Novel Hybrid Vorticity Transport CFD for Rotorcraft Analysis

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911W6-10-C-0019
Agency Tracking Number: A092-020-1733
Amount: $69,831.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2009
Solicitation Topic Code: A09-020
Solicitation Number: 2009.2
Small Business Information
34 Lexington Avenue, Ewing, NJ, 08618
DUNS: 096857313
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Glen Whitehouse
 (609) 538-0444
Business Contact
 Barbara Agans
Title: Director, Business Administration
Phone: (609) 538-0444
Research Institution
Accurate performance prediction is critical to rotorcraft design and development, and while significant gains have been made in rotorcraft CFD-CSD methods, predicting unsteady wake aerodynamics remains a significant challenge. Current analysis tools can theoretically model the complete rotorcraft, but are hampered by modeling assumptions (for Lagrangian methods) and numerical formulation (for CFD). Commonly used analysis tools fail to adequately predict the load distribution on arbitrarily shaped rotors and fuselages and the wake induced unsteadiness. The proposed effort addresses these limitations by building upon prior work in rotorcraft CFD-CSD coupling to develop an innovative hybrid vorticity transport CFD method for predicting aerodynamics in comprehensive rotorcraft analyses. Enabled by work at CDI developing a hybrid vorticity-velocity formulated CFD solver (VorTran-M), the proposed approach, consisting of a fully coupled OVERFLOW-VorTran-M hybrid analysis that can directly interface with the U.S. Army’s RCAS comprehensive analysis will improve airloads prediction capabilities by capturing blade vortex interactions, as well as rotor-fuselage and main-rotor-tail-rotor interactions. Phase I will see enhancement of a prototype OVERFLOW VorTran-M coupling developed in prior work, along with an assessment of the influence of viscous terms on wake evolution and an investigation of methods to enhance the computational performance on massively parallel computers.

* Information listed above is at the time of submission. *

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