynamic meshes are the correct choice compared to sliding or overset mesh approaches.
In this module, we introduce overset mesh simulations, one of the most flexible approaches for modeling complex relative motion in OpenFOAM.
Overset meshes allow multiple, independent meshes to overlap and move freely relative to one another, removing many of the mesh quality limitations found in sliding or deforming mesh approaches.
This technique is especially powerful for simulations involving multiple moving bodies, large relative motion, or complex geometries, such as vehicles with rotating wheels, store separation, moving machinery, and aerospace applications.
In this module, you will learn:
The fundamental concept behind overset (chimera) meshes
How overset meshes differ from dynamic and sliding meshes
Defining background and overset regions correctly
Overset interpolation
Common overset mesh stability issues and how to fix them
Performance and accuracy considerations
By the end of this module, you will be able to build robust overset mesh simulations and confidently decide when overset meshes are the best choice for your motion problem.
In this module, we focus on reducing computational cost while maintaining accuracy — a critical skill for running advanced motion simulations efficiently.
Complex simulations involving MRF, sliding meshes, dynamic meshes, and overset meshes can quickly become computationally expensive if not configured correctly. In this module, you will learn how to identify performance bottlenecks and apply targeted optimizations.
You will learn:
How mesh resolution and refinement impact runtime
Choosing appropriate time steps and Courant limits
Parallelization strategies and efficient domain decomposition
By the end of this module, you will be able to run advanced OpenFOAM simulations faster, more reliably, and with greater confidence, saving hours—or even days—of computational time.
This is an advanced, hands-on OpenFOAM course focused on real motion simulations — not CFD theory.
Advanced OpenFOAM CFD: Dynamic Meshes And Motion is a practical, hands-on course designed for OpenFOAM users who want to simulate real-world motion accurately, efficiently, and with confidence.
Motion simulations are where many OpenFOAM cases fail — not because the solver is wrong, but because the mesh, motion setup, or modeling choice is incorrect. This course teaches you how to avoid those mistakes and confidently model motion found in rotating machinery, vehicles, aerospace systems, and moving mechanisms.
Rather than focusing on theory, this course shows you exactly how to set up, run, debug, and optimize advanced motion simulations in OpenFOAM.
You will learn how to simulate motion using the most important advanced OpenFOAM techniques, including:
Finding and fixing bad mesh cells that cause instability and divergence
Applying rotating wall boundary conditions correctly
Building efficient Multiple Reference Frame (MRF) simulations
Running time-accurate sliding mesh simulations
Prescribing motion with dynamic meshes
Handling complex relative motion using overset meshes
Choosing the right motion approach for each problem
Reducing computational time and making simulations run faster
Each concept is demonstrated through real CFD simulations, not toy examples.
This course walks through 7 complete CFD simulations, showing how to prescribe:
Linear motion
Rotational motion
Oscillatory motion
You also receive master OpenFOAM files that you can copy, modify, and reuse for your own projects — saving hours of setup and debugging time.
This course is ideal for:
OpenFOAM users who already know the basics and want to move into advanced motion simulations
CFD engineers working in automotive, aerospace, turbomachinery, or rotating machinery
Students and researchers who need reliable motion modeling for real projects
This course is not for complete beginners with no OpenFOAM experience.
By the End of This Course
You will be able to:
Confidently simulate rotating, moving, and deforming geometries
Debug and stabilize motion-related OpenFOAM cases
Choose the most efficient modeling approach for any motion problem
Run advanced simulations faster and more reliably
If you already know how to run basic OpenFOAM cases and want to simulate real motion, this course will take you to the next level.