Skip to content
GCC AI Research

Search

Results for "Formula One"

Supercomputing and 3D printing capture the aerodynamics of F1 cars

KAUST ·

KAUST researchers used the Shaheen XC40 supercomputer to simulate airflow around a McLaren 17D Formula One front wing endplate. They then 3D printed the wing with colored flow patterns to visualize key aerodynamic features. The team combined expertise from the Extreme Computing Research Center (ECRC), the Advanced Algorithm and Numerical Simulations Lab (AANSLab), and the Prototyping and Product Development Core Lab (PCL). Why it matters: This project showcases KAUST's supercomputing and 3D printing capabilities for advanced engineering applications, potentially impacting fields beyond Formula One aerodynamics.

Developing sensor solutions

KAUST ·

KAUST Associate Professor Jürgen Kosel has been named a distinguished lecturer of the Institute of Electrical and Electronics Engineers (IEEE) Sensors Council for 2020-2022. Kosel's research focuses on sensors and transducers with applications in animal monitoring, precision farming, Formula One racing, and biomedical instruments. His group is also developing magnetic devices for high-density data storage and cancer treatment. Why it matters: This recognition highlights KAUST's contributions to sensor technology and its potential impact on diverse fields, including healthcare in developing regions.