CFD Analysis Interpretation & Validation for Aerodynamicists
Systematically interpret CFD results and validate aerodynamic coefficients against experimental data
What You Can Do
You can systematically post-process CFD simulation outputs to extract aerodynamic coefficients (CL, CD, CM) and flow separation characteristics, then cross-reference results against experimental data to validate simulation fidelity. The skill helps you distinguish between numerical artifacts and genuine aerodynamic phenomena, investigate complex flow behaviors like shock-boundary layer interactions and high-lift separation, and document aerodynamic changes between design iterations with technical confidence.
Features
Systematically pull CL, CD, CM, and separation characteristics from CFD datasets across multiple operating conditions
Cross-reference computational results against wind tunnel or flight test data to assess simulation fidelity and identify discrepancies
Distinguish between numerical artifacts (mesh errors, convergence issues) and real flow physics phenomena in transonic and high-lift regimes
Analyze complex phenomena including shock-boundary layer interactions, separation bubbles, buffet onset, and asymmetric flow behavior
Quantify aerodynamic effects of Reynolds number, Mach, and angle-of-attack variations for design trade studies
Troubleshoot CFD solution reliability and mesh-induced errors before communicating results to design teams
Generate structured aerodynamic change memos comparing design alternatives with validated coefficient deltas
Organize validated aerodynamic coefficients for integration into flight dynamics and performance modeling workflows
Example Output
Example 1: Transonic Drag Validation
- Input: CFD Mach 0.78, altitude 35,000 ft, CL = 0.45
- Claude analyzes shock position, boundary layer state, and wave drag contribution
- Output: "Computed CD = 0.0187 vs. wind tunnel 0.0192 (2.6% error). Shock position matches experimental schlieren within 2% chord. Wave drag dominance confirmed; recommend Mach 0.76 cruise for 4-count drag reduction."
Example 2: High-Lift Anomaly Detection
- Input: CFD separation bubble on flapped wing at 18° AoA, sudden CL drop
- Claude cross-checks mesh resolution, convergence history, and experimental stall behavior
- Output: "Separation bubble detected; y+ = 0.8 near leading edge confirms adequate resolution. Physics-based stall: bubble growth matches wind tunnel oil-flow visualization. Recommend leading-edge modification to delay stall 2° higher."
Example 3: Design Trade Sensitivity
- Input: Three airfoil candidates, Mach 0.72, altitude sweep 25k–43k ft
- Claude extracts CL/CD envelopes for each variant
- Output: Structured table showing cruise efficiency gains per variant (+0.8%, −0.5%, +1.2%) with Reynolds effects quantified; recommends Variant C for fleet operations.
What's Included
- SKILL.md: Complete CFD interpretation framework with post-processing checklists
- CFD validation template: Structured comparison worksheet (computational vs. experimental data, error assessment, anomaly flags)
- Aerodynamic coefficient extraction checklist: Step-by-step guidance for CL, CD, CM, and separation characteristic identification
- Flow physics interpretation framework: Decision tree for distinguishing numerical artifacts from real phenomena in transonic and high-lift regimes
- Design sensitivity analysis worksheet: Mach, Reynolds, AoA variation impact quantification for trade studies
Who It's For
- Aerodynamicists analyzing CFD results from ANSYS Fluent, OpenFOAM, or Star-CCM+ simulations
- Aircraft conceptual and preliminary design engineers validating aerodynamic databases
- CFD engineers troubleshooting convergence issues or mesh-induced numerical errors
- Flight dynamics and performance modeling specialists preparing validated coefficient tables
- Test engineers correlating wind tunnel or flight test data with computational predictions
Best For
- Post-processing CFD outputs to extract force coefficients at multiple flight conditions
- Validating computational results against experimental benchmarks for design confidence
- Investigating complex flow phenomena (transonic shock interactions, separation bubbles, buffet)
- Comparing aerodynamic trade-offs between design alternatives with quantified deltas
- Documenting aerodynamic changes between design iterations with technical rigor
- Performing Reynolds number and Mach sensitivity analysis for envelope mapping
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