Published Paper Details:

Traditional cam-follower test rigs rely on manual measurement techniques using tachometers, vernier scales, and protractors to analyze simple harmonic motion (SHM). These conventional methods are prone to human error, limited in precision, and unable to provide real-time data visualization. This research presents the development of an advanced digital cam-follower test rig integrating sensor-based data acquisition, automated measurement, and real-time computational analysis. The system employs a Royal Enfield Bullet cam-follower mechanism with a rotary encoder for RPM and angular position measurement, and a Linear Variable Differential Transformer (LVDT) for follower displacement measurement. An Arduino microcontroller transmits data to a custom Python software platform which implements signal processing algorithms to generate kinematic graphs: cam angle vs. follower displacement, velocity, and acceleration. The system also automatically reconstructs the complete cam profile. Experimental validation demonstrates measurement accuracy improvement of 95%, data acquisition time reduced by 80%, and the capability to analyze complex motion patterns previously undetectable with manual methods. This digital test rig serves as a modern pedagogical tool bridging theoretical concepts with Industry 4.0 measurement technologies.