The evaluation of the effects of altitude on forced air convective cooling is studied experimentally. The evolution of the more electric aircraft has led to the adoption of high power electronics for flight critical systems and the need to mitigate their thermal loads. Changes in altitude affect properties that govern heat transfer, such as air pressure, density, and temperature. Current methodology behind heat transfer prediction lacks a comprehensive experimental validation at altitudes above 16,000 feet, relevant to commercial and military aircraft. The convective heat transfer coefficient at altitudes from 0 to 52,000 feet above sea level at sea level room temperature (~24°C) was measured through the use of a wind tunnel inside a vacuum chamber. Test results, with Reynolds number ranging from 500 to 14,000 and pressure from 0.1 atm to 1.0 atm, confirm that the Nusselt number and pressure loss coefficient are independent of altitude and can be determined from experimental measurement, numerical simulation, and suitable correlations obtained at sea level. Both quantities are functions of Reynolds number only. This experimental investigation will serve to provide a greater confidence iv for predictive methods of heat transfer at high altitude, which can lead to better optimized thermal management solutions for flight control electromechanical actuation systems. v ACKNOWLEDGEMENTS The completion of my master's thesis has required a lot of hard work. However, it would not have been possible without the support and guidance of advisors, coworkers, friends, and family. I would like to take the time to thank those individuals. I would first like to thank my family for always supporting me with my pursuits in my professional and educational careers. Without their advice and support I would not have been able to reach goals that I have. Next, I would like to thank my advisor Quinn Leland who provided me with the opportunity of a research assistantship through the Air Force Research Laboratory and whose valuable guidance led to the success of this project. I would like to thank Louis Chow from University of Central Florida. Without his technical expertise and guidance this project would not have been possible. I would also like to thank my advisor Jamie Ervin who originally referred me to the opportunity at the AFRL and who has been very helpful with the completion of this work. I would also like to thank all the individuals from the UDRI, AFRL and UCF who contributed advise, support and guidance along the journey of this thesis; my supervisor Bang Tsao from the University of Dayton Research Institute, as well as my other colleagues from UDRI, Steve Fuchs, John Murphy and Street Barnett. I would like to thank my interns, Paul Fuchs and Zach Adamson who were instrumental with vi construction and testing of this experiment. My gratitude also goes to Yeong-Ren Lin from UCF who provided valuable insight into designing this experiment. I would also like to thank Justin Delmar and Mike Bruggeman from the AFRL who each uniquel...