Glen ThroneberryMajor: Mechanical Engineering Mentor: Dr. Abdessattar Abdelkefi, Assistant Professor,Mechanical Engineering at New Mexico State University
I am a senior at New Mexico State University posed to graduate in May 2017 with a B.S. in Mechanical Engineering. I am the current president for Society of Automotive Engineers Baja at NMSU, an active member of Lambda Chi Alpha, and work in the Student Project Center for the Department of Mechanical and Aerospace Engineering. I have also been given the opportunity to work on my research focused on Vehicles the optimization of Flapping Wing Micro Air with Dr. Abdelkefi through the NM AMP program. I have also had the opportunity to have two summer internships with Chevron and will be going on my third in following graduation. Upon graduation and completion of my internship I plan to attend graduate school New Mexico State University and work to obtain my Ph.D. in Mechanical Engineering. Upon obtainment of my Ph.D. I hope to work in industry to gain real world knowledge and valuable experience that I hope I can one day bring back to a classroom as a professor. I hope that I can teach and motivate young engineers to pursue a field that motivates them and they are passionate about.
Design and Optimization of Bio-Inspired Micro/Nano Air Vehicles for Hovering
This study is focused on the optimization, design, and fabrication of Bio-inspired Flapping Wing Micro Air Vehicles (FWMAV). By optimizing drones, we are able to increase their flight time and allow them the ability to complete longer and more complex missions. Drones have many applications, for many different sectors. They are widely used in reconnaissance, search and rescue, military missions, and for many other missions. As their performance capabilities are increased, the number of missions that they are able to perform also increases. Inspiration for the design of these vehicles is being drawn from nature, specifically insects. Seven insects that have the unique ability to hover were chosen for this study in order to determine the most efficient wing for a FWMAV. By generating functions to represent each insect’s wing shape, the geometric and aerodynamic properties can be determined. Through these properties, the most efficient wing can for different applications can be determined. Upon verifying the most efficient wing shape, a FWMAV actuator mechanism will be designed and the full drone will be fabricated.