About Me

I am an Aerospace Engineer with specialties in flutter, fluid structure interactions, and the use of CFD in a production environment. My dissertation shows how to improve the state-of-the-art unsteady CFD performance by 2 orders of magnitude. I am an engineer, a pilot, a marksman, a husband, and a dad.
Showing posts with label aerodynamics. Show all posts
Showing posts with label aerodynamics. Show all posts

Tuesday, March 27, 2012

Project: Helicopter Rotor Unsteady Aerodynamics

Helicopter Rotor Unsteady Aerodynamics

Charles O’Neill
April 26, 2002

Helicopters can’t fly; they’re just so ugly the earth repels them.  
-- Anonymous

This paper will discuss four areas of unsteady helicopter rotor aerodynamics. First, this paper discusses the classical harmonic solutions to rotational aerodynamics and their relationship to the fundamental Theodorsen  solution. Second, modern solution techniques are discussed. Finally, the paper describes wake interactions and their noise production implications.

From: A. R. S. Bramwell, Helicopter Dynamics. New York: John Wiley & Sons, 1976 

Unsteady helicopter aerodynamics are complicated. An understanding of the governing physics is possible by isolating simplified systems. Early contributions were based on harmonic analysis. These methods predicted the basic governing fluid physics and warned about blade-wake interactions. Most modern solutions are based on discrete flow representations and computational solutions. These solutions allowed high resolution studies of fluid flow at the expense of physical insight. These discrete flow methods confirmed the blade-wake interaction sensitivities. Blade-wake interactions are shown to create intense and directional disturbances.

The helicopter rotor is a fundamentally unsteady aerodynamic process. Rotor analysis goes from simple 1D shed vorticity models to fully 3D transient turbulent experiments. While the fundamentals of unsteady rotor ?ow are known, an overall theory with a closed form solution is clearly impossible. Further developments in unsteady helicopter aerodynamics will continue as long as the helicopter is a viable transportation vehicle.

The full paper is available here.



Thursday, March 8, 2012

Capstone Senior Design Project AIAA 2001 Design-Build-Fly UAV “Shamu


Capstone Senior Design Project:
 AIAA 2001 Design-Build-Fly UAV “Shamu"
A capstone senior design project completes a formal undergraduate engineering program. Thus, much like the architectural capstone, the engineering capstone course proves, finalizes and protects the underlying structure. My aerospace engineering senior design course at Oklahoma State University followed this tradition by being a semester long, high pressure, team oriented, and successful UAV (Unmanned Aerial Vehicle). Starting from nothing, we designed, built, and flew a competition winning UAV in 4 months.

On runway just before a testflight







Vehicle, Mission, and Competition

The AIAA Design-Build-Fly (DBF) contest provides a yearly international competitive environment for university aerospace engineering students when given a specified mission profile and physical constraints. For 2001, the DBF contest tasked teams with flying two payloads, low density tennis balls and high density steel, around a given flight pattern with a time limit. Score depended on ball volume, steel weight, flight laps, and written project proposal and test-flight reports. The contest was held at NAS Patuxent River, Maryland in April 2001.

Our final vehicle was a low wing, conventional configuration aircraft with a 10 ft wingspan, 1500 Watt motor, and a 16 pound maximum payload. Takeoff at the 35 pound gross weight required 200 ft. The primary structure consisted of carbon fiber skin with a foam core. The untapered, unswept, polyhedral wing consisted of a carbon fiber skin with a foam core; the spar was built-up of both a carbon fiber shear web and a wood spar cap. Configuration details and photos are available at http://bit.ly/Shamu2001. A large horizontal was required for short-field takeoff rotation, so we named the aircraft after a famous killer whale, Shamu. With this aircraft, our team won 1st place among 27 teams. An official AIAA write-up is available at http://bit.ly/Shamu2001-AIAA.

My Role

My role in the Aerodynamics Group was critical for the aircraft's performance and the team's success. My primary responsibility consisted of aircraft performance and contest score optimization. I converted the DBF contest's written “request for proposal” (i.e. rules) into a computational aircraft flight simulation in MathCad for tracking the aircraft's energy budget throughout the missions. A global optimization routine allowed for optimizing and selecting the plane, motor, and batteries simultaneously. Coordination of detailed performance data and interactions between the Structures and Propulsion groups became increasingly critical as aerodynamics performance, structural weight, and propulsion models developed from conceptual to final design tolerances. As the design process wound down, my responsibilities shifted to construction and then to flight testing. I constructed the wing spars and the carbon-fiber wing skins; the low Re airfoil necessitated smooth skins. Flight test data allowed for performance and simulation tuning, which allowed further score optimization.

Flight test clips of the prototype and final aircraft are at http://bit.ly/ShamuFlightTest.

Challenges

Challenges always exist in a complex project.

Weather uncertainties were amplified by the 200 foot takeoff constraint. Headwind determined the gross weight. This challenge forced a statistical optimization based on the plane and historical weather. Better yet, solving the challenge allowed real-time performance envelope and mission loading data for the flight crew.

During the prototype's flight tests, the cruise speed was significantly less than predicted. Working with experimental propeller, and motor curves, we identified that the motor winding was customized and differed from the motor's specification. A correctly wound motor fixed the cruise speed problem.

Airfoil selection was strongly constrained to low Re and high CL. Most airfoils meeting those criteria had strong maximum surface curvature with delicate trailing edges. After browsing experimental wind tunnel data and airfoil profiles, I selected a set of candidates, parameterized their CL, CD, and polar curves, and then simulated the competition score. The Eppler 423 was selected.

I enjoyed my senior design project and the challenges it presented.

Tuesday, March 6, 2012

Class Paper: Upper Atmosphere and Extra-Planetary Rarefied Flows


Upper Atmosphere and Extra-Planetary Rarefied Flows
MAE 5010 Microflows


Charles R. O’Neill

14 April 2005


This paper’s objective is to survey the Earth’s upper atmosphere,including unique meteorological phenomena and rarefied aerodynamics. The upper atmosphere’s fluid and electrical properties couple in interesting and unexpected ways.

The first section surveys the atmosphere. A meteorology section discusses specific upper altitude phenomena. The final section discusses rarefied aerodynamics.




The document is available here.

Monday, February 20, 2012

Project Review: Airfoil Aerodynamics System Identification

Aerodynamic System Identification
Charles O'Neill
December 2004

This project investigates aerodynamic system identification. An airfoil produces time varying loads based on the current and past boundary conditions; this project seeks to identify the lift loads resulting from pitch motion.
The first part discusses some unsteady aerodynamic theory. The second part discusses the identification process. The final part discusses conclusions and observations.

A Box-Jenkins model successfully modeled the lowand moderate airfoil reduced frequencies, but was  troublesome at higher frequencies. Interestingly, the Theodorsen theory qualitatively matches the CFD results except above approximately a reduced frequency of unity. The moderate frequency lift deficiency predicted by Theodorsen was found in the CFD solution and the Box-Jenkins model. Interestingly, as the high frequencies were resolved, the system appears more distributed. The final Box-Jenkins model accurately predicted the forces resulting from a validation input signal.

Bode Frequency Response of Data and Box-Jenkins Model

The project document is at sifinal.pdf.

How to Contact Me

Primary Contact is: charles.oneill@gmail.com or (617) 449-8206

LinkedIn: http://linkd.in/DrONeill-LinkedIn

Portfolio: http://www.youtube.com/user/CharlesONeillPhD

Personal Website: http://www.caselab.okstate.edu/ocharle/

Old Projects: http://www.caselab.okstate.edu/ocharle/reports.html