Global and Local Flow Modeling and Validation Experiments for Free-running KCS Maneuvering in Waves

Abstract

This proposal is for a 2-year project for global and local flow modeling and validation experiments for free-running KCS maneuvering in waves. The conditions will cover low and medium Froude number; regular (.5/L2, 1/25H/1/50) and irregular (3SS 5) waves; and course keeping and turning circles and zigzag maneuvers in calm water and waves with different initial headings (0IC360). The experiments will build on previous data but with a focus on lower Fr and steeper wave conditions. The experiments will also focus on identifying/separating trends due to the effects of wavelength and height or SS and initial heading and identify conditions forthe local flow measurements in consideration of validation variables and collaborative data driven/mathematical modeling and CFD studies (CNR-INM and NATO-AVT 348). The local flow measurements will use programmed towed conditions based on the selected 6DoF tests; and focus on understanding the nature of the 3D vortex cross flow separations and their interactions with the free sud influences on the forces/moments. The experiments will be performed in IIHRs 40x20x3 m wave basin with 6-plunger type wave makers for regular and irregular waves using a radio controlled ONRT 3 m model. The basins overhead carriage can be used either for tracking or programmable towing using 3DoF (heave, pitch, and roll) or 4DoF (surge, heave, pitch, and roll) mounts for calm water and waves, respectively, including a controllable release system. The KCS has propeller and rudder with propeller revolution and rudder angle controller. Global flow measurements include 6DoF tracking systems (carriage, visual motion capture system on the sub-carriage, and onboard gyroscope) and a dynamometer for ONRT propeller thrust and torque. Local flow measurements include wave gauges, image-based free-surface mapping, and towed volumetric time resolved particle tracking velocimetry (4DPTV). A DURIP FY2021 grant enables acquisition of equipment to support global and local flow modeling and validation experiments for free-running KCS surface combatantd side forces and yaw moment, and metal propellers for enhanced volumetric local flow velocity measurements; (2) 6DoF soft spring mount (surge, sway and yaw linear motor) for measuring horizontal wave drift forces (X,Y) and moment (N) during the model maneuvers; and (3) instrumentation for increased accuracy of the tracking system and the wave maker controller; and lenses for increased spatial resolution 4DPTV. The equipment will significantly augment the validation variables for the data driven/mathematical modeling and CFD studies. The additional information from the maneuvers of the propeller side force, rudder forces and moment and especially wave drift forces and moment are critical variables for modeling. Also, the 6DoF mount removes thecurrent mount deficiencies of fixed yaw effects on roll motion, which is needed for local flow measurements under towed conditions. The proposal includes upgrades of the KCS model for propeller side force measurement system; whole area of rudder force measurement including horn part of the rudder; and model renovation required due to extensive use during previous added power project. The proposed research will expedite our physical understanding and prediction capabilities for naval combatant operations in seaways under a wide range of conditions. The research enabled by the requested equipment will support the University of Iowa initiatives in naval engineering undergraduate and graduate education via Ph.D. and M/S. degrees and undergraduate and graduate courses and certificate and curricula development programs.

Document Details

Document Type
DoD Grant Award
Publication Date
May 05, 2021
Source ID
N000142112399

Entities

People

  • Frederick Stern

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Iowa

Tags

Readers

  • Marine Hydrodynamics
  • Research Science/Academic Research
  • Robotics and Automation.