Icing Effects on Airfoil Aerodynamics: Correlation Study
Wind-tunnel datasets compared with CFD to quantify lift/drag penalties and stall behavior.
Abstract: This paper investigates icing effects on airfoil aerodynamics: correlation study with emphasis on modeling assumptions, validation datasets and sensitivity to design variables.
Background: Prior literature indicates competing effects between viscous and inviscid mechanisms; we reconcile these using dimensional analysis.
Methodology: We employ reduced-order models, CFD verification at select operating points, and wind-tunnel baselines for cross-checks.
Results: The study quantifies performance deltas across Reynolds/Mach sweeps and identifies control-effective regions for optimization.
Discussion: We translate measurable gains into system-level benefits—range, payload, and noise trade-spaces—supported by uncertainty bounds.
Conclusion: The framework provides reproducible metrics and a path to certification-applicable design guidance.