Doctoral Thesis Proposal: Yong-Boon Kong

*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************

Event Details
  • Date/Time:
    • Monday December 5, 2016 - Tuesday December 6, 2016
      9:00 am - 10:59 am
  • Location: Montgomery Knight Building Rm 317
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
No contact information submitted.
Summaries

Summary Sentence: "Development of a Finite State Coaxial Rotor Dynamic Inflow Model"

Full Summary: Yong-Boon Kong will present plans for doctoral research entitled ""Development of a Finite State Coaxial Rotor Dynamic Inflow Model" before a committe to include faculty advisor Prof. J. V. R Prasad

Ph.D. Thesis Proposal by

Yong-Boon Kong

Advisor: Prof. J.V.R. Prasad

DEVELOPMENT OF A FINITE STATE COAXIAL ROTOR DYNAMIC INFLOW MODEL

9 a.m. Monday, December 5

Montgomery-Knight Building Room 317

ABSTRACT

Accurate modeling of rotor inflow dynamics in flight simulations is crucial for rotorcraft performance and handling qualities evaluations. While inflow predictions based on momentum theory give good results in hover, they do not produce the accuracy needed in forward flight. On the other hand, high-fidelity Computational Fluid Dynamics (CFD) models take up a significant amount of computational time to be feasible for use in real-time simulators. The finite state Peters-He inflow model satisfies both accurate inflow prediction and computational efficiency requirements. However, the inflow model is only applicable for single rotor configurations.

Recent published work on coaxial rotor configurations focus on performance related studies, which are not compatible for use in real-time rotor inflow simulations. The main challenge in coaxial rotor inflow modeling is to account for mutual aerodynamic interference effects between upper and lower rotors. While system identification approach can be used to obtain dynamic models associated with rotor inflows, this method is only feasible for small scale coaxial rotor Unmanned Aerial Vehicles (UAVs). For full scale vehicles such as the Sikorsky S-97 Raider, mathematical models to predict rotor inflows are still the desirable option.

In this work, a novel approach to formulate a coaxial rotor inflow model from first principles by superposition of upper and lower rotor pressure loadings is explored. By representing both rotors’ pressure and downwash with harmonic and radial expansion terms, a finite state coaxial rotor inflow model known as the Pressure Potential Superposition Inflow Model (PPSIM) is developed. Effects of both rotors mutual aerodynamic interferences are taken into account in PPSIM inflow equation. Steady hover inflow predictions from PPSIM match well with CFD results. In forward flight, corrections to PPSIM inflow equation to account for wake distortion effects are identified using GT-Hybrid (free-wake model) solutions. An analytical method is used to identify time delays associated with propagation of upper rotor inflow perturbations onto lower rotor. Time delay terms are incorporated into PPSIM and evaluation of its dynamic responses is performed.

Committee Members:

  • Professor J.V.R. Prasad AE, Georgia Tech
  • Professor Lakshmi N. Sankar AE, Georgia Tech
  • Professor Marilyn J. Smith AE, Georgia Tech
  • Professor Daniel P. Schrage AE, Georgia Tech
  • Professor David A. Peters, Washington University in St. Louis

Additional Information

In Campus Calendar
Yes
Groups

School of Aerospace Engineering

Invited Audience
Faculty/Staff, Public, Undergraduate students, Graduate students
Categories
Conference/Symposium
Keywords
aerospace, doctoral research, proposal
Status
  • Created By: Kathleen Moore
  • Workflow Status: Published
  • Created On: Nov 11, 2016 - 7:35pm
  • Last Updated: Apr 13, 2017 - 5:13pm