Development of a High-Precision Brake Wear Data Acquisition System for Motorsport Applications

This thesis is the result of a project completed during my internship at Visa Cash App Racing Bulls F1 team in Faenza (RA). The project aimed to develop a high-precision data acquisition system designed to measure and analyze brake material wear, focusing specifically on discs and pads. The thesis's objective was to rethink, improve, and optimize the existing test bench, with the ultimate goal of producing a second device to use directly on the track during Grand Prix weekends. The test bench, called the Brake Scanner, was designed to provide a precise and reliable tool for measuring brake wear after use, unlike the tools already in use. This allows for better predictive analysis of brake use and, consequently, better material management during race weekends. Since the second instrument would be used by different people, it needed to be accessible and usable by everyone. To improve the instrument, solutions were implemented to make it intuitive and error-free to use. The creation of a linear and error-free process made it possible to obtain accurate and reliable measurements. This ensures that the acquisitions are accurate and therefore comparable with others for data analysis.