Thesis (M.S.)--Oklahoma State University, 2009. / Vita. Includes bibliographical references.

Thesis (Ph.D.) -- University of Texas at Arlington, 2008.

Thesis (M.S. in Aeronautical Engineering)--Naval Postgraduate School, September 1990. / Thesis Advisor(s): Shreeve, Raymond P. Second Reader: Hobson, Garth V. "September 1990." Description based on title screen as viewed on December 18, 2009. DTIC Descriptor(s): Rotors, Turbofan Engines, Waves, Gases, Pressure, Ratios, Computer Programs, Cycles. DTIC Identifier(s): Wave Rotors, Rotors, Waves, Theses. Author(s) subject terms: Turbofan Engines, Turbofan engines with a Wave Rotor. Includes bibliographical references (p. 95-96). Also available in print.

Thesis (M.S.)--Oklahoma State University, 2009. / Vita. Includes bibliographical references.

Thesis (Ph. D.)--Texas A & M University, 2003. / "Major Subject: Aerospace Engineering." Title from author supplied metadata. Includes bibliographical references.

Thesis (M.S.)--Texas A & M University, 2003. / "Major Subject: Aerospace Engineering." Title from author supplied metadata. Includes bibliographical references.

Thesis (M.S.)--Texas A & M University, 2003. / "Major Subject: Aerospace Engineering." Title from author supplied metadata. Includes bibliographical references.

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009. / Source: Dissertation Abstracts International, Volume: 70-06, Section: B, page: 3755. Adviser: Jonathan Freund. Includes bibliographical references (leaves 107-110) Available on microfilm from Pro Quest Information and Learning.

<p> A comprehensive survey of available numerical methods and models was performed on the open source computational fluid dynamics solver OpenFOAM version 2.0 for incompressible turbulent bluff body flows. Numerical methods are illuminated using source code for side-by-side comparison. For validation, the accuracy of flow predictions over a sphere in the subcritical regime and delta wing with sharp leading edge is assessed. Solutions show mostly good agreement with experimental data and data obtained from commercial software. A demonstration of the numerical implementation of a dynamic hybrid RANS/LES framework is also presented, including results from test studies. </p>

<p> The prolific development of Unmanned Aerial Vehicles (UAV&rsquo;s) in recent years has the potential to provide tremendous advantages in military, commercial and law enforcement applications. While safety and performance take precedence in the development lifecycle, autonomous operations and, in particular, cooperative missions have the ability to significantly enhance the usability of these vehicles. The success of cooperative missions relies on the optimal allocation of targets while taking into consideration the resource limitation of each vehicle. The task allocation process can be centralized or decentralized. This effort presents the development of a real time target allocation algorithm that considers available stored energy in each vehicle while minimizing the communication between each UAV. The algorithm utilizes a nearest neighbor search algorithm to locate new targets with respect to existing targets. Simulations show that this novel algorithm compares favorably to the mixed integer linear programming method, which is computationally more expensive. The implementation of this algorithm on Arduino and Xbee wireless modules shows the capability of the algorithm to execute efficiently on hardware with minimum computation complexity.</p>