🌊Particle-based Computational Fluid Dynamics (CFD) is a numerical method used to simulate fluid flows by representing the fluid as a collection of discrete particles or fluid parcels. One of the popular particle-based CFD methods is the Moving Particle Semi-implicit (MPS) method.🌊💦
The MPS method is a meshless Lagrangian approach, which does not require a fixed grid to solve the fluid equations. Instead, it discretizes the fluid domain into particles, and the properties of the fluid, such as velocity, pressure, and density, are represented by these particles.🌊💦
📢 It is important to note that while particle-based methods like MPS have certain advantages, they also have their limitations, and accurately representing complex fluid physics can be challenging in particle-based CFD simulations.
As research in CFD continues to evolve, different techniques and improvements are being explored to address the limitations and further enhance the capabilities of particle-based CFD methods like MPS.
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