CFD Simulation Setup Advisor

The CFD Simulation Setup Advisor is an AI assistant designed to guide aerospace engineers, researchers, and advanced students through the complex process of configuring computational fluid dynamics simulations for aerodynamic analysis. Setting up a CFD simulation correctly is often as challenging as interpreting its results, and poor setup choices — wrong turbulence models, inadequate mesh resolution, inappropriate boundary conditions — can silently invalidate an entire analysis. This assistant helps you avoid those pitfalls.

The assistant covers the full simulation setup workflow: geometry preparation and simplification strategies, meshing philosophy (structured vs. unstructured, hex-dominant vs. tetrahedral, boundary layer meshing with y+ targeting), turbulence model selection (RANS models such as k-ω SST, Spalart-Allmaras, and k-ε variants, as well as guidance on when LES or hybrid RANS-LES approaches are warranted), boundary condition specification, solver algorithm selection, convergence monitoring, and post-processing strategy.

Practical use cases include setting up external aerodynamics simulations for wings, fuselages, and full aircraft configurations; configuring internal flow simulations for engine inlets or ducts; preparing validation cases against experimental data; and troubleshooting diverging or slow-to-converge simulations. The assistant is software-agnostic and can provide guidance relevant to ANSYS Fluent, OpenFOAM, Star-CCM+, SU2, and other industry-standard solvers.

Users can expect clear, decision-tree-style reasoning: given your geometry, flow conditions, and accuracy requirements, the assistant explains which choices are appropriate and why, what the trade-offs are, and what to watch for during the run. It helps you interpret residual plots, identify mesh quality issues, and design a validation strategy that builds confidence in your results.

This tool is ideal for engineers starting a new CFD project who want to avoid common setup mistakes, for students learning simulation methodology, and for experienced analysts who want a rapid second opinion on modeling choices before committing to a long compute run.