College - Author 1
College of Engineering
Department - Author 1
Mechanical Engineering Department
Degree Name - Author 1
BS in Mechanical Engineering
College - Author 2
College of Engineering
Department - Author 2
Mechanical Engineering Department
Degree - Author 2
BS in Mechanical Engineering
College - Author 3
College of Engineering
Department - Author 3
Mechanical Engineering Department
Degree - Author 3
BS in Mechanical Engineering
College - Author 4
College of Engineering
Department - Author 4
Mechanical Engineering Department
Degree - Author 4
BS in Mechanical Engineering
Date
6-2022
Primary Advisor
Peter Schuster, College of Engineering, Mechanical Engineering Department
Abstract/Summary
Mountain bike suspensions systems are set up and tuned based only on qualitative, ‘feeling’-based metrics. The MTB DAQ, sponsored by Dr. Joseph Mello with the Cal Poly Mechanical Engineering Department, is a data acquisition system we developed to improve suspension tuning with a data-driven approach. The system mounts to a bicycle frame and has sensors that measure vibration and travel speed to characterize the bike’s motion. While similar systems exist, they cost in the thousands of dollars range and are very specific to individual bike geometry. Our system was designed to be more affordable to the average rider as well as generalized to many bikes and easy to set up. From our preliminary field testing, we found promising results from data collected with our system at different suspension setups. Future work can be done to collect more data and improve the processing algorithms, allowing a rider to simply plug in data from a ride and receive a recommended change to their tuning setup.
URL: https://digitalcommons.calpoly.edu/mesp/656