---
name: cfd-analysis-97c1a54d95ec
description: Deep integration with computational fluid dynamics tools for aerodynamic analysis across all flight regimes
allowed-tools:
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metadata:
  version: "1.0"
  category: aerospace-engineering
  tags:
    - aerodynamics
    - cfd
    - simulation
    - fluid-dynamics
graph:
  domains: [domain:aerospace-engineering]
  specializations: [specialization:aerospace-engineering]
  skillAreas: [skill-area:physics-simulation, skill-area:mathematical-reasoning, skill-area:computational-geometry]
  roles: [role:research-engineer, role:computational-scientist]
---

# CFD Analysis Skill

## Purpose
Provide deep integration with computational fluid dynamics tools for comprehensive aerodynamic analysis across subsonic, transonic, supersonic, and hypersonic flight regimes.

## Capabilities
- ANSYS Fluent, OpenFOAM, Star-CCM+ workflow automation
- Mesh generation and quality assessment
- Turbulence model selection and configuration
- Boundary condition specification for various flow regimes
- Post-processing and force/moment extraction
- Mesh independence study automation
- Flow visualization and contour generation
- Convergence monitoring and criteria definition

## Usage Guidelines
- Select appropriate turbulence models based on flow regime and Reynolds number
- Ensure mesh quality metrics meet industry standards before running simulations
- Perform mesh independence studies to validate solution accuracy
- Use appropriate boundary conditions for the specific flight condition
- Monitor residuals and force/moment convergence during simulations
- Document all simulation parameters for traceability and reproducibility

## Dependencies
- ANSYS Fluent
- OpenFOAM
- Star-CCM+
- ParaView
- Tecplot

## Process Integration
- AE-001: CFD Analysis Workflow
- AE-002: Wind Tunnel Test Correlation
- AE-003: Aerodynamic Database Generation


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Product Management
Roles: Data Scientist, Product Manager
Specialties: Specialty not specified
Tools: Openfoam, Paraview, Tecplot, Ansys Fluent, Star Ccm+
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: d7fa697f2a3d3f5046466d6909a03034de12ae0b1fba58f6b7fcbe6751fd63a7