CFD Mesh Generation: Overview

CFD mesh generation is essential for faster, more accurate, stable, and converged solutions. There are three main grid classifications.

1) Structured: A grid where cells are arranged in a regular, ordered pattern.

2) Unstructured: A grid with no regular pattern, where cells (e.g., triangles, tetrahedra, or polyhedral) are connected arbitrarily.

3) Hybrid: A combination of structured and unstructured grids, leveraging both strengths.

The type of grid and its quality define the overall analysis. Poor-quality meshes introduce numerical errors and increase computational effort, while better-quality meshes increase convergence rate.

The "best" grid type depends on the specific CFD application, computational resources, and user expertise. In computational fluid dynamics (CFD), the choice of grid type—structured, unstructured, or hybrid—depends on the problem geometry, computational requirements, and desired accuracy.

What is the future of mesh generation in the current time, when faster turnaround of results and AI/ML applications are becoming common?

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Computational fluid dynamics had shown significant development in software capability and hardware during the last two decades. It has become an essential tool in various product development stages and is used actively in advanced research technology. Renewable energy varies from traditional to new resources such as biomass, fuel cells, water, wind, and solar. These renewable sources are playing a significant role in electric generation, and both energy producers and consumers are demanding more deployment of these sources. There is a great advantage in using numerical simulation methods for innovative renewable technologies such as wind energy, biomass, solar power, hydropower, gas and steam turbines, fuel cells, tidal, wave, and many others. CFD analysis provides an additional resource for these innovative renewable energy sources to predict results that can save time and money and reduce physical prototyping and testing resources. CFD applications are valuable tool in renewable energy sources, helping understand these methods advantages and usage.*

* Kumar, S., Amano, R.S. (2022). Approach to Solve Renewable Energy Problems. In: Gupta, A.K., De, A., Aggarwal, S.K., Kushari, A., Runchal, A.K. (eds) Advances in Energy and Combustion. Green Energy and Technology. Springer, Singapore.