CFD Analysis Skill

SkillDev tools

Deep integration with computational fluid dynamics tools for internal and external flow analysis

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the CFD Analysis Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/mechanical-engineering/skills/cfd-fluids/SKILL.md and read by ahel’s review.

Purpose

The CFD Analysis skill provides deep integration with computational fluid dynamics tools for internal and external flow analysis, enabling systematic setup, execution, and post-processing of fluid simulations.

Capabilities

  • ANSYS Fluent, CFX, OpenFOAM workflow automation
  • Mesh generation for complex geometries (structured, unstructured)
  • Turbulence model selection (k-epsilon, k-omega, SST, LES)
  • Boundary condition specification (inlet, outlet, wall, symmetry)
  • Steady-state and transient flow simulations
  • Post-processing for pressure, velocity, and flow visualization
  • Mesh independence studies and validation
  • Pressure drop and flow coefficient calculations

Usage Guidelines

Pre-Processing

Geometry Preparation
  1. CAD Cleanup

    • Remove small features (< 3 cells)
    • Fill gaps and holes
    • Create smooth transitions
    • Define fluid domain boundaries
  2. Domain Definition

    • Internal flow: Extract fluid volume
    • External flow: Create far-field boundary
    • Symmetry: Identify planes of symmetry
    • Periodic: Define periodic pairs
Mesh Generation
  1. Mesh Types

    TypeApplicationPros/Cons
    Structured hexSimple geometriesHigh quality, more effort
    Unstructured tetComplex geometriesFlexible, more cells
    PolyhedralComplex internalGood quality, moderate count
    HybridMixed regionsOptimized for accuracy
  2. Boundary Layer Mesh

    First cell height: y+ = 1 (wall-resolved)
                      y+ = 30-300 (wall functions)
    
    y = y+ * mu / (rho * u_tau)
    u_tau = sqrt(tau_w / rho)
    
  3. Mesh Quality Criteria

    Orthogonality: > 0.1 (> 0.3 preferred)
    Skewness: < 0.95 (< 0.8 preferred)
    Aspect ratio: < 100 (< 20 near walls)
    

Solver Configuration

Turbulence Models
ModelApplicationWall Treatment
k-epsilon StandardGeneral industrialWall functions
k-epsilon RealizableRotation, separationWall functions
k-omega SSTAerospace, separationLow-Re or wall functions
Spalart-AllmarasExternal aeroLow-Re
LES/DESUnsteady, vortex sheddingWall-resolved
Boundary Conditions
  1. Inlet Conditions

    • Mass flow rate or velocity
    • Turbulence intensity (1-5% typical)
    • Hydraulic diameter or length scale
    • Temperature (if energy equation)
  2. Outlet Conditions

    • Pressure outlet (most common)
    • Outflow (fully developed)
    • Mass flow outlet (specified)
  3. Wall Conditions

    • No-slip (default)
    • Roughness (if significant)
    • Thermal (adiabatic, fixed T, heat flux)
Solution Settings
  1. Discretization Schemes

    Convection: Second-order upwind (accuracy)
                First-order (stability)
    Pressure: PRESTO (complex geometry)
              Standard (simple geometry)
    
  2. Convergence Criteria

    Residuals: < 1e-4 (typical)
               < 1e-6 (high accuracy)
    
    Monitor: Mass imbalance < 0.1%
             Force convergence
    

Post-Processing

  1. Flow Visualization

    • Streamlines and pathlines
    • Velocity vectors
    • Contour plots (P, V, T)
    • Surface integral reports
  2. Quantitative Results

    • Pressure drop
    • Flow coefficient (Cv)
    • Heat transfer coefficient
    • Force and moment

Process Integration

  • ME-010: Computational Fluid Dynamics (CFD) Analysis

Input Schema

{
  "geometry": "CAD file path",
  "flow_type": "internal|external",
  "fluid": {
    "name": "string",
    "density": "number (kg/m3)",
    "viscosity": "number (Pa.s)",
    "specific_heat": "number (J/kg.K, if thermal)"
  },
  "inlet": {
    "type": "velocity|mass_flow|pressure",
    "value": "number",
    "temperature": "number (K, if thermal)"
  },
  "outlet": {
    "type": "pressure|outflow",
    "value": "number (if pressure)"
  },
  "analysis_type": "steady|transient",
  "turbulence_model": "k-epsilon|k-omega-sst|spalart-allmaras|laminar"
}

Output Schema

{
  "flow_results": {
    "pressure_drop": "number (Pa)",
    "flow_coefficient": "number (Cv)",
    "max_velocity": "number (m/s)",
    "reynolds_number": "number"
  },
  "forces": {
    "drag": "number (N)",
    "lift": "number (N)",
    "moment": "array [Mx, My, Mz]"
  },
  "thermal_results": {
    "heat_transfer_rate": "number (W)",
    "average_htc": "number (W/m2.K)",
    "outlet_temperature": "number (K)"
  },
  "mesh_statistics": {
    "cell_count": "number",
    "y_plus_range": [min, max],
    "orthogonality_min": "number"
  },
  "convergence": {
    "iterations": "number",
    "residuals": "object",
    "mass_imbalance": "number"
  }
}

Best Practices

  1. Always perform mesh independence study
  2. Verify y+ values match turbulence model requirements
  3. Monitor mass and energy imbalance
  4. Validate with experimental data when available
  5. Start with steady-state before transient
  6. Use appropriate turbulence model for flow physics

Integration Points

  • Connects with CAD Modeling for geometry
  • Feeds into Thermal Analysis for conjugate heat transfer
  • Supports Heat Exchanger Design for performance prediction
  • Integrates with Test Correlation for validation

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
cfd-fluids
Source
github.com/a5c-ai/babysitter