Experimental Performance of a Flapped Hydrofoil in Calm Water at Low Froude Numbers.

Abstract

Results of an experimental investigation are presented for the subcavitating hydrodynamic force performance of an aspect ratio 6, NACA 64 A010 foil section, plain-flapped, rectangular planform hydrofoil. The forward-leading sting-supported foil model was operated in calm water in the speed range of chord Froude numbers 1.22 to 4.23, at five depth-to-chord submergence ratios varying from 0.25 to 4.0. The results, presented in coefficient form, include the basic measured foil-along lift and drag, increments and flap effectiveness due to flap deflection, and the inferred variation of hydrofoil drag-due-to-lift for lift coefficients as high as 1.0. These data cover an important low Froude number speed regime not normally included in published hydrofoil performance experiments. Comparisons are made between the experimental results for residual drag and two different analytical prediction schemes for the hydrofoil total drag-due-to-lift. It is shown that experimental values for residual drag are bounded below and above by the two prediction methods considered, and that the discrepancies are largest at low Froude numbers. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1982
Accession Number
ADA118190

Entities

People

  • Michael B. Wilson

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Aerodynamic Characteristics
  • Aspect Ratio
  • Boundary Layer
  • Computers
  • Data Reduction
  • Displacement
  • Drag
  • Equations
  • Flow
  • Friction
  • Froude Number
  • Instrumentation
  • Materials
  • Measurement
  • Simulators
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Aerodynamics/Aeronautics.
  • Marine Propulsion Engineering and Naval Architecture
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks