Prospective Aerobody Designs - Gen 12

Apr 2023 - Dec 2023

Description: As the aerodynamics lead for Gen 12, I was responsible for the aerodynamic development of our solar car, designing and evaluating 50+ prospective aerobody designs to maximize performance. Focused on minimizing drag and maximizing efficiency through my optimized design process and iterative testing aiming to have a lower average simulated CdA than Gen 11 (≈0.0667). The optimized design process involved integrating aerodynamic considerations with structural, solar, and mechanical constraints to develop a balanced and high-performance design.

I also led the optimization of our approved designs, implementing more efficient simulation workflows, and automated draftability analysis. These improvements significantly reduced iteration times, allowing for faster design exploration and validation. Collaborating closely with other sub-teams, I ensured seamless integration between aerodynamics and overall vehicle design, contributing to a more streamlined and competitive solar car.

Bridgestone World Solar Challenge

Sep 2023 - Nov 2023

Description: The Bridgestone World Solar Challenge is a two year design competition in which university students from around the world build cars to be run solely on solar energy. The race takes place from Darwin to Adelaide across the Australian outback which is a 3022 km course.

Role: During the race I led the operations team of about four people, my tasks were to take care of all the administrative duties. This included organizing accommodation, planning routes and procuring of supplies. It also included preparing meal plans and acquiring food.

Airfoil Parameterization Optimization

Mar 2023 - Jun 2023

Description: Airfoil Parameterization Optimization was made using X Foil, Python and MATLAB to suggest airfoils based on set parameters such as camber location, thickness and CdA. The algorithm used contains a huge database of NACA and other airfoils with their parameters. After a list of suggested airfoils is presented from the chosen parameters as well as ranked using the ranging parameter, Python and X Foil are used to do in depth calculation on a singular airfoil and gives out the Cl, Cd at various angles of attack to get an even more rigorous solution and choose the best suited airfoil.