Optimization of Super Heavy Lift Drone Design utilizing Computational Fluid Dynamics and a Design of Experiments approach

Heavy-lift drones offer promising solutions for challenges in wildfire response, construction, and logistics, thanks to their rapid deployment and lower environmental impact. As Pulshn focuses on developing drones capable of transporting heavy payloads, this research aims to support the optimization of drone design for enhanced performance and reliability. Specifically, the study will explore the aerodynamic behavior of ducted fan configurations to improve mass flow rate and thrust efficiency. Computational Fluid Dynamics (CFD) will be used to evaluate aerodynamic performance, while a Design of Experiments (DOE) approach will assess how key design parameters influence outcomes. The findings will guide the development of a next-generation heavy-lift drone capable of carrying up to 1,000 kilograms. This advancement aligns with Pulshn’s goals and could significantly expand commercial applications in emergency response, infrastructure development, and cargo transport.

Faculty Supervisor:

Hamza Abo El Ella

Student:

Partner:

pulshn

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

Carleton University

Program: