This paper is published in Volume-6, Issue-3, 2020
Area
Aeronautical Engineering
Author
Akshay Rajesh Prasad, Vivek Sharma
Org/Univ
Shrimati Kashibai Navale College of Engineering, Pune, Maharashtra, India
Pub. Date
16 June, 2020
Paper ID
V6I3-1490
Publisher
Keywords
Coefficient, Lift, Drag, lift to drag ratio, Angle of Attack, Fluid density, Fluid velocity, Characteristic length, Chord Length, Dynamic Viscosity

Citationsacebook

IEEE
Akshay Rajesh Prasad, Vivek Sharma. Performance analysis of high wing for a micro class unmanned aerial vehicle, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Akshay Rajesh Prasad, Vivek Sharma (2020). Performance analysis of high wing for a micro class unmanned aerial vehicle. International Journal of Advance Research, Ideas and Innovations in Technology, 6(3) www.IJARIIT.com.

MLA
Akshay Rajesh Prasad, Vivek Sharma. "Performance analysis of high wing for a micro class unmanned aerial vehicle." International Journal of Advance Research, Ideas and Innovations in Technology 6.3 (2020). www.IJARIIT.com.

Abstract

The paper deals with the design and performance analysis of high wing of a Micro Class Unmanned Aerial Vehicle. The wing design involves its initial considerations like and weight of the aircraft, planform selection, selection of airfoil, area of the wing and wing loading characteristics. The design is done based on the calculated values and performance analysis is done to show airfoil characteristics, and performance of the wing with the help of XFLR5 software. The objective of this project is to compare the results obtained for different wing planforms, different angle of attack over a range of speeds. From the results we will conclude which wing configuration meets the payload lifting goals. Selection of wing configuration is an iterative process. The iterative process allows us to accommodate other design criteria such as catering storage, systems installations (high lift devices, attachment of motors and the main undercarriage) which may or may not be directly related to the goals of the mission. The result of iterative optimization is typically a compromise in configuration which best satisfies the overall needs of the mission. The final decision upon configuration will represent a compromise based on design priorities