cfdcaduavaerodynamicsroboticsautonomy

Skrunners

Aerodynamics lead on a campus autonomous drone delivery team — CADed a blended-fuselage fixed-wing UAV, designed the payload/vertiport interface, and applied CFD iteration and physics-informed inference for stability prediction.

Overview

Skrunners is a campus autonomous drone delivery team operating under Stanford Student Robotics. As Aerodynamics Lead and Systems Integration Engineer, I am responsible for the aerodynamic design of the delivery UAV and the physical interfaces between the airframe, payload system, and ground infrastructure.

Airframe Design

I CADed a blended-fuselage fixed-wing UAV sized to carry campus delivery payloads within the team’s packaging constraints. The blended fuselage reduces wetted area and smooths the transition between the payload bay and lifting surfaces compared to a conventional tube-and-wing layout.

Key design considerations:

CFD & Stability Analysis

To accelerate the design loop without full CFD on every iteration, I applied a physics-informed inference model that uses a small set of CFD-evaluated anchor points combined with analytical thin-airfoil and lifting-line theory to predict:

This hybrid approach delivers reliable stability estimates at a fraction of the computational cost of running full CFD on every geometry variant.

Payload & Vertiport Interface

I designed the payload interface for reliable pickup and dropoff — a bottom-mounted bay with a latched door actuated by a servo, sized for the team’s standardized delivery container. The vertiport interface defines the alignment guides, locking mechanism, and electrical contacts for autonomous charging between flights.